Research and application of reinforcement learning in robotics for contact-rich manipulation
tasks have exploded in recent years. Its ability to cope with unstructured environments and …

Reinforcement learning from expert demonstrations (RLED) is the intersection of imitation
learning with reinforcement learning that seeks to take advantage of these two learning …

With the rapid advancement of manufacturing in China, robot machining technology has
become a popular research subject. An increasing number of robots are currently being …

Robotic rigid contact-rich manipulation in an unstructured dynamic environment requires an
effective resolution for smart manufacturing. As the most common use case for the …

For years, the fully-automated robotic assembly has been a highly sought-after technology in
large-scale manufacturing. Yet it still struggles to find widespread implementation in …

Purpose As complex analysis of contact models is required in the traditional assembly
strategy, it is still a challenge for a robot to complete the multiple peg-in-hole assembly tasks …

Electronic equipment, including phased array radars, satellites, high-performance
computers, etc., has been widely used in military and civilian fields. Its importance and …

This paper proposes an efficient robot assembly skill learning framework based on only a
few demonstrations. The assembly skill learning process consists of two phases, eg, the pre …

To improve the robotic assembly effects in unstructured environments, a reinforcement
learning (RL) algorithm is introduced to realize a variable admittance control. In this article …

The current work proposes a method for the active control of flow over a National Advisory
Committee of Aeronautics 0012 airfoil under turbulent condition based on time-resolved …