8 citations · 15 across the 4 of their papers we have counts for
4 papers
Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions
Jungnam Park, Moon Seok Park, Jehee Lee +1
We present a novel generative model, called Bidirectional GaitNet, that learns the relationship between human anatomy and its gait. The simulation model of human anatomy is a compr…
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…
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…
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…