Repetitive industrial tasks can be easily performed by traditional robotic systems. However,
many other works require cognitive knowledge that only humans can provide. Human-Robot …

Controlling and processing of time-variant problem is universal in the fields of engineering
and science, and the discrete-time recurrent neural network (RNN) model has been proven …

Human–robot object handover is one of the most primitive and crucial capabilities in human–
robot collaboration. It is of great significance to promote robots to truly enter human …

In this article, we focus on human-to-cobot dual-arm handover operations for large box-type
objects. The efficiency of handover operations should be ensured and the naturalness as if …

Robot-human object handover has been extensively studied in recent years for a wide
range of applications. However, it is still far from being as natural as human-human …

Category-level 6-D object pose estimation plays a crucial role in achieving reliable robotic
grasp detection. However, the disparity between synthetic and real datasets hinders the …

Motion-force control of redundant manipulators is universally regarded as a pivotal issue in
industrial manufacturing, especially for the processing of precision instruments. This paper …

Different from conventional motion/force control strategies based on robotic dynamics, this
paper presents a kinematic perspective to convert the motion/force control problem into a bi …

This paper addresses the motion planning of the manipulator in task space. To improve the
overall trajectory performance, a special motion planning method based on DMPs (Dynamic …

Future manufacturing will witness a shift in human-robot relationships toward collaboration,
compassion, and coevolution. This will require seamless human-robot knowledge transfer …