Changyou Ma
Papers
3
Total Citations
62
H-Index
3
About
Changyou Ma is a leading researcher in the field of mobile manipulation, with a primary focus on intelligent control, dynamic modeling, and energy optimization for robotic systems operating in hazardous environments. His most influential work, "Trajectory tracking control of wheeled mobile manipulator based on fuzzy neural network and extended Kalman filtering" (2016, 46 citations), pioneered a novel approach to precise motion control by integrating fuzzy logic with neural networks and sensor fusion, significantly enhancing the autonomy of mobile manipulators. Ma has made groundbreaking contributions to rescue robotics, particularly for nuclear power plants (NPPs). His research on door-opening tasks—a critical challenge in NPP rescue scenarios—is especially notable. In "Optimal Energy Consumption for Mobile Manipulators Executing Door-Opening Task" (2018, 10 citations), he developed energy-efficient strategies to extend operational endurance during missions. Further, in "Dynamic Modeling and Experimental Validation of Door-Opening Process by a Mobile Manipulator" (2019, 6 citations), he addressed the complex dynamics of door manipulation without force/torque sensors, a key constraint in NPP environments. Ma’s work bridges theoretical modeling and practical validation, offering vital solutions for robots performing high-stakes tasks in radiation-prone or inaccessible areas, with lasting impact on autonomous rescue operations.
Research Focus
Key Achievements
Top Papers
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