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 language | English |
|---|---|
| Title of host publication | CIS-RAM 2026 - 2026 IEEE International Conference on Cybernetics and Intelligent Systems IEEE International Conference on Robotics, Automation and Mechatronics |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 424-429 |
| Number of pages | 6 |
| Edition | 2026 |
| ISBN (Electronic) | 9798319521880 |
| DOIs | |
| Publication status | Published - 2026 |
| Externally published | Yes |
| Event | 12th 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
| Conference | 12th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2026 and the 12th IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2026 |
|---|---|
| Country/Territory | China |
| City | Changchun |
| Period | 5/08/26 → 8/08/26 |
Keywords
- Markov processes
- Medical robotics
- Shared control
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