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Related papers: An Open-Source 7-Axis, Robotic Platform to Enable …

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Robotic laser systems offer the potential for sub-millimeter, non-contact, high-precision tissue resection, yet existing platforms lack volumetric planning and intraoperative feedback. We present RATS (Robot-Assisted Tissue Surgery), an…

MRI-targeted biopsy has shown significant advantages over conventional random sextant biopsy, detecting more clinically significant cancers and improving risk stratification. However, needle targeting accuracy, especially in transperineal…

Robotics · Computer Science 2024-09-17 Zhanyue Zhao , Yiwei Jiang , Charles Bales , Yang Wang , Gregory Fischer

Autonomous surgical robots have demonstrated significant potential to standardize surgical outcomes, driving innovations that enhance safety and consistency regardless of individual surgeon experience. Deep anterior lamellar keratoplasty…

Robotics · Computer Science 2024-10-21 Y. Wang , J. D. Opfermann , J. Yu , H. Yi , J. Kaluna , R. Biswas , R. Zuo , W. Gensheimer , A. Krieger , J. U. Kang

Autonomous robotic surgery has the potential to provide efficacy, safety, and consistency independent of individual surgeons skill and experience. Autonomous soft-tissue surgery in unstructured and deformable environments is especially…

Robotics · Computer Science 2021-07-06 H. Saeidi , J. D. Opfermann , M. Kam , S. Wei , S. Leonard , M. H. Hsieh , J. U. Kang , A. Krieger

Autonomous robotic systems hold potential for improving renal tumor resection accuracy and patient outcomes. We present a fluorescence-guided robotic system capable of planning and executing incision paths around exophytic renal tumors with…

Organ segmentation is a prerequisite for a computer-aided diagnosis (CAD) system to detect pathologies and perform quantitative analysis. For anatomically high-variability abdominal organs such as the pancreas, previous segmentation works…

Computer Vision and Pattern Recognition · Computer Science 2014-08-01 Amal Farag , Le Lu , Evrim Turkbey , Jiamin Liu , Ronald M. Summers

Many robotic tasks are still teleoperated since automating them is very time consuming and expensive. Robot Learning from Demonstrations (RLfD) can reduce programming time and cost. However, conventional RLfD approaches are not directly…

Robotics · Computer Science 2020-12-07 Hamidreza Hashempour , Kiyanoush Nazari , Fangxun Zhong , Amir Ghalamzan E.

Research on autonomous surgery has largely focused on simple task automation in controlled environments. However, real-world surgical applications demand dexterous manipulation over extended durations and generalization to the inherent…

This paper addresses the scarcity of affordable, fully-actuated five-fingered hands for dexterous teleoperation, which is crucial for collecting large-scale real-robot data within the "Learning from Demonstrations" paradigm. We introduce…

Robotics · Computer Science 2025-10-22 Zhaoliang Wan , Zida Zhou , Zetong Bi , Zehui Yang , Hao Ding , Hui Cheng

Robotic surgery promises enhanced precision and adaptability over traditional surgical methods. It also offers the possibility of automating surgical interventions, resulting in reduced stress on the surgeon, better surgical outcomes, and…

Robotics · Computer Science 2024-08-22 Ki-Hwan Oh , Leonardo Borgioli , Miloš Žefran , Liaohai Chen , Pier Cristoforo Giulianotti

Robotic surgery offers enhanced precision and adaptability, paving the way for automation in surgical interventions. Cholecystectomy, the gallbladder removal, is particularly well-suited for automation due to its standardized procedural…

Objective: Probe-based confocal endomicroscopy is an emerging high-magnification optical imaging technique that provides in vivo and in situ cellular-level imaging for real-time assessment of tissue pathology. Endomicroscopy could…

Agile maneuvers are essential for robot-enabled complex tasks such as surgical procedures. Prior explorations on surgery autonomy are limited to feasibility study of completing a single task without systematically addressing generic…

Robotics · Computer Science 2023-05-17 Fangxun Zhong , Yun-Hui Liu

The CyberKnife system is a robotic radiosurgery platform that allows the delivery of lung SBRT treatments using fiducial-free soft-tissue tracking. However, not all lung cancer patients are eligible for lung tumor tracking. Tumor size,…

Medical Physics · Physics 2023-08-24 Matthieu Lafrenière , Gilmer Valdes , Martina Descovich

Recent advances in telecommunications have enabled surgeons to operate remotely on patients with the use of robotics. The investigation and testing of remote surgery using a robotic arm is presented. The robotic arm is designed to have four…

Robotics · Computer Science 2013-07-23 Steven Dinger , John Dickens , Adam Pantanowitz

Ophthalmic microsurgery is known to be a challenging operation, which requires very precise and dexterous manipulation. Image guided robot-assisted surgery (RAS) is a promising solution that brings significant improvements in outcomes and…

Percutaneous needle insertions are commonly performed for diagnostic and therapeutic purposes as an effective alternative to more invasive surgical procedures. However, the outcome of needle-based approaches relies heavily on the accuracy…

Robotics · Computer Science 2023-12-01 Yanzhou Wang , Lidia Al-Zogbi , Guanyun Liu , Jiawei Liu , Junichi Tokuda , Axel Krieger , Iulian Iordachita

Replicating human--level dexterity remains a fundamental robotics challenge, requiring integrated solutions from mechatronic design to the control of high degree--of--freedom (DoF) robotic hands. While imitation learning shows promise in…

Minimally invasive surgery (MIS) reduces patient trauma and shortens recovery time; however, conventional laparoscopic instruments remain constrained by limited range of movements. This work presents the control architecture of a 4-DOF…

The aim of this paper is to introduce a robotic platform for autonomous iUS tissue scanning to optimise intraoperative diagnosis and improve surgical resection during robot-assisted operations. To guide anatomy specific robotic scanning and…