Multi-sensor guided hand gesture recognition for a teleoperated robot using a recurrent neural network

W Qi, SE Ovur, Z Li, A Marzullo… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Touch-free guided hand gesture recognition for human-robot interactions plays an
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …

Fuzzy-torque approximation-enhanced sliding mode control for lateral stability of mobile robot

J Li, J Wang, H Peng, Y Hu, H Su - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Accurate path tracking and stability are the main challenges of lateral motion control in
mobile robots, especially under the situation with complex road conditions. The interaction …

Toward teaching by demonstration for robot-assisted minimally invasive surgery

H Su, A Mariani, SE Ovur, A Menciassi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Learning manipulation skills from open surgery provides more flexible access to the organ
targets in the abdomen cavity and this could make the surgical robot working in a highly …

Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results

H Su, Y Hu, HR Karimi, A Knoll, G Ferrigno, E De Momi - Neural networks, 2020 - Elsevier
In this paper, an improved recurrent neural network (RNN) scheme is proposed to perform
the trajectory control of redundant robot manipulators using remote center of motion (RCM) …

A review on haptic bilateral teleoperation systems

SNF Nahri, S Du, BJ Van Wyk - Journal of Intelligent & Robotic Systems, 2022 - Springer
In the haptic human-robot interaction systems, stability and transparency factors are critical
but conflicting with one another. Ensuring safety and accuracy of bilateral haptic …

Improved handwritten digit recognition using convolutional neural networks (CNN)

S Ahlawat, A Choudhary, A Nayyar, S Singh, B Yoon - Sensors, 2020 - mdpi.com
Traditional systems of handwriting recognition have relied on handcrafted features and a
large amount of prior knowledge. Training an Optical character recognition (OCR) system …

A brief survey of telerobotic time delay mitigation

P Farajiparvar, H Ying, A Pandya - Frontiers in Robotics and AI, 2020 - frontiersin.org
There is a substantial number of telerobotics and teleoperation applications ranging from
space operations, ground/aerial robotics, drive-by-wire systems to medical interventions …

An incremental learning framework for human-like redundancy optimization of anthropomorphic manipulators

H Su, W Qi, Y Hu, HR Karimi… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Recently, the human-like behavior on the anthropomorphic robot manipulator is increasingly
accomplished by the kinematic model establishing the relationship of an anthropomorphic …

[HTML][HTML] Do you feel safe with your robot? Factors influencing perceived safety in human-robot interaction based on subjective and objective measures

N Akalin, A Kristoffersson, A Loutfi - International journal of human …, 2022 - Elsevier
Safety in human-robot interaction can be divided into physical safety and perceived safety,
where the latter is still under-addressed in the literature. Investigating perceived safety in …

Adaptive control of time delay teleoperation system with uncertain dynamics

S Lu, Y Ban, X Zhang, B Yang, S Liu, L Yin… - Frontiers in …, 2022 - frontiersin.org
A bilateral adaptive control method based on PEB control structure is designed for a class of
time-delay force feedback teleoperation system without external interference and internal …