RMPflow: A Geometric Framework for Generation of Multitask Motion Policies
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2021.3053422
Abstract: Generating robot motion for multiple tasks in dynamic environments is challenging, requiring an algorithm to respond reactively while accounting for complex nonlinear relationships between tasks. In this article, we develop a novel policy synthesis algorithm,… read more here.
Keywords: robotics; generation; motion policies; framework ... See more keywords
Learning Advanced Locomotion for Quadrupedal Robots: A Distributed Multi-Agent Reinforcement Learning Framework with Riemannian Motion Policies
Sign Up to like & getrecommendations! Published in 2024 at "Robotics"
DOI: 10.3390/robotics13060086
Abstract: Recent advancements in quadrupedal robotics have explored the motor potential of these machines beyond simple walking, enabling highly dynamic skills such as jumping, backflips, and even bipedal locomotion. While reinforcement learning has demonstrated excellent performance… read more here.
Keywords: motion policies; locomotion; riemannian motion; reinforcement learning ... See more keywords