Uncertain factors in environments restrict the intelligence level of industrial robots. Based on
deep reinforcement learning, a skill-acquisition method is used to solve the posed problems …

In islanded microgrids, it is a challenge to optimize battery energy storage systems (BESSs)
with other power supply units (eg, renewable energy and traditional power generator) and …

Unmanned Surface Vehicle (USV) has a broad application prospect and autonomous path
planning as its crucial technology has developed into a hot research direction in the field of …

The wastewater treatment process (WWTP) is beneficial for maintaining sufficient water
resources and recycling wastewater. A crucial link of WWTP is to ensure that the dissolved …

An environment cannot be effectively described with a single perception form in skill
learning for robotic assembly. The visual perception may provide the object's apparent …

The adaptive dynamic programming controller usually needs a long training period because
the data usage efficiency is relatively low by discarding the samples once used. Prioritized …

This paper studies an optimal control problem for multi-agent systems under adaptive
dynamic programming (ADP) framework. To overcome the restrictions resulting from the …

Earth pressure balance (EPB) shield has been widely used in underground construction.
The excavation face stability is crucial to avoid the accidents caused by EPB shield …

This paper addresses the event-driven-modular optimal tracking control problem for
nonlinear strict-feedback systems with external disturbances. Through the backstepping …

A long standing goal in artificial intelligence is to make robots seamlessly interact with
humans in performing everyday manipulation skills. Learning from demonstrations or …