Multi-sensor guided hand gesture recognition for a teleoperated robot using a recurrent neural network
Touch-free guided hand gesture recognition for human-robot interactions plays an
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …
Fuzzy-torque approximation-enhanced sliding mode control for lateral stability of mobile robot
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 …
mobile robots, especially under the situation with complex road conditions. The interaction …
Toward teaching by demonstration for robot-assisted minimally invasive surgery
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 …
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
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) …
the trajectory control of redundant robot manipulators using remote center of motion (RCM) …
A review on haptic bilateral teleoperation systems
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 …
but conflicting with one another. Ensuring safety and accuracy of bilateral haptic …
Improved handwritten digit recognition using convolutional neural networks (CNN)
Traditional systems of handwriting recognition have relied on handcrafted features and a
large amount of prior knowledge. Training an Optical character recognition (OCR) system …
large amount of prior knowledge. Training an Optical character recognition (OCR) system …
A brief survey of telerobotic time delay mitigation
There is a substantial number of telerobotics and teleoperation applications ranging from
space operations, ground/aerial robotics, drive-by-wire systems to medical interventions …
space operations, ground/aerial robotics, drive-by-wire systems to medical interventions …
An incremental learning framework for human-like redundancy optimization of anthropomorphic manipulators
Recently, the human-like behavior on the anthropomorphic robot manipulator is increasingly
accomplished by the kinematic model establishing the relationship of an anthropomorphic …
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
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 …
where the latter is still under-addressed in the literature. Investigating perceived safety in …
Adaptive control of time delay teleoperation system with uncertain dynamics
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 …
time-delay force feedback teleoperation system without external interference and internal …