Manipulation skill learning and generalisation have gained increasing attention due to the
wide applications of robot manipulators and the spurt of robot learning techniques …

This paper provides a comprehensive review of the current status, advancements, and future
prospects of humanoid robots, highlighting their significance in driving the evolution of next …

Multiple peg-in-hole insertion control is one of the challenging tasks in precision assembly
for its complex contact dynamics. In this article, an insertion policy learning method is …

Learning from demonstration is one of the most promising methods to counteract the
challenging long-term trends in repetitive industrial assembly. It offers not only a …

How to enable robotic compliant manipulation has become a critical problem in the robotics
field. Inspired by a biomimetic adaptive control strategy, this article presents a novel …

Vision measurement technology is increasingly utilized in aerospace assembly due to its
high precision, low cost and convenience. However, it remains challenges to calibrate the …

Research concerning microelectronics assembly has attracted increasing attention from the
manufacturing industry. In this context, achieving precise placement of the printed circuit …

Biomedical microelectrode implantation is a promising approach to achieve invasive brain-
machine interface with high bandwidth and good biocompatibility. However, it is difficult to …

Due to the large state–action space and statically indeterminate problem, it is difficult to
analyze the robotic multiple peg-in-hole (PIH) assembly tasks, which results in a scarcity of …

Robot skill learning is one of the international advanced directions in the field of robot-based
intelligent manufacturing, which makes it possible for robots to learn and operate …