Jieting Zhao

Southern University of Science and Technology

Papers

Total Citations

H-Index

About

Jieting Zhao is a leading researcher in human-robot interaction (HRI), with a focus on enabling robots to robustly perceive and follow humans in dynamic, real-world environments. Her work directly tackles the critical challenge of partial occlusion—a common failure point for autonomous systems. Her most-cited paper, "Robot Person Following Under Partial Occlusion" (2023, 21 citations), established a new benchmark for reliable person tracking when the target is not fully visible. Building on this, she developed "Person Re-Identification for Robot Person Following With Online Continual Learning" (2024, 9 citations), introducing adaptive AI that can re-identify a person after losing sight of them. Zhao also advances autonomous mobile manipulation, as shown in her work on "Robotic Autonomous Trolley Collection" (2022, 20 citations), where she integrated progressive perception with nonlinear model predictive control for practical logistics applications. Her recent contribution, "Human Orientation Estimation Under Partial Observation" (2024, 4 citations), further improves robots' ability to infer human intent from incomplete visual data. With over 50 total citations and a rapidly growing publication record, Zhao is shaping the future of resilient, perception-driven HRI systems.