most citedDreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2023★ 7 cited

DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning

I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung

Quadrupedal robots resemble the physical ability of legged animals to walk through unstructured terrains. However, designing a controller for quadrupedal robots poses a significant…

cs.RO2022

STEP: State Estimator for Legged Robots Using a Preintegrated foot Velocity Factor

Yeeun Kim, Byeongho Yu, Eungchang Mason Lee +3

We propose a novel state estimator for legged robots, STEP, achieved through a novel preintegrated foot velocity factor. In the preintegrated foot velocity factor, the usual non-sl…