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most citedA Modular Residual Learning Framework to Enhance Model-Based Approach for Robust Locomotion

4 citations · 4 across the 7 of their papers we have counts for

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cs.RO2024

A Learning Framework for Diverse Legged Robot Locomotion Using Barrier-Based Style Rewards

Gijeong Kim, Yong-Hoon Lee, Hae-Won Park

This work introduces a model-free reinforcement learning framework that enables various modes of motion (quadruped, tripod, or biped) and diverse tasks for legged robot locomotion.…