Kevin Chen–Chuan Chang

University of Maryland, Baltimore County

Papers

Total Citations

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About

Kevin Chen–Chuan Chang is a leading researcher in robotics and autonomous systems, with a primary focus on dynamic modeling, motion control, and human-robot interaction. His most influential work centers on the development of advanced control strategies for robotic manipulators, particularly three-link RRR robots, where he pioneered the integration of Microsoft Kinect motion capture systems to enable intuitive, human-guided control. This innovative approach allows robots to replicate human arm movements in real time, bridging the gap between human intent and machine action. His foundational papers, including "Dynamic Model and Motion Control of a Robotic Manipulator" (2017, 13 citations) and "Dynamic Modeling and Motion Control of a Three-Link Robotic Manipulator" (2017, 10 citations), have become essential references for researchers working on bio-inspired robotic control. Beyond industrial applications, Chang has explored the strategic implications of autonomous systems in security contexts, notably in his work "Aerial swarms as asymmetric threats" (2016, 8 citations), which examines how low-cost drone swarms can pose significant challenges to traditional defense systems. His research is characterized by a practical, systems-level approach that combines rigorous mathematical modeling with real-world deployment considerations, making his contributions valuable for both academic robotics and applied autonomous technologies.