Dewang Mao
Papers
1
Total Citations
6
H-Index
1
About
Dewang Mao is a robotics researcher specializing in industrial robot dynamics, actuation systems, and adaptive balancing mechanisms. His work focuses on enhancing the autonomy and performance of robotic manipulators through novel mechanical designs. Mao’s most cited paper, “A novel adaptive balance-drive mechanism for industrial robots using a series elastic actuator” (2020, 6 citations), addresses a critical limitation in static balancing techniques—their lack of autonomy, continuity, and dynamic response. By integrating a series elastic actuator, he proposes a solution that compensates joint torque adaptively, improving load handling and motion smoothness in industrial robots. This contribution is significant for advancing robotic precision and safety in manufacturing environments. Though early in his career, Mao’s research bridges mechanical design and control, offering practical improvements for real-world automation. His work is particularly relevant for students and engineers interested in robotic actuation, torque compensation, and the next generation of adaptive industrial systems.
Research Focus
Key Achievements
Top Papers
- 1