Optimizing path planning in mobile robot systems using motion capture technology

Recent advancements in mechatronics and robotics have led to the emergence of a wide range of technologies with potential applications across various industries. This progress has been observed in recent years and is expected to continue as the integration of robots into daily life becomes more widespread. Despite these developments, deploying robots in industrial environments, particularly in assembly operations, still presents several challenges, including effectively distributing skills-based tasks between human and robotic workers. This paper proposes an approach to improve the performance of mobile robot systems for optimal path planning. The technique utilizes motion capture technology to collect real-time data on the robot's movements, generate optimal path planning strategies, and enable remote control and monitoring of the robot's activities. The proposed approach can significantly enhance mobile robot systems' capabilities in various industrial settings. The results of our study demonstrate that the integration of motion capture technology can substantially improve the accuracy and efficiency of path planning in mobile robot systems and enhance their overall performance. A series of experiments demonstrate its effectiveness in generating optimal path-planning strategies while minimizing the risk of collisions and other hazards.