Energy-Based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning-Reference-Cited by-同舟云学术

Energy-Based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning

Published:2022-10 Issue:4 Volume:7 Page:8807-8814
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Gan Lu¹^ORCID,Grizzle Jessy W.¹^ORCID,Eustice Ryan M.¹^ORCID,Ghaffari Maani¹^ORCID

Affiliation:

1. Robotics Institute, University of Michigan, Ann Arbor, MI, USA

Funder

Toyota Research Institute

MIT Biomimetic Robotics Lab

NAVER LABS

NSF

NVIDIA Corporation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/7083369/9831196/9813568-aam.pdf

Reference40 articles.

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4. Terrain classification and locomotion parameters adaptation for humanoid robots using force/torque sensing

5. Better-than-demonstrator imitation learning via automatically-ranked demonstrations;brown;Proc Conf Robot Learn,0

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