An Italian team has built a prototype robot they call Dustbot which is aimed (in a backwards way) at the deliverbot vision.
The goal of the dustbot is to travel on demand to houses through the narrow, pedestrian streets of European cities so people can give the robot their trash, which it then takes back to the dump and drops there. It does not automate the pickup of the trash — you have to be there and put your bag into it, though it is able to drop it on it own. It is not clear if they plan to have it operate on streets with cars, or if it is truly ready to wander with civilians.
This is an evolutionary extension of the already common delivery robots used in factory floors and in hospitals. The hospital robots interact with the general public, and do it simply by being so slow that impact or injury is very unlikely, even with a programming error. But looking at the market of the very narrow, mostly or all-pedestrian ancient urban street, the challenge is more difficult than a hospital, but not as difficult as a vehicle that has to go fast enough that it could hurt somebody.
In tune with my predictions about deliverbots, the key is that the robot does not have to be in a hurry, so it can go as slow as is necessary to be safe. As the system improves, that speed gets faster and faster until it’s practical to go on urban streets at 15mph (ducking out of the way of cars) and eventually at the same speed as the cars. This robot can also be limited to a specific area in which it is well tested and armed with accurate data, because that’s much less of a restriction on delivery robots than it is on cars. (If you need to deliver elsewhere, use another service — but people will resist a taxi that will only take them certain places.)
Dustbot is probably too slow right now to be economical, particularly because you must wait for it. A robot that can pick up a standardized container is not too hard, however. One nice advantage of working on the trash problem is that there is no issue in leaving it on the street, so you don’t need to arrange home access for deliveries as a deliverbot would. There’s also little risk of piracy of the cargo, or damaging it.
There’s lots of video and photos on the site, here is a fluffy BBC video about the Dustbot. Note that this is about a year old — I just had not heard of it until recently.
Here’s an idea that seems a bit wild and scary at first, but it’s doable today and has broad benefits: Small aircraft that don’t have landing gear, but instead land and take off from robotic “can’t miss” platforms pulled by cables on short airfields.
For every small aircraft purchaser, a big decision is whether to get retractable landing gear. They are very expensive, and create a risk of failure, but your plane will fly a lot faster and be more fuel efficient if you get them. What if we could leave the landing gear on the ground?
Imagine a wheeled platform on the runway with robotic control and a variety of systems to perfectly track an approaching aircraft. Pulled by cables, it can accelerate at several “g”s forward and back and left and right. As the aircraft approaches it tracks it and the cockpit display indicates positive lock. If the plane veers left, it veers left. If the plane speeds up it speeds up. Pretty much no matter what the pilot or winds do (other than missing the runway entirely) the plane can’t miss landing on it. It’s spring loaded so even if the landing is a bit hard the shock is cushioned. Done right, it’s just like having fancy shock absorbing landing gear. read more »
This story from the Register about a test at the Stanford VAIL Lab reports an interesting result. They created a fake robocar, with a human driver hidden in the back. The test subjects then were told they could push the autopilot button and use the car. And they did, immediately picking up their newspapers to read as they would in a taxi (which is what they really were in.)
Not only that, when they were told the robot could not figure out the situation and needed human assist, they gave it, and then went right back to autopilot.
So trust of a robocar is already at a higher level than we might expect. I’ve ridden in Junior, and K. has stood in front of it, but that was with a human ready to take over the controls. Like many others pondering the future of robotic transportation, I believe we’ll only put robocars on our ordinary streets once they demonstrate a level of safety much superior to human drivers what I call the “robocar vision.” This does not mean a perfect level of safety, though, and the resulting accidents and occasional fatalities will be the cause of much debate and legal wrangling which will slow the development of the technology when it is saving lives.
Update: You might also like the Cute VW concept video where the dad explains to his son all the strange concepts like petrol, driving, traffic jams, accidents and parking.
Today marks the start of a remarkable robocar trek from Italy to China. The team from the Vislab International Autonomous Challenge start in Italy and will trek all the way to Shanghai in electric autonomous vehicles, crossing borders, handling rough terrain and going over roads for which there are no maps in areas where there is no high-accuracy GPS.
This would be impossible today so they are solving that problem by having a lead car which drives mostly autonomously, but sometimes has the humans take over, particularly in areas where there are no maps. This vehicle can be seen by the other vehicles and also transmits GPS waypoints to them, so they can follow those waypoints and use their sensors to fill in the rest. The other vehicles also will have humans to correct them in case of error, and the amount of correction needed will be recorded. Some of the earliest robocar experiments in Germany used this approach, driving the highways with occasional human correction. (The DARPA grand challenges required empty vehicles on a closed course, and no human intervention, except the kill switch, was allowed.)
This should be a tremendous challenge with much learned along the way about what works and what doesn’t. As a computer vision lab, these cars appear to want to use vision a lot more than other robocars, which have gone LIDAR all the way. (There are LIDARs on the Vislab cars, but not as fancy as the 64 line Velodyne.)
They are using electric cars to send a green message. While I do believe that the robocars of the future will indeed be electric, and that self-recharge is a cruicial element of the value of robocars, I am not as fond of this decision. “One thing at a time” is the philosophy that makes sense, so I think it’s better to start with proven and easy to refuel gasoline cars and get the autonomy working, then improve what’s underneath. But this is a minor quibble about an exciting project.
They have a live tracking tool (not up yet) and a blog you can follow.
More robocar news to come. Yesterday I had an interesting ride in Junior (Darpa Grand Challenge II winner) and we trusted it enough to have Kathryn stand in the crosswalk while Junior drove up to it, then stopped and waited for her to walk out of it.
I don’t often write about robots that don’t go on roads, but last night I stopped by Willow Garage, the robot startup created by my old friend Scott Hassan. Scott is investing in building open robotics platforms, and giving much of it out free to the world, because he thinks progress in robotics has been far too slow.
Last night they unveiled their beta PR2 robots and gave 11 of them to teams from 11 different schools and labs. Those institutions will be all trying to do something creative with the robots, just as a Berkeley team quickly made it able to fold towels a few months ago.
I must admit, as they marched out the 11 robots and had them do synchronous dance there was a moment (about 2 minutes 20 seconds in that video) when it reminded me of a scene from some techno thriller, where the evil overload unveils his new robots to an applauding crowd, and the robots then turn and kill all the humans. Fortunately this did not happen. The real world is very different, and these robots will do a lot of good. They have a lot of processing power, various nice sensors and 2 arms with 7 degrees of freedom. They run ROS, an open source robot operating system which now runs on many other robots.
I was interested because I have proposed that having an open simulator platform for robocars could also spur development from people without the budgets to build their own robocars (and crash them during testing.) A robocar test model is going to involve at least $150,000 today and will get damaged in development, and that’s beyond small developers. The PR2 beta models cost more than that, but Willow Garage’s donations will let these teams experiment in personal robotics.
Of course, it would be nice for robocars if there were an inexpensive robocar that teams could get and test. Right now though, everybody wants a sensor as nice as the $75,000 Velodyne LIDAR that powered most of the top competitors in the DARPA urban challenge, and you can’t get that cheaply yet — except perhaps in simulator.
Last week, I attended a talk by Marc Raibert the former MIT Professor who founded Boston Dynamics, the makers of the BigDog 4-legged walking robot. If you haven’t seen the various videos of BigDog you should watch them immediately, as this is some of the most interesting work in robotics today.
Walking pack robots like BigDog have a number of obvious applications, but at present they are rather inefficient. BigDog is powered by a a 2 stroke compressor that drives hydraulics. That works well because the legs don’t need engines but can exert a lot of force. However, its efficiency is in the range of 2 gallons per mile, though this is just a prototype level. It is more efficient on flat terrain and pavement, but of course wheels are vastly more efficient there. As efficient as animals are, wheeled vehicles are better if you don’t make them heavy as tanks and SUVs.
BigDog walks autonomously but today is steered by a human, or in newer versions, can follow a human walking down a trail, walking where she walked. In the future they want to make an autonomous delivery robot that can be told to take supplies to troops in the field, or carry home a wounded soldier.
I wondered if BigDog isn’t trying too hard to be a mule, carrying all the weight up high. This makes it harder for it to do its job. If it could just tow a sledge (perhaps a container with a round teflon bottom with some low profile or retractable wheels) it might be able to haul more weight. Particularly because it could pay out line while negotiating something particularly tricky and then once stable again, reel in the line. This would not work if you had to go through boulders that might catch the trailer but for many forms of terrain it would be fine. Indeed, Boston Dynamics wants to see if this can work. On the other hand, they did not accept my suggestion that they put red dye in the hydraulic fluid so that it spurts red blood if damaged or shot.
The hydraulic design of BigDog made me wonder about applications to robocars. In particular, it seems as though it will be possible to build a light robocar that has legs folded up under the chassis. When the robocar got to the edge of the road, it could put down the legs and be able to climb stairs, go over curbs, and even go down dirt paths and rough terrain. At least a lightweight single person robocar or deliverbot might do this. read more »
At the positive end of my prediction that robocars will enable people to travel in “the right vehicle for the trip” and given that most trips are short urban ones, it follows that most robocars, if we are efficient, will be small light vehicles meant for 1-2 people, with a lesser number of larger ones for 4-5 people. 2 person cars can even be face to face, allowing them to be under 5’ wide, though larger ones will be as wide as today’s cars, with some number as big as vans, RVs and buses.
Small, lightweight vehicles are not just greener than transit, they also require far less expensive road. While the initial attraction of robocars is that they can provide private, automated, efficient transportation without any new infrastructure, eventually we will begin building new development with robocars in mind. Various estimates I have seen for multi-use paths suitable for people, bikes and golf carts range around $100K to $200K per mile, though I have heard of projects which, thanks to the wonders of government contracting, soar up to $1M per mile. On the other hand, typical urban streets cost $2M to $3M per mile, an order of magnitude more.
Consider a residential robocar block. It might well be served by a single 10’ lightweight use lane. That lane might run along the backs of the houses — such back alley approaches are found in a number of cities, and people love them since the garage (if there is one) does not dominate the front of your home. It might also be in the front of the house. New construction could go either way. Existing areas might decide to reclaim their street into a block park or more land for the homeowners, with a robocar street, sidewalk and bike path where the road used to be.
We only need a single lane in one direction on most streets, though the desire to get 8’ wide vehicles in means there would be 2 lanes for the narrow vehicles. The lane would have no specific direction, rather it would be controlled by a local computer, which would tell incoming vehicles from which direction to enter the lane and command waiting vehicles to get out of the way. Small wider spots or other temporary holding spots would readily allow cars to pass through even if another vehicle is doing something.
You would not need a garage for your robocar as you can store it anywhere nearby that you can find space, or hire it out when you don’t need it. You might not even own any robocar, in which case you certainly don’t need a garage to store one. However, you probably will want a “delivery room,” which is something like a garage which has a driveway up to it. Deliverbots could use this room — they would be given the code to open the door — to drop off deliveries for you in a protected place. You could also have the “room of requirement” I describe in the deliverbots page.
This plan leaves out one important thing — heavy vehicles. We still need occasional heavy vehicles. They will deliver large and heavy items to our houses, ranging from hot tubs to grand pianos. But even heavier are the construction machines used in home construction and renovation, ranging from cranes to earth movers. How can they come in, when their weight would tear up a light-duty road?
The answer is, not surprisingly, in robotics. The heavy trucks, driven by robots, will be able to place their tires quiet precisely. We can engineer our robocar paths to include two heavy duty strips with deeper foundations and stronger asphalt, able to take the load.
Alternately, since the tires of the trucks will be further apart than our robocars, they might just run their tires on either side of a more narrow path, essentially on the shoulders of the path. These shoulders could be made not from heavy duty materials, but from cheap ones, like gravel or dirt. The trucks would move only very slowly on these residential blocks. If they did disturb things there, repair would be easy, and in fact it’s not too much of a stretch to predict either a road repair robot or a small road repair truck with a construction worker which moves in when problems are detected.
The volume of heavy trucks can be controlled, and their frequency. Their use can be avoided in most cases in times when the pavement is more fragile, such as when the ground is soaked or freezing. If they do damage the road, repair can be done swiftly — but in fact robocars can also be programmed to both go slowly in such alleys (as they already would) and avoid any potholes until the gravel robot fills them. Robocars will be laser scanning the road surface ahead of them at all times to avoid such things in other areas.
I keep coming up with dramatic savings that robocars offer, and the numbers, already in the trillions of dollars and gigatons of CO2 seem amazing, but this is another one. Urban “local roads” are 15% of all U.S. road mileage, and rural local roads are 54%. (There are just over 2.6 million paved road-miles in the USA.) To add to the value, road construction and asphalt are major greenhouse gas sources.
Last week, Volvo was demoing some new collision avoidance features in their S60. I’ve talked about the S60 before, as it surprised me putting pedestrian detection into a car before I expected it to happen. Unfortunately in an extreme case of demo disease known to all computer people, somebody has made an error with the battery, and in front of a crowd of press, the car smashed into the truck it was supposed to avoid. The wired article links to a video.
Poor Volvo, having this happen in front of all the press. Of course, their system is meant to be used in human driven cars, warning the driver and braking if the driver fails to act — not in a self-driving vehicle. And they say that had their been a driver there would have been an indication that the system was not operating.
While this mistake is the result of a lack of maturity in the technology, it is important to realize that as robocars are developed there will be crashes, and some of the crashes will hurt people and a few will quite probably kill people. It’s a mistake to assume this won’t happen, or not to plan for it. The public can be very harsh. Toyota’s problems with their car controllers (if that’s where the problems are — Toyota claims they are not — have been a subject of ridicule for what was (and probably still is) one of the world’s most respected brands. The public asks, if programmers can’t program simple parts of today’s cars, can they program one that does all the driving?
There are two answers to that. First of all, they can and do program computerized parts of today’s cars all the time and by and large have perfect safety records.
But secondly, no they can’t make a complete driving system perfectly safe, certainly not at first. It is a complex problem and we’ll wait a long time before the accident rate is zero. And while we wait, human drivers will kill millions.
Our modern society has always had a tough time with that trade-off. Of late we’ve been coming to demand perfect safety, though it is impossible. Few new products are allowed out if it is known that they will have any death rate due to their own flaws. Even if those flaws are not known in the specific, but are known to be highly likely to exist in some fashion. American juries, faced with minutes of a meeting where the company decided to “release the product, even though predictions show that bugs will kill X people” will punish the company nastily, even though the alternative was “don’t release and have human drivers kill 10X people.” The 9X who were saved will not be in the courtroom. This is one reason robocars may arise outside the USA first.
Of course, there might be cases the other way. A drunk who kills somebody when he could have taken a robocar might get a stiffer punishment. A corporation that had its employees drive when robotic systems were clearly superior might find a nasty judgement — but that would require that it was OK to have the cars on the road in the first place.
But however this plays out, developers must expect there will be bugs, an bugs with dire consequences. Nobody will want those bugs, and all the injuries will be tragic, but so is being too cautious on deployment. Can the USA figure a way to make that happen?
This weekend I attended the annual “Robogames” competition, which took place here in the Bay Area. Robogames is mostly a robot battle competition, with a focus on heavily armed radio-controlled robots fighting in a protected arena. For several years robot fighting was big enough to rate some cable TV shows dedicated to it. The fighting is a lot of fun, but almost entirely devoid of automation — in fact efforts to use automation in battle robots have mostly been a failure.
The RC battles are fierce and violent, and today one of the weapons of choice is something heavy that spins at very high speed so that it builds up a lot of angular momentum and kinetic energy, to transfer into the enemy. People like to see robots flying through the air and losing parts to flying sparks. (I suspect this need to make robots very robust against attack makes putting sensors on the robots for automation difficult, as many weapons would quickly destroy a lot of popular sensors types.)
The games also featured a limited amount of automated robot competition. This included some lightweight (3lb and 1lb) automated battles which I did not get to watch, and some some hobby robot competitions for maze-running, line following, ribbon climbing and LEGO mindstorms. There was also semi-autonomous robot battle called “kung fu” where humanoid robots who take high level commands (like punch, and step) try to push one another over. There is also sumo, a game where robots must push the other robot out of the ring.
I had hoped the highlight would be the Robo-magellan contest. This is a hobbyist robot car competition, usually done with small robots 1 to 2 feet in length. Because it is hobbyists, and often students, the budgets are very small, and the contest is very simple. Robots must make it through a simple outdoor course to touch an orange cone about 100 yards away. They want to do this in the shortest time, but for extra points they can touch bonus cones along the way. Contestants are given GPS coordinates for the target cones. They get three tries. In this particular contest, to make it even easier, contestants were allowed to walk the course and create some extra GPS waypoints for their robots.
These extra waypoints should have made it possible to do the job with just a GPS and camera, but the hobbyists in this competition were mostly novices, and no robot reached the final cone. The winner got within 40 feet on their last run, but no performance was even remotely impressive. This was unlike past years, where I was told that 6 or more robots would reach the target and there would be real competition. This year’s poor showing was blamed on budgets, and the fact that old teams who had done well had moved on from the sport. Only 5 teams showed up.
The robots were poor for sensors. While all would have a GPS, in 1 or 2 cases the GPS systems failed and the robots quickly wandered into things. A few had sonar or touch-bars for obstacle detection, but others did not, and none of them did their obstacle detection well at all. For most, if they ran into something, that was it for that race. Some used a compass or accelerometers to help judge when to turn and where to aim, since a GPS is not very good as a compass. read more »
I’ve been predicting a great deal of innovation in cars with the arrival of robocars and other automatic driving technologies. But there’s a lot of other computerization and new electronics that will be making its way into cars, and to make that happen, we need to make the car into a platform for innovation, rather than something bought as a walled garden from the car vendor.
In the old days, it was fairly common to get a car without a radio, and to buy the radio of your choice. This happened even in higher end cars. However, the advantages in sound quality and dash integration from a factory-installed radio started to win out, especially with horizontal market Japanese companies who were both good at cars and good at radios.
For real innovation, you want a platform, where aftermarket companies come in and compete. And you want early adopters to be able to replace what they buy whenever they get the whim. We replace our computers and phones far more frequently than our cars and the radios inside them.
To facilitate this, I think the car’s radio and “occupant computer” should be merged, but split into three parts:
The speakers and power amplifier, which will probably last the life of the car, and be driven with some standard interface such as 7.1 digital audio over optical fiber.
The “guts” which probably live in the trunk or somewhere else not space constrained, and connect to the other parts
The “interface” which consists of the dashboard panel and screen, with controls, and any other controls and screens, all wired with a network to the guts.
Ideally the hookup between the interface and the guts is a standardized protocol. I think USB 3.0 can handle it and has the bandwidth to display screens on the dashboard, and on the back of the headrests for rear passenger video. Though if you want to imagine an HDTV for the passengers, its possible that we would add a video protocol (like HDMI) to the USB. But otherwise USB is general enough for everything else that will connect to the guts. USB’s main flaw is its master-slave approach, which means the guts needs to be both a master, for control of various things in the car, and a slave, for when you want to plug your laptop into the car and control elements in the car — and the radio itself.
Of course there should be USB jacks scattered around the car to plug in devices like phones and memory sticks and music players, as well as to power devices up on the dash, down in the armrests, in the trunk, under the hood, at the mirror and right behind the grille.
Finally there need to be some antenna wires. That’s harder to standardize but you can be we need antennas for AM/FM/TV, satellite radio, GPS, cellular bands, and various 802.11 protocols including the new 802.11p. In some cases, however, the right solution is just to run USB 3.0 to places an antenna might go, and then have a receiver or tranceiver with integrated antenna which mounts there. A more general solution is best.
This architecture lets us replace things with the newest and latest stuff, and lets us support new radio protocols which appear. It lets us replace the guts if we have to, and replace the interface panels, or customize them readily to particular cars. read more »
A couple of weeks ago I wrote about the need for a good robocar driving simulator. Others have been on the track even earlier and are arranging a pair of robotic driving contests in simulator for some upcoming AI conferences.
The main contest is a conventional car race. It will be done in the TORCS simulator I spoke of, where people have been building robot algorithms to control race cars for some time, though not usually academic AI researchers. In addition, they’re adding a demolition derby which should be a lot of fun, though not exactly the code you want to write for safety.
This is, however, not the simulator contest I wrote about. The robots people write for use in computer racing simulators are given a pre-distilled view of the world. They learn exactly where the vehicle is, where the road edges are and where other cars are, without error. Their only concern is to drive based on the road and the physics of their vehicle and the track, and not hit things — or in the case of the derby, to deliberately hit things.
The TORCS engine is a good one, but is currently wired to do only an oval racetrack, and the maintainers, I am told, are not interested in having it support more complex street patterns.
While simulation in an environment where all the sensing problems are solved is a good start, a true robocar simulation needs simulated sensors — cameras, LIDAR, radar, GPS and the works — and then software that takes that and tries to turn it into a map of where the road is and where the vehicles and other things are. Navigation is also an important thing to work out. I will try to attend the Portland version of this conference to see this contest, however, as it should be good fun and generate interest.
It is no coincidence that two friends of mine have both founded companies recently to build telepresence robots. These are easy to drive remote control robots which have a camera and screen at head height. You can inhabit the robot, and drive it around a flat area and talk to people by videoconferencing. You can join meetings, go visit people or inspect a factory. Companies building these robots, initially at high prices, intend to sell them both to executives who want to remotely tour remote offices and to companies who want to give cheaper remote employees a more physical presence back at HQ.
There are also a few super-cheap telepresence robots, such as the Spykee, which runs Skype video conferencing and can be had for as low as $150. It’s not very good, and the camera is very low down, and there’s no screen, but it shows just how cheap such a product can get.
“Anybots” QA telepresence robot
When they get down to a price like that, it seems inevitable to me that we will see an emergency services robot on every block, primarily for use by the police. When there is a police, fire or ambulance call to an address, an officer could immediately connect to the robot on that block and drive it to the scene, to be telepresent. The robot would live in a small, powered protective closet either paid for by the city, but more likely just donated by some neighbour on the block who wants the fastest possible emergency response. Called into action, the robot’s garage door would open and the robot would drive out, and probably be at the location of the emergency within 60 to 120 seconds, depending on how densely they are placed. In the meantime actual first responders might also be on the way.
Watching and managing children is one of the major occupations of the human race. A true robot babysitter is still some time in the future, and getting robocars to the level that we will trust them as safe to carry children is also somewhat in the future, but it will still happen much sooner.
Today I want to explore the implications of a robocar that is ready to safely carry children of certain age ranges. This may be far away because people are of course highly protective of their children. They might trust a friend to drive a child, even though human driving records are poor, because the driver is putting her life on the line just as much as the child’s, while the robot is just programmed to be safe, with no specific self-interest.
A child’s robocar can be designed to higher safety standards than an adult’s, with airbags in all directions, crumple zones designed for a single occupant in the center and the child in a 5-point seatbelt. As you know, with today’s modern safety systems, racecar drivers routinely walk away from crashes at 150mph. Making a car that won’t hurt the child in a 40mph crash is certainly doable, though not without expense. A robocar’s ability to anticipate an accident might even allow it to swivel the seat around so that the child’s back is to the accident, something even better than an airbag.
The big issue is supervision of smaller children. It’s hard to say what age ranges of children people might want to send via robocar. In some ways infants are easiest, as you just strap them in and they don’t do much. All small children today are strapped in solidly, and younger ones are in a rear facing seat where they don’t even see the parent. (This is now recommended as safest up to age 4 but few parents do that.) Children need some supervision, though real problems for a strapped in child are rare. Of course, beyond a certain age, the children will be fully capable of riding with minimal supervision, and by 10-12, no direct supervision (but ability to call upon an adult at any time.) read more »
One of the things that’s harder to predict about robocars is what they will mean for how cities are designed and how they evolve. We’re notoriously bad at predicting such things, but it is still tempting.
A world of robocars offers the potential for something I am dubbing the “poor man’s teleporter.” That’s a fleet of comfortable robotaxis that are, while you are in them, a fully functional working or relaxing environment. Such robotaxis would have a desk and large screen and very high speed wireless net connection. They have a comfy reclining chair (or bed) and anything else you need from the office environment. (Keyboards and mice are problematic, as I have discussed elsewhere, but there may be ways to solve that.)
The robotaxi will deliberately pick the most comfortable route for a trip, with few turns, few stops and gentle acceleration. It will gimbal in corners and have an active suspension system eliminating bumps. The moment you enter it, your desktop could appear on the screen, copied from the desk you left (thanks to communication with one of your wearable devices, probably.) You can do high quality videoconferencing, work on the net, or just watch a video or read a book — the enclosed book reader could be set to the page you were last reading elsewhere. If you work in a building with a lobby, the electric robotaxi could enter the lobby and meet you right at the elevator. It might even go vertical and ride up the elevator to get you during less busy times. (For some real science fiction, the robotaxis in Minority Report somehow climbed the buildings and parked in people’s homes.)
For many it would be as though they had not left their desks. Almost all the trip will be productive time. As such, while people won’t want to spend forever in the car, many might find distance and trip time to not be particularly important, at least not for trips around town during the workday. While everybody wants to get home to family sooner, even commute times could become productive times with employers who let the employee treat the travel time as work time. Work would begin the moment you stepped into the car in the morning.
We’ve seen a taste of this in Silicon Valley, as several companies like Google and Yahoo run a series of commute vans for their employees. These vans have nice chairs, spaces for laptops and wireless connectivity into the corporate network. Many people take advantage of these vans and live in places like San Francisco, which may be an hour-long trip to the office. The companies pay for the van because the employees start the workday when they get on it.
This concept will continue to expand, and I predict it will expand into robocars. The question is, what does it mean to how we live if we eliminate the time-cost of distance from many trips? What if we started viewing our robotaxis as almost like a teleporter, something that takes almost no time to get us where we want to go? It’s not really no-time, of course, and if you have to make a meeting you still have to leave in time to get there. It might be easier for some to view typical 15 minute trips around a tight urban area as no-time while viewing 30-60 minute trips as productive but “different time.”
Will this make us want to sprawl even more, with distance not being important? Or will we want to live closer, so that the trips are more akin to teleportation by being productive, short and highly predictable in duration? It seems likely that if we somehow had a real Star-Trek style transporter, we might all live in country homes and transport on demand to where the action is. That’s not coming, but the no-lost-time ride is. We might not be able to afford a house on the nice-walkable-shops-and-restaurants street, but we might live 2 miles from it and always be able to get to it, with no parking hassle, in 4 minutes of productive time.
What will the concept of a downtown mean in such a world? “Destination” retailers and services, like a movie house, might decide they have no real reason to be in a downtown when everybody is coming by robotaxi. Specialty providers will also see no need to pay a premium to be in a downtown. Right now they don’t get walk-by traffic, but they do like to be convenient to the customers who seek them out. Stores that do depend on walk-by traffic (notably cafes and many restaurants) will want to be in places of concentration and walking.
But what about big corporate offices that occupy the towers of our cities? They go there for prestige, and sometimes to make it easy to have meetings with other downtown companies. They like having lots of services for their employees and for the business. They like being near transit hubs to bring in those employees who like transit. What happens when many of these needs go away?
For many people, the choice of where to live is overwhelmingly dominated by their children — getting them nice, safe neighbourhoods to play in, and getting them to the most desired schools. If children can go to schools anywhere in a robocar, how does that alter the equation? Will people all want bigger yards in which to cacoon their children, relying on the robocar to take the children to play-dates and supervised parks? Might they create a world where the child goes into the garage, gets in the robocar and tells it to go to Billy’s house, and it deposits the child in that garage, never having been outside — again like a teleporter to the parents? Could this mean a more serious divorce between community and geography?
While all this is going on, we’re also going to see big strides in videoconferencing and virtual reality, both for adults, and as play-spaces for adults and children. In many cases people will be interacting through a different sort of poor man’s teleporter, this one taking zero time but not offering physical contact.
Clearly, not all of these changes match our values today. But what steps that make sense could we actually take to promote our values? It doesn’t seem possible to ban the behaviours discussed above, or even to bend them much. What do you think the brave new city will look like?
It is often said that cars caused the suburbanization of cities. However, people didn’t decide they wanted a car lifestyle and thus move where they could drive more. They sought bigger lots and yards, and larger detached houses. They sought quieter streets. While it’s not inherent to suburbs, they also sought better schools for kids and safer neighbourhoods. They gave up having nearby shops and restaurants and people to get those things, and accepted the (fairly high) cost of the car as part of the price. Most often for the kids. Childless and young people like urban life; the flight to the suburbs was led by the parents.
This doesn’t mean they stopped liking the aspects of the “livable city.” Having stuff close to you. Having your friends close to you. Having pleasant and lively spaces to wander, and in which you regularly see your friends and meet other people. Walking areas with interesting shops and restaurants and escape from the hassles of parking and traffic. They just liked the other aspects of sprawl more.
They tried to duplicate these livable areas with shopping malls. But these are too sterile and corporate — but they are also climate controlled and safer and caused the downfall of many downtowns. Then big box stores, more accessible from the burbs, kept at that tack.
The robotaxi will allow people to get more of what they sought from the “livable city” while still in sprawl. It will also let them get more of what they sought from the suburbs, in terms of safety and options for their children. They may still build pleasant pedestrian malls in which one can walk and wander among interesting things, but people who live 5 miles away will be able to get to them in under 10 minutes. They will be delivered right into the pedestrian zone, not to a sprawling parking lot. They won’t have to worry about parking, and what they buy could be sent to their home by delivery robot — no need to even carry it while walking among shops. They will seek to enjoy the livable space from 5 miles away the same way that people today who live 4 blocks away enjoy those spaces.
But there’s also no question that there will continue to be private malls trying to meet this need. Indeed the private malls will probably offer free or validated robotaxi service to the mall, along with delivery, if robotaxi service is as cheap as I predict it can be. Will the public spaces, with their greater variety and character be able to compete? They will also have weather and homeless people and other aspects of street life that private malls try to push away.
The arrival of the robocar baby-sitter, which I plan to write about more, will also change urban family life. Stick the kid in the taxi and send him to the other parent, or a paid sitter service, all while some adult watches on the video and redirects the vehicle to one of a network of trusted adults if some contingency arises. Talk about sending a kid to a time-out!
Here’s a nice graphic showing traffic deaths around the world. Of course, all these numbers are going to drop over the next 10 years thanks to various collision avoidance and accident survival technologies in cars, and eventually, we hope, robocars.
I was recently approached by a programmer named Keith Curtis, formerly at Microsoft and now a FOSS devotee. He wants to develop a driving simulator for testing robocar systems. I think this is a very worthwhile idea — sort of a “Second Life” for robots. We have a head start — the world of racecar video games has already done a lot of the legwork to simulate driving, and there are two open source car racing systems.
A good simulator would bring some tremendous benefits to robocar development.
Anybody, even a solo hacker in their basement, could develop and test robocar software on the cheap, and with no cost and risk from crashes. Small teams, perhaps working in car-less garages, could contribute greatly to the field.
Testing could go faster, and include regular exposure to extreme situations not often found in the real world, like crazy drivers, strange hazards, map errors, sensor failures and more.
Simulator testing allows the creation of new sensors which are plausible, but too expensive or too far in the future to work with in the real world. It allows teams to say, “What if we had 1cm accurate GPS? What if we had 180 line LIDAR to 100m?” and see if they can build robocar controls to use it.
Robocar contests could be held in simulation, on the cheap and with no physical risk. The winners could then get funding to build real-world vehicles to race for a bigger prize.
The simulator APIs for car controls and sensors can become prototype APIs for real-world interfaces, allowing easy testing and switching.
Of course, robocar simulation is nothing new. Several teams in the DARPA challenges built simulators to try out ideas. These remained proprietary efforts. Road simulation is also frequently used for traffic simulators. An open simulator would be shared, and the community (and not just the robocar development community) could contribute terrain, streets, sensors and simulators for elements such as pedestrians, human driven cars, blowing trash and new sensors, to name just a few.
Our wonderful new fast GPUs will be able to generate camera views anywhere in the 3D world for those working on machine vision. Simulating LIDAR, radar, ultrasound, odometry, accelerometers etc. is not yet done in car racing games but these things should not be hard to add. Indeed, any company selling a sensor would be well advised to build a simulated version of it.
And people hacking at home love to make 3-D maps of terrain. Existing real terrain models could be imported, or new ones made by driving around with LIDAR on real streets.
To explore this more I have written a new article on how to build a robocar driving simulator where I also point to an up and coming open source simulator called “Rigs of Rods” which actually simulates the vehicles at the physics level, treating them as a network of many connected parts.
The robocar world needs somebody ready to fun the kick-starting of such a simulator, and possibly some contests within it.
Tomorrow, I will be speaking on pre-Robocar technology at BIL an unconference that parallels the famous and expensive TED conference. This is in Long Beach, CA. Unconferences are fun, cheap and often as good as expensive conferences. I will also be attending a reception at TED tonight for Singularity University, which I lecture at, so I may see you if you’re at TED as well.
Last night’s EFF bash was a great success. Thanks to Adam Savage and all the others who made it go so well.
This weekend is the Foresight Institute conference on molecular nanotechnology and AI. I am on the board of Foresight Institute and will be speaking on the latest developments in robocars at the conference, along with a raft of great speakers. If you are interested in futurist issues around AI, nanotech and other accelerating technologies, this is the longest running conference in the field and the place to be. The whole conference is just $175 and you can register for it here.
I will also be doing my general Robocar talk on Wednesday, February 24th at the “Homebrew Robotics Club” of Silicon Valley. This is a great group of people who hack robotics as a hobby, and it meets at the CMU building at NASA Ames Research Center. This event is free and open to the public.
Finally, in 2 weeks I will be attending the DLD 10 conference in Munich Germany, and may try to make my way into some parties at the World Economic Forum in Davos while doing a little Alpine road trip after DLD.
You may have seen it already but it’s amusing to watch this encoding of a 1958 Disney show on the highway of the future:
This highway features a mixture of human driven cars, robocars and PRT style robocars on private guideways. Much of it is typical of ancient predictions of the future, with an expectation of remarkably cheap and strong materials and portable atomic power, but some of it is on the mark (like urban sprawl.) The roles of mom and dad don’t change in 50 years. It is always humbling to go back into the past and see how futurists have got it wrong, and wonder where you are going wrong in your own predictions. (I’ve learned you should never predict dates for things because while you might have a sense about how long it would take to develop the technology, you can’t as easily predict how markets and governments will react.)
However, I will be prognosticating again next week, giving my Robocar talk in the Google “Tech Talk” series at Google HQ in Mountain View on Dec 14 at 11am. While not generally open to the public, I can bring in guests if they all come in at around 10:30am. Contact me if this is of interest. They will put the talk up on Google Video when done. Of course, if you are a Googler, I hope to see you there.
It’s amusing to note that many of the vision seen in the movie “Minority Report” are found in this Disney video from much earlier.
I struck a nerve several years ago when I blogged about the horrible beep-beep noise made by heavy equipment when it backs up. Eventually a British company came up with a solution: a pulsed burst of white noise which is very evident when you are near the backing up vehicle but which disperses quickly so it doesn’t travel and annoy people a mile away as the beeps do.
Now I am seeing more and more suggestions that electric cars, which run quite silently when slow, make some noise for safety. This is fine, but there are also suggestions that there will be music and vanity noises, like ringtones or “cartones.” I can certainly see why this would appeal to people. (Already many think that their car is the place to play mind-numbing bass to announce musical taste to all others on the street.) There are even proposed laws.
While the cartones would be quieter than the backup beep or the heavy bass, I really fear that people will overdo what they think is the purpose — being attention grabbing. They will want to distract, and that will create a cacophony on the roads. It’s hard to make sounds that are meant to be attention grabbing (or vanity oriented) not travel beyond the range that you need them for safety.
I don’t want to imagine what it might be like living as I do with a 3-way stop outside my window, with each car singing a different tune or strange noise every time it slows down and starts up again. Who will want to live near intersections or parking lots?
I have a few proposals:
Like the beep-beep solution, use white noise that just doesn’t travel very far, but is easily noticed when close.
Use natural sounds, like waves crashing, birds chirping, wind blowing. We are tuned to hear those sounds in an otherwise silent environment, but our brains also can easily ignore them in background form.
Do indeed tune the volume based on ambient noise. This is suggested in the O’Reilly article linked above. They propose it to be loud enough. It should also be quiet enough.
Don’t do it at a speed where the tires and wind and electric motors are making enough noise already.
As robocar sensors become more common, such as LIDAR and radar, only make the noise when there are people who might come in contact with the vehicle. Otherwise, be silent.
Since robocars will not hit people in any normal operation, even people who don’t know they are there, such vehicles need not make any noise. HOwever, if they see a human or anything else on a collision course, let them make a more loud and useful noise that really gets attention, like a burst of white or pink noise, or even a horn if they ignore that. Start quiet, get louder if it is not reacted to in a human reaction time.
Let’s not give up on this opportunity to return peace to our public spaces as electric cars and robocars become popular.