Robohub.org
DARPA LS3 robot mule learns to follow | IEEE Spectrum
We heard back in September that the LS3 quadruped robot had gotten some nifty upgrades and was undergoing field trials with the military, and we’ve just gotten an update about how that’s all been going. Short answer: quite well, but for a longer answer, we talked to DARPA.
See on spectrum.ieee.org
Ioannis K. Erripis
joined the ROBOTS association in early 2011 as a news reporter and now leads all technical aspects of the Robohub project, including website design, implementation and branding.
Ioannis K. Erripis
joined the ROBOTS association in early 2011 as a news reporter and now leads all technical aspects of the Robohub project, including website design, implementation and branding.
Related posts :
New imaging method makes tiny robots visible in the body
Microrobots have the potential to revolutionize medicine. Researchers at the Max Planck ETH Centre for Learning Systems have now developed an imaging technique that for the first time recognises cell-sized microrobots individually and at high resolution in a living organism.
20 May 2022, by
ETH Zurich
A draft open standard for an Ethical Black Box
Within the RoboTIPS project, we have developed and tested several model of Ethical Black Boxes, including one for an e-puck robot, and another for the MIRO robot.
19 May 2022, by
Alan Winfield
Unable to attend #ICRA2022 for accessibility issues? Or just curious to see robots?
There are many things that can make it difficult to attend an in person conference in the United States and so the ICRA Organizing Committee, the IEEE Robotics and Automation Society and OhmniLabs would like to help you attend ICRA virtually.
17 May 2022, by
Silicon Valley Robotics
ep.
350
podcast
Duckietown Competition Spotlight, with Dr Liam Paull
Dr. Liam Paull, cofounder of the Duckietown competition talks about the only robotics competition where Rubber Duckies are the passengers on an autonomous driving track.
17 May 2022, by
Abate De Mey
Designing societally beneficial Reinforcement Learning (RL) systems
In this post, we aim to illustrate the different modalities harms can take when augmented with the temporal axis of RL. To combat these novel societal risks, we also propose a new kind of documentation for dynamic Machine Learning systems which aims to assess and monitor these risks both before and after deployment.
15 May 2022, by
BAIR Blog
Innovative ‘smart socks’ could help millions living with dementia
‘Smart socks’ that track rising distress in the wearer could improve the wellbeing of millions of people with dementia, non-verbal autism and other conditions that affect communication.
13 May 2022, by
University of Bristol