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20232025
most citedRobotMover: Learning to Move Large Objects From Human Demonstrations

1 citations · 3 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025★ 1 cited

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…

cs.RO2023★ 1 cited

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…