Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

Robot-assisted microsurgery (RAMS) has many benefits compared to traditional
microsurgery. Microsurgical platforms with advanced control strategies, high-quality micro …

Task automation of surgical robot has the potentials to improve surgical efficiency. Recent
reinforcement learning (RL) based approaches provide scalable solutions to surgical …

Background Personalized medicine requires the integration and analysis of vast amounts of
patient data to realize individualized care. With Surgomics, we aim to facilitate personalized …

It is essential for the robot manipulator to adapt to unexpected events and dynamic
environments while executing the physical contact-rich tasks. Although a range of methods …

The growing need for high levels of autonomy in Autonomous Robotic Surgery Systems
(ARSS) calls for innovative approaches to reduce surgeons' cognitive load, optimize hospital …

Reinforcement learning is still struggling with solving long-horizon surgical robot tasks which
involve multiple steps over an extended duration of time due to the policy exploration …

We introduce a novel approach for learning a complex multi-stage needle pick-and-place
manipulation task for surgical applications using Reinforcement Learning without expert …

Agile maneuvers are essential for robot-enabled complex tasks such as surgical
procedures. Prior explorations on surgery autonomy are limited to feasibility study of …

We present a novel application of Learning from Demonstration to realize a fully
autonomous bi-manual surgical suturing task, including needle pick up, insertion, re …