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Surgical procedures require a high level of technical skill to ensure efficiency and patient safety. Due to the direct effect of surgeon skill on patient outcomes, the development of cost-effective and realistic training methods is…

Current robotic minimally invasive surgery (RMIS) platforms provide surgeons with no haptic feedback of the robot's physical interactions. This limitation forces surgeons to rely heavily on visual feedback and can make it challenging for…

Robotics · Computer Science 2023-04-04 Sergio Machaca , Eric Cao , Amy Chi , Gina Adrales , Katherine J Kuchenbecker , Jeremy D Brown

The lack of haptic feedback in Robot-assisted Minimally Invasive Surgery (RMIS) is a potential barrier to safe tissue handling during surgery. Bayesian modeling theory suggests that surgeons with experience in open or laparoscopic surgery…

Robotics · Computer Science 2022-07-08 Zonghe Chua , Anthony M. Jarc , Sherry Wren , Ilana Nisky , Allison M. Okamura

The current generation of surgeons requires extensive training in teleoperation to develop specific dexterous skills, which are independent of medical knowledge. Training curricula progress from manipulation tasks to simulated surgical…

Robotics · Computer Science 2019-07-23 Gustavo D. Gil , Julie M. Walker , Nabil Zemiti , Allison M. Okamura , Philippe Poignet

Teleoperated robot-assisted minimally-invasive surgery (RAMIS) offers many advantages over open surgery. However, there are still no guidelines for training skills in RAMIS. Motor learning theories have the potential to improve the design…

Robotics · Computer Science 2021-05-11 Yarden Sharon , Daniel Naftalovich , Lidor Bahar , Yael Refaely , Ilana Nisky

The provision of robotic assistance during motor training has proven to be effective in enhancing motor learning in some healthy trainee groups as well as patients. Personalizing such robotic assistance can help further improve motor…

Objective: Robot-assisted minimally invasive surgery (RMIS) has become the gold standard for a variety of surgical procedures, but the optimal method of training surgeons for RMIS is unknown. We hypothesized that real-time, rather than…

Robotics · Computer Science 2025-10-17 Mary Kate Gale , Kailana Baker-Matsuoka , Ilana Nisky , Allison Okamura

Surgical skill directly affects surgical procedure outcomes; thus, effective training is needed to ensure satisfactory results. Many objective assessment metrics have been developed and some are widely used in surgical training simulators.…

Robotics · Computer Science 2021-02-23 Marzieh Ershad , Robert Rege , Ann Majewicz Fey

Haptic guidance is a powerful technique to combine the strengths of humans and autonomous systems for teleoperation. The autonomous system can provide haptic cues to enable the operator to perform precise movements; the operator can…

Robotics · Computer Science 2020-08-13 Marco Ewerton , Oleg Arenz , Jan Peters

Robotic systems can enhance the amount and repeatability of physically guided motor training. Yet their real-world adoption is limited, partly due to non-intuitive trainer/therapist-trainee/patient interactions. To address this gap, we…

The integration of high-level assistance algorithms in surgical robotics training curricula may be beneficial in establishing a more comprehensive and robust skillset for aspiring surgeons, improving their clinical performance as a…

Robotics · Computer Science 2025-07-11 Alberto Rota , Ke Fan , Elena De Momi

In the field of robotics, robot teleoperation for remote or hazardous environments has become increasingly vital. A major challenge is the lag between command and action, negatively affecting operator awareness, performance, and mental…

Robotics · Computer Science 2023-10-16 Jing Du , William Vann , Tianyu Zhou , Yang Ye , Qi Zhu

The utilization of teleoperation is a crucial aspect of the construction industry, as it enables operators to control machines safely from a distance. However, remote operation of these machines at a joint level using individual joysticks…

Robotics · Computer Science 2023-06-26 Hyung Joo Lee , Sigrid Brell-Cokcan

People learn motor activities best when they are conscious of their errors and make a concerted effort to correct them. While haptic interfaces can facilitate motor training, existing interfaces are often bulky and do not always ensure…

Human-Computer Interaction · Computer Science 2021-07-14 Vivek Ramachandran , Fabian Schilling , Amy R Wu , Dario Floreano

Previous work has shown that the addition of haptic feedback to the hands can improve awareness of tool-tissue interactions and enhance performance of teleoperated tasks in robot-assisted minimally invasive surgery. However, hand-based…

Robotics · Computer Science 2025-07-11 Brian B. Vuong , Josie Davidson , Sangheui Cheon , Kyujin Cho , Allison M. Okamura

An adaptive guidance system suitable for the terminal phase trajectory of a hypersonic strike weapon is optimized using reinforcement meta learning. The guidance system maps observations directly to commanded bank angle, angle of attack,…

Systems and Control · Electrical Eng. & Systems 2021-10-19 Brian Gaudet , Roberto Furfaro

Humans directly completing tasks in dangerous or hazardous conditions is not always possible where these tasks are increasingly be performed remotely by teleoperated robots. However, teleoperation is difficult since the operator feels a…

Robotics · Computer Science 2025-04-07 Jeremy D. Webb , Michael Bowman , Songpo Li , Xiaoli Zhang

Haptic feedback can improve safety of teleoperated robots when situational awareness is limited or operators are inattentive. Standard potential field approaches increase haptic resistance as an obstacle is approached, which is desirable…

Robotics · Computer Science 2024-01-09 Ninghan Zhong , Kris Hauser

Robot-assisted minimally invasive surgeries offer many advantages but require complex motor tasks that take surgeons years to master. There is currently a lack of knowledge on how surgeons acquire these robotic surgical skills. Toward…

Robotics · Computer Science 2026-01-05 Hanna Kossowsky Lev , Yarden Sharon , Alex Geftler , Ilana Nisky

Learning from Demonstration (LfD) is a framework that allows lay users to easily program robots. However, the efficiency of robot learning and the robot's ability to generalize to task variations hinges upon the quality and quantity of the…

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