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Variable Impedance Control and Learning—A Review
Frontiers in Robotics and AI, 2020 Robots that physically interact with their surroundings, in order to accomplish some tasks or assist humans in their activities, require to exploit contact forces in a safe and proficient manner. Impedance control is considered as a prominent approach in
Fares J. Abu-Dakka, Matteo Saveriano
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Lower-limb prosthetic mechanisms: recent progress, control innovations and barriers to real-world adoption [PDF]
BioMedical Engineering OnLineLower-limb impairments caused by amputation, stroke or paralysis severely impact mobility and independence. Assistive technologies for these conditions include passive prostheses, powered limbs and robotic exoskeletons, each offering distinct advantages ...
Syed Riyas Ahamed +2 more
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Efficient Force Control Learning System for Industrial Robots Based on Variable Impedance Control
Sensors, 2018 Learning variable impedance control is a powerful method to improve the performance of force control. However, current methods typically require too many interactions to achieve good performance. Data-inefficiency has limited these methods to learn force-
Chao Li +4 more
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Efficient learning variable impedance control for industrial robots [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2019 Compared with the robots, humans can learn to perform various contact tasks in unstructured environments by modulating arm impedance characteristics. In this article, we consider endowing this compliant ability to the industrial robots to effectively ...
C. Li, Z. Zhang, G. Xia, X. Xie, Q. Zhu
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Mechanical Engineering Journal, 2023 Human-Robot Collaboration (HRC) systems are becoming widespread in industrial applications owing to the advantages of enhancing work productivity and reducing production expenses.
Liem Duc TRAN +3 more
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Applied Sciences, 2022 Robot automatic assembly of weak stiffness parts is difficult due to potential deformation during assembly. The robot manipulation cannot adapt to the dynamic contact changes during the assembly process. A robot assembly skill learning system is designed
Ziyue Wang +5 more
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A Framework for Composite Layup Skill Learning and Generalizing Through Teleoperation
Frontiers in Neurorobotics, 2022 In this article, an impedance control-based framework for human-robot composite layup skill transfer was developed, and the human-in-the-loop mechanism was investigated to achieve human-robot skill transfer.
Weiyong Si +3 more
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Deep Learning-Based Recognition of Unsafe Acts in Manufacturing Industry
IEEE Access, 2023 Despite technological progress and the tendency for automation, the majority of manufacturing workplaces still rely on human labor. Although industrial tasks are frequently composed of simple operator actions, non-ergonomic execution of such repetitive ...
Arso M. Vukicevic +3 more
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Energies, 2022 Integrating inverter-based generators in power systems introduces several challenges to conventional protection relays. The fault characteristics of these generators depend on the inverters’ control strategy, which matters in the detection and ...
Khalfan Al Kharusi +2 more
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An Advanced Adaptive Control of Lower Limb Rehabilitation Robot
Frontiers in Robotics and AI, 2018 Rehabilitation robots play an important role in the rehabilitation field, and effective human-robot interaction contributes to promoting the development of the rehabilitation robots. Though many studies about the human-robot interaction have been carried
Yihao Du +5 more
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