Energy-based legged robots terrain traversability modeling via deep inverse reinforcement learning
This work reports ondeveloping a deep inverse reinforcement learning method for legged
robots terrain traversability modeling that incorporates both exteroceptive and proprioceptive …
robots terrain traversability modeling that incorporates both exteroceptive and proprioceptive …
Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning
L Gan, JW Grizzle, RM Eustice, M Ghaffari - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
This work reports on developing a deep inverse reinforcement learning method for legged
robots terrain traversability modeling that incorporates both exteroceptive and proprioceptive …
robots terrain traversability modeling that incorporates both exteroceptive and proprioceptive …
[引用][C] Energy-Based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning
L Gan, JW Grizzle, RM Eustice, M Ghaffari - IEEE Robotics and …, 2022 - par.nsf.gov
Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning
L Gan, JW Grizzle, RM Eustice, M Ghaffari - arXiv preprint arXiv …, 2022 - arxiv.org
This work reports on developing a deep inverse reinforcement learning method for legged
robots terrain traversability modeling that incorporates both exteroceptive and proprioceptive …
robots terrain traversability modeling that incorporates both exteroceptive and proprioceptive …