Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

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 …

Robot manipulation, for example, pick-and-place manipulation, is broadly used for intelligent
manufacturing with industrial robots, ocean engineering with underwater robots, service …

Multifingered hand dexterous manipulation is quite challenging in the domain of robotics.
One remaining issue is how to achieve compliant behaviors. In this work, we propose a …

Learning from demonstration (LfD) enables robots to intuitively acquire new skills from
human demonstrations and incrementally evolve robotic intelligence. Given the significance …

It is essential for the robot manipulator to adapt to unexpected events and dynamic
environments while executing the physical contact-rich tasks. Although a range of methods …

The soft fingers and strategic grasping skills enable the human hands to grasp objects in a
stable manner. This letter is to model human grasping skills and transfer the learned skills to …

Robotic dual-arm manipulation often requires close cooperation between the arms. Dual-
arm manipulation tasks are always difficult to program in advance, and then, executed …

Traditional robot trajectory planning and programming methods often struggle to adapt to
changing working requirements, leading to repeated programming in manufacturing …

Traditional skill transfer frameworks mainly focus on kinematics, while there has been a lack
of studies on dynamics. This article develops a Riemannian-based dynamic movement …