Robot Responds to Natural Language Instructions, Brings You Fancy Ice Cream
It's possible, even probable, that if you're reading this article on IEEE Spectrum, you either know how to program a robot or could figure it out if you really put your mind to it. But for the rest of us (indeed for most people), programming is not necessarily a skill that they have at their fingertips. And even if you're comfortable with writing code in general, writing code that gets a very complicated and expensive robot to do exactly what you want it to do is (to put it mildly) not easy.
The way robots are supposed to work (if we believe every science fictions show ever, which we do) is that they can listen to you yell at them, understand what you're on about, and then follow the instructions that they've been given just as well as a human can. "As well as a human can" means understanding abstract concepts and making inferences when necessary, which is something that robots, as a rule, are absolutely terrible at.
Robots like to have detailed instructions about everything: if you want a scoop of ice cream, they need to know what ice cream is, where it is, how to open it, what to scoop it out with, how to grip the scoop, how to perform the scooping action, how to verify that the scoop was successful, how to get the ice cream from the scoop into a—oh wait, we forgot about the bowl, the robot has to have all the bowl stuff figured out in advance.
And there's the problem: "get me a scoop of ice cream" is actually an incredibly complicated chain of actions that need to be executed in just the right way, and no human has the patience to spell it all out like a robot would want.
Cornell is trying to fix this problem by teaching robots to interpret natural language instructions, even casual ones, so that a PR2 can bring you some fancy ice cream.
Camera Drones That Follow You
I like drones. Drones are fun. But as with many robots, at some point you have to answer the question of, "Okay, that's cool, but what does it do?" We're not entirely convinced that drone delivery is going to be a thing, but one application that has actually managed to turn into a potentially viable product is the capability to follow someone around with a camera. In the space of about a week, three separate systems have shown up that promise to be able to act as autonomous aerial camerabots.
Perching Robot Glider Nails Simulated Powerline Landings
The biggest thing holding drones back right now (especially small, inexpensive drones) is arguably battery life. It's really bad. For a drone that can hover and carry any sort of payload, you're looking at 10, maybe 20 minutes tops. And even fixed-wing drones don't do all that much better. This is such an issue that CyPhy Works has developed drones that are continuously supplied with power through a tether, and there are other, slightly crazier (or less immediately practical, let's say) ideas about how to provide drones with power on the fly, like lasers or midair wireless power transfer.
One less crazy idea is to just have drones perch: that is, to spend as much time as possible not flying by finding somewhere near where they need to be that they can land and sit. And wouldn't it be great if drones could recharge themselves by perching on powerlines and harnessing the magnetic fields that they emit?
Why This Hitchhiking Robot Might Not Be Cute Enough to Make It Across Canada
We'd better hope that there will never be a time when robots will be able to do absolutely everything without any help from humans, because that's the time when our entire species is likely to become redundant. Until that time comes, the technique of human exploitation is a valuable skill for robots to learn, because it's a great way of being able to complete objectives with a minimum of hardware or software. hitchBOT is a robot that'll attempt to exploit the kindness of humans by using them to transport itself across Canada by simply asking people for a ride.
Humanoid ASRA C1 and V-Sido Robot Operating System Unveiled by SoftBank
Earlier this month, Japanese telecom giant SoftBank surprised everyone by unveiling an interactive personal robot called Pepper, which will go on sale in Japan next year. Now we're learning that's not the only robot SoftBank had in the works. One of its subsidiaries, Asratec, announced last week that they've built a prototype bipedal humanoid called the ASRA C1 and have also developed a new operating system for robots, V-Sido.
Robots Get Flexible and Torqued Up With Origami Wheels
Origami, the art of folding pieces of paper to create shapes, is an appealing concept for robotics because you can transform two dimensional materials into three dimensional structures that are inherently flexible, or, as a roboticist would say, "deformable." What's more, structures that fold and unfold enable all kinds of interesting functionality that would otherwise only be possible with systems that are much more complex.
The approach can be particularly useful in designing wheels for robots, and earlier this month at the IEEE International Conference on Robotics and Automation (ICRA) two research groups presented origami-inspired wheel systems that allow mobile robots to be nimbler and stronger.
Video Friday: World Cup Exoskeleton, Robot Cockroaches, and Chocolate Drone
We're back from ICRA in Hong Kong, just in time to return you to your regularly scheduled Video Fridays. Just because ICRA is done, though, doesn't mean that we're taking a break: in just a few weeks, this year's Robotics: Science and Systems Conference (RSS) will be held at UC Berkeley, and IROS 2014 is only a few months away, taking place in Chicago in September. As usual, there will be all sorts of other robot stuff going on in the near future, some of which we know about but is TOP SECRET, and some of which will be a surprise to everybody. And those surprises are usually the best. No surprises today, though: we're back to normal, and it's time for robot videos.
Finally: Automatic Sliding Doors Get Star Trek Intelligence
The automatic sliding doors that we're familiar with from Star Trek are way smarter than the automatic sliding doors that we're familiar with from real life. In Star Trek, doors seem to know when characters want to go through them, and they never open by accident when someone is just walking by. Also, they manage to never be in the way when a character is running towards them at full speed (you try this at the mall and see what happens). Is it really too much to expect for automatic doors to have this sort of intelligence? It's not like we're asking for a Transporter. Now robotics researchers have (finally) made it happen.
Parrot's Mini Quadrotor and Jumping Robot to Hit Stores in August
French robot makers are on a roll. Aldebaran Robotics unveiled last Thursday its new personal robot, Pepper, to go on sale next year. And yesterday another Paris-based company, Parrot, announced that its MiniDrone line of toy robots will hit U.S. stores in August.
Big and Little Legged Robots Team Up to Conquer Terrain
Humans, robots, and anything else with legs can have issues with navigating terrain that's rough, sticky, or slippery. Navigating dangerous terrain like this isn't necessarily a problem, as long as there's a little bit of advanced warning. Imagine the difference between walking out onto an icy sidewalk that you are expecting, as opposed to walking out onto an icy sidewalk that you're not expecting.
The tricky thing is that "expecting" bit: short of actually stepping on a surface, how do you know what to expect? A robot can try relying on sensors to identify and avoid slippery terrain, but researchers from UC Berkeley and ETH Zurich came up with another effective strategy, which they presented last week at the IEEE International Conference on Robotics and Automation (ICRA).
IEEE Spectrum's award-winning robotics blog, featuring news, articles, and videos on robots, humanoids, automation, artificial intelligence, and more.Contact us: firstname.lastname@example.org
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