RealAIGym: Education and Research Platform for Studying Athletic Intelligence

Abstract:
Traditional robots today (such as the ones used in factories) have a fixed base and are fully actuated under their operating conditions.
However, modern robots inspired by animals are not bound to one place and are always under-actuated. Like animals, these robots can perform dynamic movements, demonstrate compliance, and are robust to contact during their movements. The interest in dynamic robot behaviors has increased significantly due to the impressive athletic behaviors shown by robots developed by Boston Dynamics, MIT Mini Cheetah, Agility Robotics etc. This gives rise to the need for canonical robotic hardware setups for studying underactuation and comparing learning and control algorithms for their performance and robustness. These hardware setups and the accompanying software should be affordable, open and accessible.
Similar to OpenAIGym and Stable Baselines which provide simulated benchmarking environments and baselines for Reinforcement Learning (RL) algorithms, the concept of RealAIGym is introduced with a set of reproducible robotic hardware platforms, for establishing a baseline for the application of dynamic control algorithms on real hardware.

Website: https://dfki-ric-underactuated-lab.github.io/real-ai-gym/

project:
underactuated-lab: https://robotik.dfki-bremen.de/en/research/research-facilities-labs/underactuated-lab

Видео RealAIGym: Education and Research Platform for Studying Athletic Intelligence канала German Research Center for Artificial Intelligence