Papers
11
Total Citations
202
H-Index
8
About
Chunyang Zhao is a robotics and autonomous systems researcher whose work centers on collaborative perception, semantic mapping, and robust robot localization. His most significant contributions lie in developing frameworks that enable multiple robots to build shared, semantically rich understandings of their environments — moving beyond traditional geometry-only approaches to incorporate high-level contextual information. His collaborative semantic mapping series, including hierarchical probabilistic fusion frameworks grounded in Bayesian reasoning, has collectively attracted over 100 citations, establishing him as a notable voice in multi-robot coordination research. Zhao has also made meaningful advances in robust localization under challenging real-world conditions. His NTU4DRadLM dataset (33 citations) addresses the critical limitations of LiDAR and visual SLAM in adverse weather by introducing 4D radar-centric multi-modal benchmarking — a timely contribution as the field pushes toward all-weather autonomy. His work spans diverse robotic platforms, from sidewalk delivery robots navigating pedestrian-crowded environments to underwater vehicles performing autonomous docking and aerial-ground collaborative mapping in GNSS-denied settings. This breadth reflects a consistent ambition: making autonomous robots perceptually reliable and socially aware across the full spectrum of real-world deployment challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A Hierarchical Framework for Collaborative Probabilistic Semantic Mapping31 citations · 2020
- 4
- 5
- 6
- 7COSEM: Collaborative Semantic Map Matching Framework for Autonomous Robots12 citations · 2021
- 8Aerial-Ground Robots Collaborative 3D Mapping in GNSS-Denied Environments10 citations · 2022
- 9Probabilistic 3D Semantic Map Fusion Based on Bayesian Rule6 citations · 2019
- 10