<![CDATA[The Human-robot collaboration (HRC) is increasingly becoming a major concern in the development of modern industrial technology. One of the biggest challenges in HRC is to create a system that enables safe, efficient, and adaptive interaction between humans and robots in a dynamic work environment. This article examines the role of motion planning and adaptive control systems in enhancing the effectiveness of such collaboration. By implementing motion planning algorithms that are able to respond in real-time to changes in the environment and human behavior, and adaptive control systems that adjust the robot's response to external inputs, human-robot collaboration can achieve a higher level of synergy. This study presents a modeling and simulation-based approach and case studies of collaboration in the manufacturing and service sectors. The results of the study show that the integration of motion planning and adaptive control not only improves safety and efficiency, but also strengthens the robot's ability to work side by side with humans in a natural way.]]>
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