Nan Mao
Papers
2
Total Citations
10
H-Index
2
About
Nan Mao is a rising researcher in the field of robotics, with a focus on the modeling and control of innovative mobile manipulation systems. Her work primarily addresses the challenges of wheeled-legged robots and underactuated mechanisms, aiming to enhance their stability and practical utility in real-world tasks. Mao’s major contributions include the development of dynamic models and controllers that reduce chassis tilt in wheeled biped robots—a critical step toward enabling these machines to assist with repetitive daily activities. Her 2024 paper on this topic has already garnered 7 citations, reflecting its early impact in the robotics community. Additionally, she has explored the kinetostatics of vehicle-mounted metamorphic loading manipulators, employing particle-swarm optimization to improve their performance, with her 2025 work accumulating 3 citations. Through these studies, Mao demonstrates a commitment to advancing robotic autonomy and human-robot collaboration, laying groundwork for more adaptive and efficient assistive technologies. Her research is particularly relevant for students and engineers interested in the intersection of kinematics, dynamics, and intelligent control in robotics.
Research Focus
Key Achievements
Top Papers
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- 2