1 citations · 3 across the 7 of their papers we have counts for
8 papers
Switch-JustDance: Benchmarking Whole Body Motion Tracking Controllers Using a Commercial Console Game
Jeonghwan Kim, Wontaek Kim, Yidan Lu +9
Recent advances in whole-body robot control have enabled humanoid and legged robots to perform increasingly agile and coordinated motions. However, standardized benchmarks for eval…
MoReFlow: Motion Retargeting Learning through Unsupervised Flow Matching
Wontaek Kim, Tianyu Li, Sehoon Ha
Motion retargeting holds a premise of offering a larger set of motion data for characters and robots with different morphologies. Many prior works have approached this problem via…
Switch4EAI: Leveraging Console Game Platform for Benchmarking Robotic Athletics
Tianyu Li, Jeonghwan Kim, Wontaek Kim +3
Recent advances in whole-body robot control have enabled humanoid and legged robots to execute increasingly agile and coordinated movements. However, standardized benchmarks for ev…
Learning Physical Interaction Skills from Human Demonstrations
Tianyu Li, Hengbo Ma, Sehoon Ha +1
Learning physical interaction skills, such as dancing, handshaking, or sparring, remains a fundamental challenge for agents operating in human environments, particularly when the a…
RobotMover: Learning to Move Large Objects From Human Demonstrations
Tianyu Li, Joanne Truong, Jimmy Yang +4
Moving large objects, such as furniture or appliances, is a critical capability for robots operating in human environments. This task presents unique challenges, including whole-bo…
Language Guided Skill Discovery
Seungeun Rho, Laura Smith, Tianyu Li +3
Skill discovery methods enable agents to learn diverse emergent behaviors without explicit rewards. To make learned skills useful for unknown downstream tasks, obtaining a semantic…
AAMDM: Accelerated Auto-regressive Motion Diffusion Model
Tianyu Li, Calvin Qiao, Guanqiao Ren +2
Interactive motion synthesis is essential in creating immersive experiences in entertainment applications, such as video games and virtual reality. However, generating animations t…
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning
Tianyu Li, Hyunyoung Jung, Matthew Gombolay +2
Human motion driven control (HMDC) is an effective approach for generating natural and compelling robot motions while preserving high-level semantics. However, establishing the cor…