Results 131 to 140 of about 2,011,905 (264)

Off-clamp robot assisted partial nephrectomy with Hugo RAS system for T2 renal mass

Urology Video Journal
Partial nephrectomy is the gold standard for localized renal masses, offering oncological control while preserving renal function. The introduction of robotic platforms has extended the indications for partial nephrectomy to more complex cases ...
Francesco Tedesco, Francesco Prata, Angelo Civitella, Marco Fantozzi, Matteo Pira, Roberto Mario Scarpa, Rocco Papalia   +6 more
doaj   +1 more source

Robotic Off-Clamp Simple Enucleation Single-Layer Renorrhaphy Partial Nephrectomy (ROSS): Surgical Insights after an Initial Experience. [PDF]

J Clin Med, 2022
Bertolo R, Cipriani C, Vittori M, Campi R, Garisto J, Di Dio M, Annino F, Bove P.   +7 more
europepmc   +1 more source

Waveguide Photoactuators: Materials, Fabrication, and Applications

Advanced Robotics Research, EarlyView.
Waveguide photoactuators convert guided light into mechanical motion. Their tethered‐flexible design enables minimally invasive surgery and confined‐space robotics. This review aims to guide materials selection, device design, and system integration, accelerating the transition of waveguide photoactuators from laboratory prototypes to versatile ...
Minjie Xi, Hemin Pan, Yang Zong, Yongfeng Mei, Jizhai Cui   +4 more
wiley   +1 more source

Purely Off-Clamp Partial Nephrectomy: Robotic Approach Better than Open Using a Pentafecta Outcome with Propensity Score Matching. [PDF]

J Clin Med, 2022
Gandi C, Totaro A, Bientinesi R, Marino F, Pierconti F, Russo A, Racioppi M, Bassi P, Sacco E.   +8 more
europepmc   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Purely Off-Clamp Laparoscopic Partial Nephrectomy Stands the Test of Time: 15 Years Functional and Oncologic Outcomes from a Single Center Experience. [PDF]

Curr Oncol, 2023
Brassetti A, Anceschi U, Bove AM, Prata F, Costantini M, Ferriero M, Mastroianni R, Misuraca L, Tuderti G, Torregiani G, Covotta M, Gallucci M, Simone G.   +12 more
europepmc   +1 more source

Origami‐Inspired Structural Design for Aquatic‐Terrestrial Amphibious Robots

Advanced Robotics Research, EarlyView.
This work presents a lightweight amphibious origami robot actuated by a single shape memory alloy wire. A rigid foldable origami structure with displacement amplification enables efficient terrestrial crawling and aquatic swimming. The addition of fan‐shaped units allows controllable turning in both environments.
Weiqi Liu, Chunlong Wang, Xiaohang Sun, Hongwei Guo, Jiayao Ma, Yan Chen   +5 more
wiley   +1 more source

A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine

Advanced Robotics Research, EarlyView.
This work introduces a bio‐mimetic soft robotic fish driven by fiber‐reinforced dielectric elastomer actuators integrated as its body. By prestretching this active skin against a flexible spine, a negative stiffness system is created, enabling large‐amplitude bending.
Markus Koenigsdorff, Simon Holzer, Stefania Konstantinidi, Yoan Civet, Yves Perriard   +4 more
wiley   +1 more source

Indocyanine green guided off – Clamp robot assisted partial nephrectomy for endophytic masses

European Urology Open Science, 2020
R.S. Flammia, C. Gerolimetto, A. Tufano, F. Proietti, E. Bologna, G. Franco, M. Gallucci, C. Leonardo   +7 more
doaj   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source