Cheng Hao

Papers

Total Citations

H-Index

About

Cheng Hao is a robotics researcher specializing in rescue robotics, parallel mechanism design, and bio-inspired locomotion control. His most cited work introduces a novel walking robot built from dual Stewart parallel legs, engineered for the critical task of transporting wounded individuals in disaster environments. To address the challenge of maintaining a stable, invariably horizontal platform during locomotion, Hao developed an innovative control framework integrating Particle Swarm Optimization with a Central Pattern Generator (CPG) algorithm. This PSO-CPG approach significantly enhances the robot’s stability and adaptive gait, ensuring safe patient transport over uneven terrain. With 3 citations, this 2023 paper represents a focused contribution to the field of parallel mobile robotics. Hao’s research bridges mechanical design and intelligent control, offering practical solutions for emergency response. His work is particularly relevant for students and researchers interested in rescue robotics, parallel manipulators, and bio-inspired control systems, demonstrating how optimization algorithms can improve real-world robotic performance in high-stakes scenarios.