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Markov Intent-Driven Shared Control for Teleoperated Needle Puncture

  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a probabilistic shared-control framework for teleoperated robotic needle puncture to mitigate tracking latency and the 'pop-through' effect. The system integrates a Force Dimension Omega. 6 master device with an EtherCAT-driven dual-axis slave mechanism and a Kunwei KWR36 6-DOF force sensor. A 7-state Markov transition model, utilizing fuzzy logic fusion of real-time probability metrics, dynamically adjusts four control weights to provide adaptive force protection and autonomous needle rotation. Experimental results in synthetic tissue phantoms demonstrate a 20% reduction in peak puncture force and significantly enhanced position tracking compared to pure bilateral teleoperation. The framework ensures statistically secure control handovers based on verified human intent.

Original languageEnglish
Title of host publicationCIS-RAM 2026 - 2026 IEEE International Conference on Cybernetics and Intelligent Systems IEEE International Conference on Robotics, Automation and Mechatronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages424-429
Number of pages6
Edition2026
ISBN (Electronic)9798319521880
DOIs
Publication statusPublished - 2026
Externally publishedYes
Event12th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2026 and the 12th IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2026 - Changchun, China
Duration: 5 Aug 2026 → 8 Aug 2026

Conference

Conference12th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2026 and the 12th IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2026
Country/TerritoryChina
CityChangchun
Period5/08/26 → 8/08/26

Keywords

  • Markov processes
  • Medical robotics
  • Shared control

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