Advanced Robotic Manipulators and Control Applications

Dear Colleagues,

In recent years, robotics has witnessed remarkable advancements, transforming various industries and aspects of our daily lives. From manufacturing and healthcare to transportation and exploration, robots play a pivotal role in enhancing efficiency, safety, and precision. The integration of cutting-edge technologies, such as artificial intelligence, machine learning, and sensor networks, has fueled the rapid evolution of robotics. As a result, there is a growing need to explore and disseminate research related to advanced robotics and their control mechanisms. These sophisticated machines, which are equipped with state-of-the-art sensors, actuators, and artificial intelligence, have the capability to perform complex tasks either autonomously or in collaboration with humans. The development and application of advanced robotics have far-reaching implications across various domains. Advanced robotics builds upon the foundation of traditional robotics, integrating breakthroughs in computer science, materials science, and engineering. It encompasses a wide range of robotic systems, including industrial robots, medical robots, drones, and autonomous vehicles. These robots exhibit enhanced capabilities such as perception, decision-making, and adaptability. Advanced robotics, which is reshaping industries, economies, and our daily lives, signifies a paradigm shift in technology. As research progresses, we anticipate witnessing even more remarkable applications and innovations in the coming years.

This Special Issue aims to address several research areas, including advanced robot design, system dynamics, intelligent perception and decision-making, and robot control, by considering these areas. Through the promotion of interdisciplinary collaboration and the exchange of knowledge, our goal is to expedite the adoption of advanced robotics solutions across various fields. This involves a detailed exploration of case studies that highlight the latest advancements in robotics and their applications for control.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Robot design and kinematics
• Motion control strategies
• Multi-agent collaborative control
• Reinforcement learning for robotics
• Robot vision and perception
• Simultaneous localization and mapping (SLAM)
• Robot motion planning and navigation
• Velocity profile planning
• Terrain detection and adaptation
• Docking and target interaction control
• Heterogeneous and cross-domain control
• Data-driven control
• Learning-based control and its application in robots
• Cyber–physical systems
• Rehabilitation robots, prosthetics, and exoskeleton robots
• Medical and surgical robots, biomimetic robots
• Robot perception and environmental adaptability
• Human–machine interaction and collaboration

Prof. Dr. Shoukun Wang
Dr. Zhihua Chen
Guest Editors

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• robotics motion control
• multi-agent reinforcement learning
• medical image processing
• motion planning
• velocity profile planning
• heterogeneous agent
• data-driven
• cyber-physical systems