Jiaheng Zhao

University of Technology Sydney, Beijing Institute of Technology, South China Normal University

Papers

Total Citations

H-Index

About

Jiaheng Zhao is a robotics researcher whose work bridges the critical gap between perception, locomotion, and autonomous navigation. His primary research areas include Simultaneous Localization and Mapping (SLAM), legged robot locomotion, and path planning. Zhao made a significant contribution to SLAM with his 2020 paper on "2D Laser SLAM With General Features Represented by Implicit Functions" (23 citations), which introduced a novel framework for representing environmental features—a natural and powerful approach for handling the boundary data from laser scanners. In the domain of legged robotics, his 2018 work on a "Stability Criterion for Dynamic Gaits of Quadruped Robot" (18 citations) directly addressed a critical gap in the field, providing a rigorous method for evaluating motion stability that is essential for robust balance recovery and planning. More recently, Zhao has advanced mobile robot navigation with his 2023 fusion algorithm combining A* and DWA, which enhances both global path optimality and real-time obstacle avoidance. Through these contributions, Zhao has demonstrated a consistent focus on solving fundamental challenges in robot autonomy, from how a robot sees its world to how it moves through it with stability and intelligence.