ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI,
has attracted world-wide attention for its capability of dealing with challenging language …

Opportunistic computation offloading is an effective way to improve the computing
performance of Industrial Internet of Things (IIoT) devices. However, as more and more …

Motivated by the challenges inherent in achieving high-accuracy tracking control of practical
6-degree-of-freedom (6-DOF) hydraulic robotic manipulators, we aim to conduct research on …

This study aims to demonstrate reinforcement learning tracking control for automatically
configuring the impedance parameters of a robotic knee prosthesis. While our previous …

Recent efforts in the design of intelligent controllers for configuring robotic prostheses have
demonstrated new possibilities in improving mobility and restoring locomotion for individuals …

This is the first attempt at considering human influence in the reinforcement learning control
of a robotic lower limb prosthesis toward symmetrical walking in real world situations. We …

This paper is concerned with the cooperative target stalking for a multi-unmanned surface
vehicle (multi-USV) system. Based on the multi-agent deep deterministic policy gradient …

This article proposes a method of reinforcement learning (RL) of an interpretable fuzzy
system (IFS) based on a neural fuzzy actor-critic (RLIFS-NFAC) framework. The critic in the …

Wearable walking exoskeletons show great potentials in helping patients with neuro
musculoskeletal stroke. Key to the successful applications is the design of effective walking …

Multirobot patrolling systems with various sensing and communications devices are
deployed to guarantee maritime safety. Patrolling path planning for multiple robots can be …