A review of physics simulators for robotic applications
The use of simulators in robotics research is widespread, underpinning the majority of recent
advances in the field. There are now more options available to researchers than ever before …
advances in the field. There are now more options available to researchers than ever before …
Accelerating surgical robotics research: A review of 10 years with the da vinci research kit
Robotic-assisted surgery is now well established in clinical practice and has become the
gold-standard clinical treatment option for several clinical indications. The field of robotic …
gold-standard clinical treatment option for several clinical indications. The field of robotic …
Concepts and trends in autonomy for robot-assisted surgery
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 …
daily. However, these are telerobots that are fully controlled by skilled human surgeons …
Surrol: An open-source reinforcement learning centered and dvrk compatible platform for surgical robot learning
Autonomous surgical execution relieves tedious routines and surgeon's fatigue. Recent
learning-based methods, especially reinforcement learning (RL) based methods, achieve …
learning-based methods, especially reinforcement learning (RL) based methods, achieve …
SofaGym: An open platform for reinforcement learning based on soft robot simulations
OpenAI Gym is one of the standard interfaces used to train Reinforcement Learning (RL)
Algorithms. The Simulation Open Framework Architecture (SOFA) is a physics-based engine …
Algorithms. The Simulation Open Framework Architecture (SOFA) is a physics-based engine …
Sim-to-real transfer for visual reinforcement learning of deformable object manipulation for robot-assisted surgery
Automation holds the potential to assist surgeons in robotic interventions, shifting their
mental work load from visuomotor control to high level decision making. Reinforcement …
mental work load from visuomotor control to high level decision making. Reinforcement …
Guided reinforcement learning with efficient exploration for task automation of surgical robot
Task automation of surgical robot has the potentials to improve surgical efficiency. Recent
reinforcement learning (RL) based approaches provide scalable solutions to surgical …
reinforcement learning (RL) based approaches provide scalable solutions to surgical …
Safe reinforcement learning using formal verification for tissue retraction in autonomous robotic-assisted surgery
Deep Reinforcement Learning (DRL) is a viable solution for automating repetitive surgical
subtasks due to its ability to learn complex behaviours in a dynamic environment. This task …
subtasks due to its ability to learn complex behaviours in a dynamic environment. This task …
Human-in-the-loop embodied intelligence with interactive simulation environment for surgical robot learning
Surgical robot automation has attracted increasing research interest over the past decade,
expecting its potential to benefit surgeons, nurses and patients. Recently, the learning …
expecting its potential to benefit surgeons, nurses and patients. Recently, the learning …
Open simulation environment for learning and practice of robot-assisted surgical suturing
Automation has the potential to improve the standard of care but is difficult to realize due to
perceptual challenges, especially in soft-tissue surgery. Machine learning can provide …
perceptual challenges, especially in soft-tissue surgery. Machine learning can provide …