Ming-Yuan Song

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About

Ming-Yuan Song is a leading researcher in mobile robotics and human-robot interaction, with a focus on intelligent motion planning and assistive technologies. His most cited work, "Path Planning Algorithm Based on an Improved Artificial Potential Field for Mobile Service Robots" (2018, 6 citations), addresses critical challenges in autonomous navigation by enhancing the efficiency and safety of robot movement in dynamic environments. This contribution is foundational for service robots operating in healthcare settings, particularly in patient rehabilitation and biomechanics applications. Song’s research integrates artificial intelligence with medical signal processing and gait analysis, advancing the development of robots that assist individuals with disabilities. His work has been instrumental in bridging robotics and biomedical engineering, enabling more responsive and adaptive systems for human support. With a growing citation impact, Song’s innovations continue to shape the future of mobile service robots, offering practical solutions for motion control and human-robot collaboration in real-world scenarios.