Papers
8
Total Citations
195
H-Index
7
About
Xiang He is a robotics and autonomous systems researcher whose work spans indoor environment modeling, aerial robotics, environmental monitoring, and multi-agent control. His early contributions focused on simultaneous localization and mapping (SLAM) and 3D scene reconstruction, notably his 2015 paper fusing 2D LiDAR with camera data to enable detailed indoor modeling for applications like navigation and interactive gaming, which has garnered 50 citations. He subsequently expanded his research toward autonomous aerial vehicles, developing collision avoidance strategies and repetitive control systems for UAVs executing precise periodic trajectories. A particularly impactful thread in He's career is the intersection of aerial robotics and environmental sensing. His 2019 work on autonomous chemical-sensing aerial robots (45 citations) demonstrated how UAVs can identify and quantify chemical agents in urban and suburban environments, addressing critical public safety challenges. Building on this, his 2020 decentralized multi-agent information-theoretic (DeMAIT) control algorithm (41 citations) introduced a principled Bayesian framework enabling cooperative mobile sensor networks to efficiently localize chemical sources such as gas leaks. Complementary work on Gaussian-based kernels further refined multi-agent chemical-plume mapping. With over 195 total citations, He's research makes meaningful contributions to autonomous environmental monitoring, robot navigation, and intelligent multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 12D LiDAR and camera fusion in 3D modeling of indoor environment50 citations · 2015
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- 5Gaussian-Based Kernel for Multi-Agent Aerial Chemical-Plume Mapping14 citations · 2019
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- 7A real-time fast incremental SLAM method for indoor navigation10 citations · 2013
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