Toward next-generation learned robot manipulation
The ever-changing nature of human environments presents great challenges to robot
manipulation. Objects that robots must manipulate vary in shape, weight, and configuration …
manipulation. Objects that robots must manipulate vary in shape, weight, and configuration …
Human–robot interaction review and challenges on task planning and programming
The wide interest of research and industry in the human–robot interaction (HRI) related
topics is proportional to the increased productivity and flexibility of the production lines, as it …
topics is proportional to the increased productivity and flexibility of the production lines, as it …
A deep learning framework for assessing physical rehabilitation exercises
Computer-aided assessment of physical rehabilitation entails evaluation of patient
performance in completing prescribed rehabilitation exercises, based on processing …
performance in completing prescribed rehabilitation exercises, based on processing …
Facilitating human–robot collaborative tasks by teaching-learning-collaboration from human demonstrations
Collaborative robots are widely employed in strict hybrid assembly tasks involved in
intelligent manufacturing. In this paper, we develop a teaching-learning-collaboration (TLC) …
intelligent manufacturing. In this paper, we develop a teaching-learning-collaboration (TLC) …
[HTML][HTML] Multi-LeapMotion sensor based demonstration for robotic refine tabletop object manipulation task
In some complicated tabletop object manipulation task for robotic system, demonstration
based control is an efficient way to enhance the stability of execution. In this paper, we use a …
based control is an efficient way to enhance the stability of execution. In this paper, we use a …
To imitate or not to imitate: Boosting reinforcement learning-based construction robotic control for long-horizon tasks using virtual demonstrations
Construction robots controlled using reinforcement learning (RL) have recently emerged,
showing higher adaptability and self-learning intelligence over pre-programmed and …
showing higher adaptability and self-learning intelligence over pre-programmed and …
Data mining approach for automatic ship-route design for coastal seas using AIS trajectory clustering analysis
D Zhang, Y Zhang, C Zhang - Ocean Engineering, 2021 - Elsevier
In this paper, we propose an automatic route design method based on simple recurrent unit
(SRU) and automatic identification system (AIS) data. Laplacian eigen maps and Gaussian …
(SRU) and automatic identification system (AIS) data. Laplacian eigen maps and Gaussian …
Haptics electromyography perception and learning enhanced intelligence for teleoperated robot
Due to the lack of transparent and friendly human-robot interaction (HRI) interface, as well
as various uncertainties, it is usually a challenge to remotely manipulate a robot to …
as various uncertainties, it is usually a challenge to remotely manipulate a robot to …
Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning
Demonstration trajectories collected from a supervisor in teleoperation are widely used for
robot learning, and temporally segmenting the trajectories into shorter, less-variable …
robot learning, and temporally segmenting the trajectories into shorter, less-variable …
[HTML][HTML] Human–robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization
Robots are increasingly exploited in production plants. Within the Industry 4.0 paradigm, the
robot complements the human's capabilities, learning new tasks and adapting itself to …
robot complements the human's capabilities, learning new tasks and adapting itself to …