Robots have a tendency to move rather a lot like, um, robots. How dare they. The smooth and natural motions that we humans are so proud of comes from a combination of many different motions all at once: if you pick something up, you're generally not just using your arm like a robot does, but rather, subtly moving your arms, wrists, hands, torso, and even your head. With a new movement algorithm, iCub is learning to move in a much more human-like manner, even with complex motions.
Yes, at least, iCub has learned how to put things on its head. Brilliant.
You may have noticed that the beginning of the video that it was the recipient of the AAAI 2013 Shakey Award for Best Student Video. What's a Shakey? Why, I'm glad you asked! Meet Shakey, who was pioneering task-planning and route-finding at the Stanford Research Institute back in the 1960s:
[ IM CLEVER ]
Evan Ackerman is the senior writer for IEEE Spectrum's award-winning robotics blog, Automaton. Since 2007, he has written over 6,000 articles on robotics and emerging technology, covering conferences and events on every single continent except Antarctica (although he remains optimistic). In addition to Spectrum, Evan's work has appeared in a variety of other online publications including Gizmodo and Slate, and you may have heard him on NPR's Science Friday or the BBC World Service if you were listening at just the right time. Evan has an undergraduate degree in Martian geology, which he almost never gets to use, and still wants to be an astronaut when he grows up. In his spare time, he enjoys scuba diving, rehabilitating injured raptors, and playing bagpipes excellently.