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Real-Time Whole-Body Safe Motion Generation for Multi-Segment Tendon-Driven Continuum Robots

1 reports1 reporting sources2 days agoUpdated

Overview

Event synthesis

A new framework enables real-time safe motion generation for multi-segment tendon-driven robots using energy-based modeling and constraint satisfaction.

Generated from attributed reports · 2 days agoUpdated

Event evidence and corrections

0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.

Environment: simulation
Supporting report

“Over 100 MuJoCo trials, the proposed method achieves collision-free success rates of 96% and 100% in static and dynamic scenarios, respectively, compared with approximately 60% and 80% without CBF constraints.”

Exact source · revision 1

Source owner not reported

Control: reported autonomous
Supporting report

“Over 100 MuJoCo trials, the proposed method achieves collision-free success rates of 96% and 100% in static and dynamic scenarios, respectively, compared with approximately 60% and 80% without CBF constraints.”

Exact source · revision 1

Source owner not reported

Reported quantity · collision-free success rate: 96 percent · reported trials · static scenarios · Differing source assertions
Supporting report

“Over 100 MuJoCo trials, the proposed method achieves collision-free success rates of 96% and 100% in static and dynamic scenarios, respectively, compared with approximately 60% and 80% without CBF constraints.”

Exact source · revision 1

Source owner not reported

Reported quantity · collision-free success rate: 100 percent · reported trials · dynamic scenarios · Differing source assertions
Supporting report

“Over 100 MuJoCo trials, the proposed method achieves collision-free success rates of 96% and 100% in static and dynamic scenarios, respectively, compared with approximately 60% and 80% without CBF constraints.”

Exact source · revision 1

Source owner not reported

Reported quantity · collision-free success rate: 60 percent · reported trials · static scenarios · Differing source assertions
Supporting report

“Over 100 MuJoCo trials, the proposed method achieves collision-free success rates of 96% and 100% in static and dynamic scenarios, respectively, compared with approximately 60% and 80% without CBF constraints.”

Exact source · revision 1

Source owner not reported

Reported quantity · collision-free success rate: 80 percent · reported trials · dynamic scenarios · Differing source assertions
Supporting report

“Over 100 MuJoCo trials, the proposed method achieves collision-free success rates of 96% and 100% in static and dynamic scenarios, respectively, compared with approximately 60% and 80% without CBF constraints.”

Exact source · revision 1

Source owner not reported

Reported quantity · mean control-step time: 6.66 hours · unique elapsed hours · backbone monitoring points
Supporting report

“Over 100 MuJoCo trials, the proposed method achieves collision-free success rates of 96% and 100% in static and dynamic scenarios, respectively, compared with approximately 60% and 80% without CBF constraints.”

Exact source · revision 1

Source owner not reported

Report timeline

Follow attributed reports and material updates.

10/2
  1. arXiv Robotics — research abstracts
    Real-Time Whole-Body Safe Motion Generation for Multi-Segment Tendon-Driven Continuum Robots

    This research presents a unified actuation-space framework for planar multi-segment tendon-driven continuum robots, combining energy-based modeling with constraint satisfaction techniques to achieve real-time whole-body safe motion generation. The method achieves collision-free success rates of 96% and 100% in static and dynamic scenarios, respectively, compared to 60% and 80% without CBF constraints. The model closely matches GVS references with a maximum curvature error of $5.223 imes 10^{-2} ext{m}^{-1}$, and demonstrates real-time performance with a mean control-step time of 6.66 ms.

Event attention history

Current attention 3·Peak within the comparable range 9(2026-10-02 06:00 UTC)·Change within the comparable range over 24 hours -49%

02.557.5102026-10-0206:002026-10-0221:002026-10-0312:002026-10-0403:00

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