This article proposes a distributed cooperative manipulation control scheme for multirobot
systems to track reference trajectories with unknown payload dynamics, grasp positions, and …

In this study, a novel reinforcement learning task supervisor (RLTS) with memory in a
behavioral control framework is proposed for human—multi-robot coordination systems …

The objective of this paper is to devise a general framework to allow a human operator to
physically interact with an object manipulated by a multi-manipulator system in a distributed …

Despite the recent developments in robotic technology that have introduced robots in
various fields of industry, agriculture, service, security, etc., complex applications that involve …

针对人–多机器人协同系统提出一种基于行为控制框架的带记忆强化学习任务管理器(RLTS).
由于重复的人工干预, 现有人–多机器人协同系统决策时间成本高, 任务跟踪误差大 …

In this paper, a novel distributed control scheme for cooperative manipulation in unknown
environment is developed for multi-robot system. Based on the compliant control framework …

Recent years have witnessed significant development in robotics technology, leading to
increased research interest in human-robot interaction. This paper presents a distributed …

In decentralized systems, the control loop between robots, sensors, actuators and
processing units does not close on the same physical device, but through a communication …