Miao Zheng

Papers

Total Citations

H-Index

About

Miao Zheng is a leading researcher in the field of wheeled mobile robotics, with a primary focus on adaptive locomotion control, bio-inspired design, and optimal tracking systems. Their most impactful contribution is the development of a variable wheelbase control strategy for wheeled mobile robots (WMRs), inspired by worm-like creeping gaits. This breakthrough, published in 2024 and garnering 55 citations, allows robots to dynamically adjust their wheelbase length to traverse deformable terrains—such as sand or mud—while maintaining stability and mobility for complex detection tasks. Zheng’s work addresses the critical control challenge of balancing adaptive terrain interaction with precise motion, significantly advancing the capabilities of field robotics. Additionally, their 2023 study on neural-based finite-time optimal tracking control, which integrates reinforcement learning and penalty functions to handle inequality constraints, has earned 9 citations and showcases their expertise in merging machine learning with real-time robotic systems. Zheng’s research not only pushes the boundaries of robotic mobility in unstructured environments but also provides practical frameworks for autonomous navigation, making their work essential reading for students and engineers exploring adaptive, intelligent robotics.