Ningbo Cheng
Papers
2
Total Citations
9
H-Index
2
About
Ningbo Cheng is a rising researcher in the field of robotics, with a focused expertise in bio-inspired locomotion and control systems for quadruped robots. His work centers on enabling dynamic, agile movements—particularly jumping—through advanced learning and model-based control strategies. Cheng’s major contributions include the development of a target-guided policy optimization framework for jumping skill acquisition, which allows quadruped robots to learn and execute precise leaps in complex environments. Additionally, he has advanced the application of port-Hamiltonian modeling for trajectory tracking control, providing a robust theoretical foundation for stable and energy-efficient jumping motions. Despite being early in his career, his research has already garnered attention, with his most cited papers accumulating 5 and 4 citations respectively within a single year. These works, published in 2024, demonstrate his ability to bridge reinforcement learning with classical control theory, offering practical pathways for robots to achieve unprecedented agility. Cheng’s achievements are particularly notable for their potential impact on search-and-rescue and exploration robotics, where jumping capabilities are critical for overcoming obstacles.
Research Focus
Key Achievements
Top Papers
- 1
- 2