Concepts and trends in autonomy for robot-assisted surgery

P Fiorini, KY Goldberg, Y Liu… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Surgical robots have been widely adopted with over 4000 robots being used in practice
daily. However, these are telerobots that are fully controlled by skilled human surgeons …

Automatic gesture recognition in robot-assisted surgery with reinforcement learning and tree search

X Gao, Y Jin, Q Dou, PA Heng - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Automatic surgical gesture recognition is fundamental for improving intelligence in robot-
assisted surgery, such as conducting complicated tasks of surgery surveillance and skill …

[PDF][PDF] The Raven open surgical robotic platforms: A review and prospect

Y Li, B Hannaford, J Rosen - Acta Polytechnica Hungarica, 2019 - acta.uni-obuda.hu
The Raven I and the Raven II surgical robots, as open research platforms, have been
serving the robotic surgery research community for ten years. The paper 1) briefly presents …

A first evaluation of a multi-modal learning system to control surgical assistant robots via action segmentation

G De Rossi, M Minelli, S Roin, F Falezza… - … on Medical Robotics …, 2021 - ieeexplore.ieee.org
The next stage for robotics development is to introduce autonomy and cooperation with
human agents in tasks that require high levels of precision and/or that exert considerable …

Dynamic motion planning for autonomous assistive surgical robots

A Sozzi, M Bonfè, S Farsoni, G De Rossi, R Muradore - Electronics, 2019 - mdpi.com
The paper addresses the problem of the generation of collision-free trajectories for a robotic
manipulator, operating in a scenario in which obstacles may be moving at non-negligible …

Robotic System for Blood Serum Aliquoting Based on a Neural Network Model of Machine Vision

S Khalapyan, L Rybak, V Nebolsin, D Malyshev… - Machines, 2023 - mdpi.com
The quality of the diagnostic information obtained in the course of laboratory studies
depends on the accuracy of compliance with the regulations for the necessary work. The …

Generalization of deep learning gesture classification in robotic-assisted surgical data: From dry lab to clinical-like data

D Itzkovich, Y Sharon, A Jarc… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Objective: Robotic-assisted minimally invasive surgery (RAMIS) became a common practice
in modern medicine and is widely studied. Surgical procedures require prolonged and …

A multirobots teleoperated platform for artificial intelligence training data collection in minimally invasive surgery

F Setti, E Oleari, A Leporini… - … on Medical Robotics …, 2019 - ieeexplore.ieee.org
Dexterity and perception capabilities of surgical robots may soon be improved by cognitive
functions that can support surgeons in decision making and performance monitoring, and …

Surgical gesture recognition based on bidirectional multi-layer independently RNN with explainable spatial feature extraction

D Zhang, R Wang, B Lo - 2021 IEEE International Conference …, 2021 - ieeexplore.ieee.org
Minimally invasive surgery mainly consists of a series of sub-tasks, which can be
decomposed into basic gestures or contexts. As a prerequisite of autonomic operation …

Using augmentation to improve the robustness to rotation of deep learning segmentation in robotic-assisted surgical data

D Itzkovich, Y Sharon, A Jarc… - … on Robotics and …, 2019 - ieeexplore.ieee.org
Robotic-Assisted Minimally Invasive Surgery allows for easy recording of kinematic data,
and presents excellent opportunities for data-intensive approaches to assessment of …