Communication Dans Un Congrès Année : 2025

Safe Bimanual Teleoperation with Language-Guided Collision Avoidance

Résumé

Teleoperating precise bimanual manipulations in cluttered environments is challenging for operators, who often struggle with limited spatial perception and difficulty estimating distances between target objects, the robot's body, obstacles, and the surrounding environment. To address these challenges, local robot perception and control should assist the operator during teleoperation. In this work, we introduce a safe teleoperation system that enhances operator control by preventing collisions in cluttered environments through the combination of immersive VR control and voice-activated collision avoidance. Using HTC Vive controllers, operators directly control a bimanual mobile manipulator, while spoken commands such as "avoid the yellow tool" trigger visual grounding and segmentation to build 3D obstacle meshes. These meshes are integrated into a whole-body controller to actively prevent collisions during teleoperation. Experiments in static, cluttered scenes demonstrate that our system significantly improves operational safety without compromising task efficiency.

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Dates et versions

hal-05123517 , version 1 (30-06-2025)

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Identifiants

  • HAL Id : hal-05123517 , version 1

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Dionis Totsila, Clemente Donoso, Enrico Mingo Hoffman, Jean-Baptiste Mouret, Serena Ivaldi. Safe Bimanual Teleoperation with Language-Guided Collision Avoidance. 2025 IEEE Conference on Telepresence, Sep 2025, Leiden (Netherlands), Netherlands. ⟨hal-05123517⟩
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