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20242026
most citedLearning More With Less: Sample Efficient Model-Based RL for Loco-Manipulation

1 citations · 2 across the 10 of their papers we have counts for

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cs.RO2025

Whole-Body Inverse Dynamics MPC for Legged Loco-Manipulation

Lukas Molnar, Jin Cheng, Gabriele Fadini +3

Loco-manipulation demands coordinated whole-body motion to manipulate objects effectively while maintaining locomotion stability, presenting significant challenges for both plannin…

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

TARC: Time-Adaptive Robotic Control

Arnav Sukhija, Lenart Treven, Jin Cheng +3

Most robotic systems rely on fixed-frequency discrete-time controllers, creating a trade-off between the efficiency of low-frequency control and the responsiveness of high-frequenc…

cs.RO2025

Walk Like Dogs: Learning Steerable Imitation Controllers for Legged Robots from Unlabeled Motion Data

Dongho Kang, Jin Cheng, Fatemeh Zargarbashi +3

We present an imitation learning framework that extracts distinctive legged locomotion behaviors and transitions between them from unlabeled real-world motion data. By automaticall…

cs.RO2025

RAMBO: RL-Augmented Model-Based Whole-Body Control for Loco-Manipulation

Jin Cheng, Dongho Kang, Gabriele Fadini +2

Loco-manipulation, physical interaction of various objects that is concurrently coordinated with locomotion, remains a major challenge for legged robots due to the need for both pr…

cs.RO2025

CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulation

Yuanchen Yuan, Jin Cheng, Núria Armengol Urpí +1

Enabling legged robots to perform non-prehensile loco-manipulation is crucial for enhancing their versatility. Learning behaviors such as whole-body object pushing often requires s…

cs.RO2025★ 1 cited

Learning More With Less: Sample Efficient Model-Based RL for Loco-Manipulation

Benjamin Hoffman, Jin Cheng, Chenhao Li +1

By combining the agility of legged locomotion with the capabilities of manipulation, loco-manipulation platforms have the potential to perform complex tasks in real-world applicati…