Meng Liu
Papers
1
Total Citations
3
H-Index
1
About
Meng Liu is a robotics researcher whose work centers on the control and motion planning of specialized robotic systems, with a particular focus on amphibious and spherical robots. Their most notable contribution addresses the fundamental challenge of trajectory tracking control—a critical requirement for autonomous operations in rescue, environmental detection, and obstacle avoidance tasks. Liu’s key insight was applying Model Predictive Control (MPC) to solve the constrained quadratic programming problems inherent in trajectory tracking, enabling more precise and reliable navigation for amphibious spherical robots operating in complex aquatic and terrestrial environments. This work, published in 2021, has garnered 3 citations and represents an important step in bridging control theory with practical robotic applications. By tackling the specific constraints of amphibious locomotion, Liu has contributed to advancing autonomous systems capable of operating in challenging, multi-domain environments—a growing priority in field robotics and search-and-rescue technology. Their research continues to explore how predictive control strategies can enhance the autonomy and adaptability of novel robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1