From teleoperation to autonomous robot-assisted microsurgery: A survey

D Zhang, W Si, W Fan, Y Guan, C Yang - Machine Intelligence Research, 2022 - Springer
Robot-assisted microsurgery (RAMS) has many benefits compared to traditional
microsurgery. Microsurgical platforms with advanced control strategies, high-quality micro …

Review of advanced medical telerobots

S Mehrdad, F Liu, MT Pham, A Lelevé, SF Atashzar - Applied Sciences, 2020 - mdpi.com
The advent of telerobotic systems has revolutionized various aspects of the industry and
human life. This technology is designed to augment human sensorimotor capabilities to …

Intelligent robotics incorporating machine learning algorithms for improving functional capacity evaluation and occupational rehabilitation

J Fong, R Ocampo, DP Gross, M Tavakoli - Journal of occupational …, 2020 - Springer
Introduction Occupational rehabilitation often involves functional capacity evaluations (FCE)
that use simulated work tasks to assess work ability. Currently, there exists no single …

AR3n: A reinforcement learning-based assist-as-needed controller for robotic rehabilitation

S Pareek, HJ Nisar, T Kesavadas - IEEE Robotics & Automation …, 2023 - ieeexplore.ieee.org
In this article, we present AR3n (pronounced as Aaron), an assist-as-needed (AAN)
controller that utilizes reinforcement learning (RL), to supply adaptive assistance during a …

Robotic assistance for children with cerebral palsy based on learning from tele-cooperative demonstration

M Najafi, M Sharifi, K Adams, M Tavakoli - International Journal of …, 2017 - Springer
Physical interaction with the environment and object manipulation, play an important role in
the development of children's cognitive and perceptual skills. For children who have severe …

Haptics-enabled interactive neurorehabilitation mechatronics: classification, functionality, challenges and ongoing research

SF Atashzar, M Shahbazi, RV Patel - Mechatronics, 2019 - Elsevier
This review paper defines NeuroRehabilitation Mechatronics (NRM) as an overlap between
two areas of applied science: Bio-mechatronics and Neural Engineering. NRM is an …

Using potential field function with a velocity field controller to learn and reproduce the therapist's assistance in robot-assisted rehabilitation

M Najafi, C Rossa, K Adams… - IEEE/ASME Transactions …, 2020 - ieeexplore.ieee.org
Rehabilitative and assistive practices usually elicit intense and repetitive exercises. Thus,
there has been an increasing interest in robotic systems as they are robust and cost-effective …

Towards safe and efficient reinforcement learning for surgical robots using real-time human supervision and demonstration

Y Ou, M Tavakoli - 2023 International Symposium on Medical …, 2023 - ieeexplore.ieee.org
Recent research in surgical robotics has focused on increasing the level of autonomy in
order to reduce the workload of surgeons. While deep reinforcement learning (DRL) has …

Robust human upper-limbs trajectory prediction based on gaussian mixture prediction

Q Li, L Zhang, M Zhang, Y Du, K Liu, C Feng - IEEE Access, 2023 - ieeexplore.ieee.org
Accurate prediction of human motion trajectory can improve the security of human-robot
cooperation. Due to the unstructured nature of collaborative workspace and the uncertainty …

Visual-haptic colocation in robotic rehabilitation exercises using a 2d augmented-reality display

R Ocampo, M Tavakoli - 2019 International Symposium on …, 2019 - ieeexplore.ieee.org
Haptics-based Virtual Reality (VR) games have been found to be effective in rehabilitation
from disability. Augmented Reality (AR) has gained traction in recent years in various …