#439836 Video Friday: Dusty at WorkVideo Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We'll also be posting a weekly calendar of upcoming robotics events for the next few months; here's what we have so far (send us your events!): ROSCon 2021 – October 20-21, 2021 – [Online Event]Silicon Valley Robot Block Party – October 23, 2021 – Oakland, CA, USALet us know if you have suggestions for next week, and enjoy today's videos. I love watching Dusty Robotics' field printer at work. I don't know whether it's intentional or not, but it's go so much personality somehow. [ Dusty Robotics ]
[ MIT ] CSIRO Data61 had, I'm pretty sure, the most massive robots in the entire SubT competition. And this is how you solve doors with a massive robot. [ CSIRO ] You know how robots are supposed to be doing things that are too dangerous for humans? I think sailing through a hurricane qualifies.. This second video, also captured by this poor Saildrone, is if anything even worse:
Soft Robotics can handle my taquitos anytime. [ Soft Robotics ] This is brilliant, if likely unaffordable for most people. [ Eric Paulos ] I do not understand this robot at all, nor can I tell whether it's friendly or potentially dangerous or both. [ Keunwook Kim ] This sort of thing really shouldn't have to exist for social home robots, but I'm glad it does, I guess? It costs $100, though. If you watch this video closely, you'll see that whenever a simulated ANYmal falls over, it vanishes from existence. This is a new technique for teaching robots to walk by threatening them with extinction if they fail. But seriously how do I get this as a screensaver? [ RSL ]
DARPA thoughtfully provides a video tour of the location of every artifact on the SubT Final prize course. Some of them are hidden extraordinarily well. Also posted by DARPA this week are full prize round run videos for every team; here are the top three: MARBLE, CSIRO Data61, and CERBERUS.
[ DARPA SubT ]
[ ICRA 2021 ] This week's UPenn GRASP Lab Seminar comes from Rahul Mangharam, on "What can we learn from Autonomous Racing?" [ UPenn ] |
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