57 citations · 76 across the 4 of their papers we have counts for
5 papers
Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learning
Taehei Kim, Sung-Hee Lee
Legged robots need to be capable of walking on diverse terrain conditions. In this paper, we present a novel reinforcement learning framework for learning locomotion on non-rigid d…
A Full Body Avatar-Based Telepresence System for Dissimilar Spaces
Leonard Yoon, Dongseok Yang, Choongho Chung +1
We present a novel mixed reality (MR) telepresence system enabling a local user to interact with a remote user through full-body avatars in their own rooms. If the remote rooms hav…
LoBSTr: Real-time Lower-body Pose Prediction from Sparse Upper-body Tracking Signals
Dongseok Yang, Doyeon Kim, Sung-Hee Lee
With the popularization of game and VR/AR devices, there is a growing need for capturing human motion with a sparse set of tracking data. In this paper, we introduce a deep neural-…
Placement Retargeting of Virtual Avatars to Dissimilar Indoor Environments
Leonard Yoon, Dongseok Yang, Jaehyun Kim +2
Rapidly developing technologies are realizing a 3D telepresence, in which geographically separated users can interact with each other through their virtual avatars. In this paper,…
Constructing Human Motion Manifold with Sequential Networks
Deok-Kyeong Jang, Sung-Hee Lee
This paper presents a novel recurrent neural network-based method to construct a latent motion manifold that can represent a wide range of human motions in a long sequence. We intr…