[HTML][HTML] Large language models for human-robot interaction: A review
The fusion of large language models and robotic systems has introduced a transformative
paradigm in human–robot interaction, offering unparalleled capabilities in natural language …
paradigm in human–robot interaction, offering unparalleled capabilities in natural language …
Pneumatic soft robots: Challenges and benefits
In the field of robotics, soft robots have been showing great potential in the areas of medical
care, education, service, rescue, exploration, detection, and wearable devices due to their …
care, education, service, rescue, exploration, detection, and wearable devices due to their …
Reactive human–robot collaborative manipulation of deformable linear objects using a new topological latent control model
Real-time reactive manipulation of deformable linear objects is a challenging task that
requires robots to quickly and adaptively respond to changes in the object's deformed shape …
requires robots to quickly and adaptively respond to changes in the object's deformed shape …
Challenges and outlook in robotic manipulation of deformable objects
Deformable object manipulation (DOM) is an emerging research problem in robotics. The
ability to manipulate deformable objects endows robots with higher autonomy and promises …
ability to manipulate deformable objects endows robots with higher autonomy and promises …
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) …
Fuzzy approximation-based task-space control of robot manipulators with remote center of motion constraint
The presence of unknown physical interaction between the patients' body and surgical tool
in laparoscopic surgery requires a secure end-effector positioning while assuring a reliable …
in laparoscopic surgery requires a secure end-effector positioning while assuring a reliable …
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 …
Deep neural network approach in robot tool dynamics identification for bilateral teleoperation
For bilateral teleoperation, the haptic feedback demands the availability of accurate force
information transmitted from the remote site. Nevertheless, due to the limitation of the size …
information transmitted from the remote site. Nevertheless, due to the limitation of the size …
[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 …