A review on flexible robotic systems for minimally invasive surgery

OM Omisore, S Han, J Xiong, H Li, Z Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recently, flexible robotic systems are developed to enhance minimally invasive
interventions on internal organs located in confined areas of human body. These surgical …

Open-sourced reinforcement learning environments for surgical robotics

F Richter, RK Orosco, MC Yip - arXiv preprint arXiv:1903.02090, 2019 - arxiv.org
Reinforcement Learning (RL) is a machine learning framework for artificially intelligent
systems to solve a variety of complex problems. Recent years has seen a surge of …

From bench to bedside: The first live robotic surgery on the dVRK to enable remote telesurgery with motion scaling

F Richter, EK Funk, WS Park… - … on Medical Robotics …, 2021 - ieeexplore.ieee.org
Innovations from surgical robotic research rarely translates to live surgery due to the
significant difference between the lab and a live environment. Live environments require …

[HTML][HTML] Adapting neural-based models for position error compensation in robotic catheter systems

TO Akinyemi, OM Omisore, X Chen, W Duan, W Du… - Applied Sciences, 2022 - mdpi.com
Featured Application Robot-assisted surgery has simplified minimally invasive treatments by
providing surgeons with more enhanced skill, precision, and control of surgical instruments …

[HTML][HTML] Latency mitigation using applied HMMs for mixed reality-enhanced intuitive teleoperation in intelligent robotic welding

Y Su, L Lloyd, X Chen, JG Chase - The International Journal of Advanced …, 2023 - Springer
Latency mitigation is crucial to increasing operational success, ease of use, and product
quality in telemanipulation tasks when remotely guiding complex robotic systems. Hardware …

Network Latency in Teleoperation of Connected and Autonomous Vehicles: A Review of Trends, Challenges, and Mitigation Strategies

SB Kamtam, Q Lu, F Bouali, OCL Haas, S Birrell - Sensors, 2024 - mdpi.com
With remarkable advancements in the development of connected and autonomous vehicles
(CAVs), the integration of teleoperation has become crucial for improving safety and …

Development of Variable Scaling Teleoperation Framework for Improving Teleoperation Performance

H Lee, J Han, GH Yang - International Journal of Control, Automation and …, 2024 - Springer
Teleoperation systems have been used in various industrial field to extend abilities of
operator. However, different characteristics between master device and slave robot, and …

The impact of motion scaling and haptic guidance on operators' workload and performance in teleoperation

S Parsa, HA Maior, ARE Thumwood… - CHI Conference on …, 2022 - dl.acm.org
The use of human operator managed robotics, especially for safety critical work, includes a
shift from physically demanding to mentally challenging work, and new techniques for …

Adaptive Motion Scaling for Robot-Assisted Microsurgery Based on Hybrid Offline Reinforcement Learning and Damping Control

P Jiang, W Li, Y Li, D Zhang - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Motion scaling is essential to empower users to conduct precise manipulation during
teleoperation for robot-assisted microsurgery (RAMS). A constant, small motion scaling ratio …

Auto-Tuned Motion Scaling in Teleoperation Based on Human Reaction Model Identification

SK Hsia, YH Chuang, CW Chen - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Motion scaling is an essential technique in robotic surgical systems adopting the leader-
follower configuration. By properly reducing the scaling factor, the surgeon can magnify the …