ResearchResearch paperRobotics & Embodied AI · Reinforcement Learning · Safety & Alignment1 source · Oct 17, 2026

Tension Tells the Tail: Cable-Obstacle Interaction Sensing for Tethered Mobile Robot Navigation

To assess the risk of individual cable-obstacle contacts, this study investigates cable tension as a sensing modality for estimating whether a contacted obstacle is movable or non-movable.

Key points

  • Tethered mobile robots can sustain long-duration operation through continuous power supply and stable communication via their cables.
  • However, cable-environment interaction causes unintended obstacle displacement, cable snagging or entanglement, and even cable damage, leading to mission failure.
  • We conducted experiments with a tethered mobile robot and collected tension data while varying robot velocity, contact angle between the obstacle and cable, obstacle mass, and obstacle side-surface material.
  • These results demonstrate the potential of cable tension for risk assessment of cable-obstacle interactions and provide a step toward online, cable-aware autonomous navigation.

Sources (1)

  • [1]Tension Tells the Tail: Cable-Obstacle Interaction Sensing for Tethered Mobile Robot Navigation
    arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 17, 04:38 AM
    To assess the risk of individual cable-obstacle contacts, this study investigates cable tension as a sensing modality for estimating whether a contacted obstacle is movable or non-movable.
    Tethered mobile robots can sustain long-duration operation through continuous power supply and stable communication via their cables.

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