A review on manipulation skill acquisition through teleoperation‐based learning from demonstration
Manipulation skill learning and generalisation have gained increasing attention due to the
wide applications of robot manipulators and the spurt of robot learning techniques …
wide applications of robot manipulators and the spurt of robot learning techniques …
Trajectory online adaption based on human motion prediction for teleoperation
In this work, a human motion intention prediction method based on an autoregressive (AR)
model for teleoperation is developed. Based on this method, the robot's motion trajectory …
model for teleoperation is developed. Based on this method, the robot's motion trajectory …
[HTML][HTML] Human-in-the-loop in artificial intelligence in education: A review and entity-relationship (ER) analysis
B Memarian, T Doleck - Computers in Human Behavior: Artificial Humans, 2024 - Elsevier
Background Human-in-the-loop research predominantly examines the interaction types and
effects. A more structural and pragmatic exploration of humans and Artificial Intelligence or …
effects. A more structural and pragmatic exploration of humans and Artificial Intelligence or …
Robust real-time detection of laparoscopic instruments in robot surgery using convolutional neural networks with motion vector prediction
More than half of post-operative complications can be prevented, and operation
performances can be improved based on the feedback gathered from operations or …
performances can be improved based on the feedback gathered from operations or …
Estimation of EMG-based force using a neural-network-based approach
The dynamics of human arms has a high impact on the humans' activities in daily life,
especially when a human operates a tool such as interactions with a robot with the need for …
especially when a human operates a tool such as interactions with a robot with the need for …
Lower limb movement intention recognition for rehabilitation robot aided with projected recurrent neural network
M Liu, B Peng, M Shang - Complex & Intelligent Systems, 2022 - Springer
For the lower limb rehabilitation robot, how to better realize intention recognition is the key
issue in the practical application. Recognition of the patient's movement intention is a …
issue in the practical application. Recognition of the patient's movement intention is a …
Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges
Teleoperation provides a promising way for human–robot collaboration in the unknown or
unstructured environments to perform a cooperative task. It enables humans to complete a …
unstructured environments to perform a cooperative task. It enables humans to complete a …
Learning Compliant Box-in-Box Insertion through Haptic-Based Robotic Teleoperation
In modern logistics, the box-in-box insertion task is representative of a wide range of
packaging applications, and automating compliant object insertion is difficult due to …
packaging applications, and automating compliant object insertion is difficult due to …
A method of motion recognition based on electromyographic signals
In a robot-assisted surgery, a skillful surgeon can perform the operation excellently through
flexible wrist motions and rich experience. However, there are little researches about the …
flexible wrist motions and rich experience. However, there are little researches about the …
Three-domain fuzzy wavelet broad learning system for tremor estimation
J Lin, Z Liu, CLP Chen, Y Zhang - Knowledge-Based Systems, 2020 - Elsevier
This paper proposes a new three-domain fuzzy wavelet broad learning system (TDFW-BLS)
for tremor estimation in tele-operation. In the feature layer of our novel method, feature …
for tremor estimation in tele-operation. In the feature layer of our novel method, feature …