activity
20242026
collaborators

8 papers

cs.RO2026

HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers

Lizhi Yang, Junheng Li, Nehar Poddar +5

For a humanoid robot to be deployed in the real world, the choice of command space (i.e., the interface between task planning and whole-body control) is crucial. Existing whole-bod…

cs.RO2026

Embedding Classical Balance Control Principles in Reinforcement Learning for Humanoid Recovery

Nehar Poddar, Stephen McCrory, Luigi Penco +3

Humanoid robots remain vulnerable to falls and unrecoverable failure states, limiting their practical utility in unstructured environments. While reinforcement learning has demonst…

cs.RO2025

Stability-Aware Retargeting for Humanoid Multi-Contact Teleoperation

Stephen McCrory, Romeo Orsolino, Dhruv Thanki +2

Teleoperation is a powerful method to generate reference motions and enable humanoid robots to perform a broad range of tasks. However, teleoperation becomes challenging when using…

cs.RO2025

Anticipatory and Adaptive Footstep Streaming for Teleoperated Bipedal Robots

Luigi Penco, Beomyeong Park, Stefan Fasano +7

Achieving seamless synchronization between user and robot motion in teleoperation, particularly during high-speed tasks, remains a significant challenge. In this work, we propose a…

cs.RO2025

Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning

Zhaoyuan Gu, Junheng Li, Wenlan Shen +15

Humanoid robots hold great potential to perform various human-level skills, involving unified locomotion and manipulation in real-world settings. Driven by advances in machine lear…

cs.RO2025

Multi-Contact Inertial Parameters Estimation and Localization in Legged Robots

Sergi Martinez, Robert J. Griffin, Carlos Mastalli

Optimal estimation is a promising tool for estimation of payloads' inertial parameters and localization of robots in the presence of multiple contacts. To harness its advantages in…