Hongqiang Zhao

State Key Laboratory of High Performance Complex Manufacturing, Central South University

Papers

Total Citations

H-Index

About

Hongqiang Zhao is a robotics researcher specializing in mobile robot control, path planning, and energy management, with a focus on multi-wheel-drive and skid-steering platforms for special operations and medical rescue. His major contributions include developing a differential steering control strategy for 6×6 wheel-drive mobile robots, which addresses slippage to enhance steering accuracy and stability—a critical advancement for rugged terrain navigation. He also proposed a coordinated motion control method using a hierarchical speed consensus approach to mitigate disturbances in complex environments. In path planning, Zhao introduced the TD3-KDHER algorithm, an improved deep reinforcement learning technique that reduces collision rates and inefficiencies in complex scenarios. His work on energy management for medical rescue robots optimizes power consumption under varying payloads and road conditions, extending operational endurance. With over 13 citations across his most-cited papers, Zhao’s research is impactful in advancing autonomous navigation and control for specialized mobile robots. Notably, his 2021 paper on differential steering control has garnered the highest recognition, reflecting its practical relevance in the field.