Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking-Reference-Cited by-同舟云学术

Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Robotics and Automation (ICRA)
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Author:

Duan Helei¹,Malik Ashish¹,Dao Jeremy¹,Saxena Aseem¹,Green Kevin¹,Siekmann Jonah¹,Fern Alan¹,Hurst Jonathan¹

Affiliation:

1. Oregon State University,Collaborative Robotics and Intelligent Systems Institute,Corvallis,Oregon,USA,97331

Funder

NSF

DARPA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812015.pdf?arnumber=9812015

Reference29 articles.

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2. ALL-STEPS: Curriculum-driven learning of stepping stone skills;xie;ACM SIGGRAPH/Eurographics Symposium on Computer Animation SCA 2020,0

3. Compliant leg behaviour explains basic dynamics of walking and running

4. The 3-D Spring–Mass Model Reveals a Time-Based Deadbeat Control for Highly Robust Running and Steering in Uncertain Environments

5. The 3D linear inverted pendulum mode: a simple modeling for a biped walking pattern generation

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