Human Moves, Robotic Grooves: AI Mimics Human Motion in Stunning Detail
Channel: Hardware.ai
Date: 01/12/2023

Learn how to use Deep Reinforcement Learning (a method of Machine Learning which involves rewarding the agent for doing something correctly, and punishing it for doing anything incorrectly) and Adversarial Motion Priors (Motion Imitation from Observations) for training robots lifelike movement in a simulation, with Boston Dynamics Atlas. Similar techniques are applicable to other humanoid robots, like Agility’s DIGIT used in Amazon warehouse or Tesla's Optimus - or even non-humanoid robots, such as #disney Imagineering latest adorable biped robot, currently being tested at Galaxy's Edge.

While I do not have exact information on how Boston Dynamics Atlas works, it is a good educated guess :)

Github:
https://github.com/AIWintermuteAI/IsaacGymEnvs/tree/atlas_amp_wip
Will likely merge to main branch with time.

Motion capture files:
http://mocap.cs.cmu.edu/
https://sites.google.com/a/cgspeed.com/cgspeed/motion-capture/the-3dsmax-friendly-bvh-release-of-cmus-motion-capture-database

Robot descriptions:
https://github.com/robot-descriptions/awesome-robot-descriptions