A comprehensive review on automatic mobile robots: applications, perception, communication and control
N Ding, C Peng, M Lin, C Wu - Journal of Circuits, Systems and …, 2022 - World Scientific
In recent years, automatic mobile robots (AMRs) have been widely concerned in various
fields, such as material handling, unmanned aerial vehicle (UAV) cruise, automatic factories …
fields, such as material handling, unmanned aerial vehicle (UAV) cruise, automatic factories …
Critic learning-based control for robotic manipulators with prescribed constraints
In this article, the optimal control problem for robotic manipulators (RMs) with prescribed
constraints is addressed. Considering the environmental conditions and requirements of …
constraints is addressed. Considering the environmental conditions and requirements of …
Enclosing control for multiagent systems with a moving target of unknown bounded velocity
S Ju, J Wang, L Dou - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
This note studies an enclosing control problem for a multiagent system with a moving target
of unknown bounded velocity. The objectives are to let each agent move along a circular …
of unknown bounded velocity. The objectives are to let each agent move along a circular …
Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming
In this paper, we consider a remote estimation problem where multiple dynamical systems
are observed by smart sensors, which transmit their local estimates to a remote estimator …
are observed by smart sensors, which transmit their local estimates to a remote estimator …
Adaptive Dynamics Programming for H∞ Control of Continuous-Time Unknown Nonlinear Systems via Generalized Fuzzy Hyperbolic Models
In this paper, a novel adaptive dynamic programming (ADP) algorithm is developed for the
infinite-horizon (H∞) optimal control problems with unknown continuous-time (CT) nonlinear …
infinite-horizon (H∞) optimal control problems with unknown continuous-time (CT) nonlinear …
Secure-by-construction optimal path planning for linear temporal logic tasks
In this paper, we investigate the problem of planning an optimal infinite path for a single
robot to achieve a linear temporal logic (LTL) task with security guarantee. We assume that …
robot to achieve a linear temporal logic (LTL) task with security guarantee. We assume that …
Distributed cooperative reinforcement learning for multi‐agent system with collision avoidance
In this work, we present an optimal cooperative control scheme for a multi‐agent system in
an unknown dynamic obstacle environment, based on an improved distributed cooperative …
an unknown dynamic obstacle environment, based on an improved distributed cooperative …
A two-stage distributed receding horizon control for persistent monitoring tasks with monitoring count requirements
X Zhao, T Yang, Y Zou, S Li - International Journal of Systems …, 2024 - Taylor & Francis
This paper investigates the problem of multi-agent persistent monitoring with monitoring
count requirements. A team of agents is tasked with monitoring multiple targets to minimise …
count requirements. A team of agents is tasked with monitoring multiple targets to minimise …
A data-driven approximate dynamic programming approach based on association rule learning: Spacecraft autonomy as a case study
Dynamic programming (DP) and Markov Decision Process (MDP) offer powerful tools for
formulating, modeling, and solving decision making problems under uncertainty. In real …
formulating, modeling, and solving decision making problems under uncertainty. In real …
Receding horizon control for persistent monitoring tasks with monitoring count requirements
X Zhao, Y Zou, S Li - IET Control Theory & Applications, 2024 - Wiley Online Library
This article presents a reachability‐based receding horizon control (RHC) method for
addressing persistent monitoring problems with count requirements. An agent is assigned to …
addressing persistent monitoring problems with count requirements. An agent is assigned to …