Masengo Gilbert, Zhang Xiaodong, Dong Runlin, Alhassan Ahmad B, Hamza Khaled, Mudaheranwa Emmanuel
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an, China.
Front Neurorobot. 2023 Jan 12;16:913748. doi: 10.3389/fnbot.2022.913748. eCollection 2022.
Effective control of an exoskeleton robot (ER) using a human-robot interface is crucial for assessing the robot's movements and the force they produce to generate efficient control signals. Interestingly, certain surveys were done to show off cutting-edge exoskeleton robots. The review papers that were previously published have not thoroughly examined the control strategy, which is a crucial component of automating exoskeleton systems. As a result, this review focuses on examining the most recent developments and problems associated with exoskeleton control systems, particularly during the last few years (2017-2022). In addition, the trends and challenges of cooperative control, particularly multi-information fusion, are discussed.
使用人机接口有效控制外骨骼机器人(ER)对于评估机器人的运动及其产生的力以生成高效控制信号至关重要。有趣的是,已经进行了某些调查来展示前沿的外骨骼机器人。先前发表的综述论文尚未全面研究控制策略,而控制策略是外骨骼系统自动化的关键组成部分。因此,本综述着重研究与外骨骼控制系统相关的最新进展和问题,特别是在过去几年(2017 - 2022年)期间。此外,还讨论了协同控制的趋势和挑战,尤其是多信息融合方面。