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New framework enables humanoid robots to control contact forces

Researchers have developed FLORE, a new framework designed to enable humanoid robots to perform tasks requiring precise control over both motion and contact forces. This system utilizes a force-reactive diffusion policy that takes in visual, proprioceptive, and measured wrench data to predict actions and per-hand force commands. A hybrid compliance whole-body controller then executes these commands, ensuring balance and accurate force tracking, which has shown an 80% success rate on contact-rich tasks in real-world robot trials. AI

IMPACT This framework could enable more sophisticated robotic manipulation in real-world scenarios, improving dexterity and task completion for humanoid robots.

RANK_REASON This is a research paper detailing a new framework for robotics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework enables humanoid robots to control contact forces

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This is a research paper detailing a new framework for robotics. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sihang Li, Xiaofeng Guo, Jinkun Cao, Charlie Cheng, Ruihan Yang, Chen Feng, Guanya Shi, Haozhi Qi ·

    Learning Force-Reactive Humanoid Loco-Manipulation

    arXiv:2610.35862v1 Announce Type: cross Abstract: Many everyday tasks require controlling contact force as well as motion. On a humanoid, this force must often be coordinated across both hands and the whole body, and cannot be specified by kinematic trajectories alone. Therefore,…