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Autonomous Laparoscope Control through Unified Mechanics-Based Representation of Multimodal Intraoperative Information

Summary

Researchers propose a control method for laparoscope-holding robots that unifies multimodal intraoperative signals (position, force/torque, images) into an equivalent-wrench representation. Using a task-priority scheme, the method achieves compliant manipulation and autonomous instrument tracking while maintaining RCM constraints. Experiments on surgical phantoms and in vivo porcine trials demonstrate effectiveness.

SourcearXiv RoboticsAuthor: Xiaojian Li, Jin Fang, Yudong Shi, Xilin Xiao, Kai Yan, Kang Min, Ling Li, Hua Tang, Hangjie Mo
Autonomous Laparoscope Control through Unified Mechanics-Based Representation of Multimodal Intraoperative Information
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[2605.04408] Autonomous Laparoscope Control through Unified Mechanics-Based Representation of Multimodal Intraoperative Information

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Computer Science > Robotics

arXiv:2605.04408 (cs)

[Submitted on 6 May 2026]

Title:Autonomous Laparoscope Control through Unified Mechanics-Based Representation of Multimodal Intraoperative Information

Authors:Xiaojian Li, Jin Fang, Yudong Shi, Xilin Xiao, Kai Yan, Kang Min, Ling Li, Hua Tang, Hangjie Mo

View a PDF of the paper titled Autonomous Laparoscope Control through Unified Mechanics-Based Representation of Multimodal Intraoperative Information, by Xiaojian Li and 8 other authors

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Abstract:Laparoscope-holding robots can provide surgeons with a stable laparoscopic field of view (FOV) and reduce the burden on human assistants. To maintain an ideal intraoperative FOV, the robot must continuously adjust the laparoscope pose according to intraoperative information. However, intraoperative multimodal signals, such as position, force/torque, and images, differ markedly in physical meaning and units, making it difficult to build a unified representation and to generate control commands that can be used directly for laparoscope control. To address this issue, we propose a laparoscope-holding robot control method based on unified mechanics modeling of multimodal information. First, we design mapping strategies for multiple intraoperative sources, including position, force/torque, and images, and unify them into an equivalent-wrench representation in the operational space. Then, using a task-priority scheme, we inject the wrenches into the task space and the null space, respectively, and synthesize laparoscope control commands via task-priority projection, thereby achieving consistent representation and coordinated fusion of multimodal information within a single framework. Finally, taking the intraoperative remote center of motion (RCM) position, force/torque sensor readings, and laparoscopic images as examples, we construct an RCM-constraint wrench to enforce the RCM geometric constraint and reduce the contact force at the trocar site, a laparoscope-manipulation wrench to enable compliant dragging, and an instrument-tracking wrench to achieve autonomous visual tracking of the instruments. Experiments on a surgical phantom and in vivo porcine trials demonstrate that the proposed method supports multi-task operation, including compliant laparoscope manipulation and autonomous instrument tracking, while maintaining the RCM constraint and reducing sustained trocar-site loading.

Subjects:

Robotics (cs.RO)

Cite as: arXiv:2605.04408 [cs.RO]

(or arXiv:2605.04408v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2605.04408

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arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Jin Fang [view email] [v1] Wed, 6 May 2026 02:01:41 UTC (1,438 KB)

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Key points

  • Unified mechanics-based representation converts position, force/torque, and image data into equivalent wrenches for robot control.
  • Task-priority projection coordinates multiple control objectives including RCM constraint, compliant dragging, and instrument tracking.
  • Validated on surgical phantoms and in vivo porcine trials, showing reduced trocar-site loading and multi-task capability.

Highlights and analysis are generated automatically and may contain errors. Check the original source.