2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.RO2022
Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning
Sunwoo Kim, Maks Sorokin, Jehee Lee +1
A motion-based control interface promises flexible robot operations in dangerous environments by combining user intuitions with the robot's motor capabilities. However, designing a…
cs.GR2020★ 2 cited
Understanding the Stability of Deep Control Policies for Biped Locomotion
Hwangpil Park, Ri Yu, Yoonsang Lee +2
Achieving stability and robustness is the primary goal of biped locomotion control. Recently, deep reinforce learning (DRL) has attracted great attention as a general methodology f…
cs.GR2020
Functionality-Driven Musculature Retargeting
Hoseok Ryu, Minseok Kim, Seunghwan Lee +3
We present a novel retargeting algorithm that transfers the musculature of a reference anatomical model to new bodies with different sizes, body proportions, muscle capability, and…