Robotic Tele-Operation for Upper Aerodigestive Tract Microsurgery: System Design and Validation
- URL: http://arxiv.org/abs/2601.06617v3
- Date: Tue, 20 Jan 2026 10:46:54 GMT
- Title: Robotic Tele-Operation for Upper Aerodigestive Tract Microsurgery: System Design and Validation
- Abstract summary: Upper aerodigestive tract (UADT) treatments frequently employ transoral laser microsurgery (TLM) for procedures such as the removal of tumors or polyps.<n>In TLM, a laser beam is used to cut target tissue, while forceps are employed to grasp, manipulate, and stabilize tissue within the UADT.<n>This paper proposes a novel robotic system for tissue manipulation in UADT procedures, based on a novel end-effector designed for forceps control.
- Score: 0.5872014229110214
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Upper aerodigestive tract (UADT) treatments frequently employ transoral laser microsurgery (TLM) for procedures such as the removal of tumors or polyps. In TLM, a laser beam is used to cut target tissue, while forceps are employed to grasp, manipulate, and stabilize tissue within the UADT. Although TLM systems may rely on different technologies and interfaces, forceps manipulation is still predominantly performed manually, introducing limitations in ergonomics, precision, and controllability. This paper proposes a novel robotic system for tissue manipulation in UADT procedures, based on a novel end-effector designed for forceps control. The system is integrated within a teleoperation framework that employs a robotic manipulator with a programmed remote center of motion (RCM), enabling precise and constrained instrument motion while improving surgeon ergonomics. The proposed approach is validated through two experimental studies and a dedicated usability evaluation, demonstrating its effectiveness and suitability for UADT surgical applications.
Related papers
- A Compact Top-Loading Robot for Endovascular Interventions: Design, Control and Evaluation [10.95060747006468]
Robot-assisted endovascular intervention can potentially reduce radiation exposure, improve surgeon ergonomics, enable telesurgery, and enhance procedural precision.<n>Existing systems often suffer from limited procedural coverage because constrained patient-side setups, restricted flexibility, and complex instrument exchange hinder clinical workflow integration.<n>This work presents a compact robotic system for endovascular interventions that enables continuous translational and rotational manipulation of standard endovascular instruments.
arXiv Detail & Related papers (2026-07-13T16:35:14Z) - A Rapid Instrument Exchange System for Humanoid Robots in Minimally Invasive Surgery [9.137620295313711]
This paper proposes an immersive teleoperated rapid instrument exchange system.<n>The system utilizes a low-latency mechanism based on single-axis compliant docking and environmental constraint release.
arXiv Detail & Related papers (2026-04-03T04:05:00Z) - An Open-Source Robotics Research Platform for Autonomous Laparoscopic Surgery [1.801618662867143]
We present an open-source, robot-agnostic Remote Center of Motion (RCM) controller based on a closed-form analytical velocity solver.<n>The controller operates in Cartesian space, enabling any industrial manipulator to function as a surgical robot.<n>We integrate the robot control into a full-stack ROS-based surgical robotics platform supporting teleoperation, demonstration recording, and deployment of learned policies.
arXiv Detail & Related papers (2026-03-09T15:26:27Z) - Learning Surgical Robotic Manipulation with 3D Spatial Priors [73.00031539525202]
We introduce the Spatial Surgical Transformer (SST), an end-to-end visuomotor policy that empowers surgical robots with 3D spatial awareness.<n>Based on Surgical3D, we finetune a powerful geometric transformer to extract robust 3D latent representations from stereo endoscopes images.<n>SST achieves state-of-the-art performance and strong spatial generalization on complex surgical tasks.
arXiv Detail & Related papers (2026-03-04T07:19:56Z) - Moving Beyond Compliance in Soft-Robotic Catheters Through Modularity for Precision Therapies [0.0]
Soft robotic instruments could navigate delicate, tortuous anatomy more safely than rigid tools.<n>Few sensing and therapeutic modules are compact, robust, and adaptable enough to measure, and respond to, subtle physiological cues during intraluminal procedures.<n>We present a 1.47 mm diameter modular soft robotic catheter that integrates sensing, actuation, and therapy while retaining the compliance needed for safe endoluminal navigation.
arXiv Detail & Related papers (2026-01-21T10:11:59Z) - Creating a Digital Twin of Spinal Surgery: A Proof of Concept [68.37190859183663]
Surgery digitalization is the process of creating a virtual replica of real-world surgery.
We present a proof of concept (PoC) for surgery digitalization that is applied to an ex-vivo spinal surgery.
We employ five RGB-D cameras for dynamic 3D reconstruction of the surgeon, a high-end camera for 3D reconstruction of the anatomy, an infrared stereo camera for surgical instrument tracking, and a laser scanner for 3D reconstruction of the operating room and data fusion.
arXiv Detail & Related papers (2024-03-25T13:09:40Z) - Neural LerPlane Representations for Fast 4D Reconstruction of Deformable
Tissues [52.886545681833596]
LerPlane is a novel method for fast and accurate reconstruction of surgical scenes under a single-viewpoint setting.
LerPlane treats surgical procedures as 4D volumes and factorizes them into explicit 2D planes of static and dynamic fields.
LerPlane shares static fields, significantly reducing the workload of dynamic tissue modeling.
arXiv Detail & Related papers (2023-05-31T14:38:35Z) - Collaborative Robotic Ultrasound Tissue Scanning for Surgical Resection
Guidance in Neurosurgery [1.372026330898297]
The aim of this paper is to introduce a robotic platform for autonomous iUS tissue scanning.
A key application of the proposed platform is the scanning of brain tissue to guide tumour resection.
arXiv Detail & Related papers (2023-01-19T17:05:07Z) - Robotic Navigation Autonomy for Subretinal Injection via Intelligent
Real-Time Virtual iOCT Volume Slicing [88.99939660183881]
We propose a framework for autonomous robotic navigation for subretinal injection.
Our method consists of an instrument pose estimation method, an online registration between the robotic and the i OCT system, and trajectory planning tailored for navigation to an injection target.
Our experiments on ex-vivo porcine eyes demonstrate the precision and repeatability of the method.
arXiv Detail & Related papers (2023-01-17T21:41:21Z) - A Novel Sample-efficient Deep Reinforcement Learning with Episodic
Policy Transfer for PID-Based Control in Cardiac Catheterization Robots [2.3939470784308914]
The model was validated for axial motion control of a robotic system designed for intravascular catheterization.
Performance comparison with conventional methods in average of 10 trials shows the agent tunes the gain better with error of 0.003 mm.
arXiv Detail & Related papers (2021-10-28T08:18:01Z) - Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle
Activity for Enhanced Myoelectric Control of Hand Prostheses [78.120734120667]
We introduce a novel method, based on a long short-term memory (LSTM) network, to continuously map forearm EMG activity onto hand kinematics.
Ours is the first reported work on the prediction of hand kinematics that uses this challenging dataset.
Our results suggest that the presented method is suitable for the generation of control signals for the independent and proportional actuation of the multiple DOFs of state-of-the-art hand prostheses.
arXiv Detail & Related papers (2021-04-29T00:11:32Z) - Mapping Surgeon's Hand/Finger Motion During Conventional Microsurgery to
Enhance Intuitive Surgical Robot Teleoperation [0.5635300481123077]
Current human-robot interfaces lack intuitive teleoperation and cannot mimic surgeon's hand/finger sensing and fine motion.
We report a pilot study showing an intuitive way of recording and mapping surgeon's gross hand motion and the fine synergic motion during cardiac micro-surgery.
arXiv Detail & Related papers (2021-02-21T11:21:30Z) - TeCNO: Surgical Phase Recognition with Multi-Stage Temporal
Convolutional Networks [43.95869213955351]
We propose a Multi-Stage Temporal Convolutional Network (MS-TCN) that performs hierarchical prediction refinement for surgical phase recognition.
Our method is thoroughly evaluated on two datasets of laparoscopic cholecystectomy videos with and without the use of additional surgical tool information.
arXiv Detail & Related papers (2020-03-24T10:12:30Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.