Benxu Tang

Harbin Institute of Technology, University of Hong Kong

Papers

Total Citations

H-Index

About

Benxu Tang is a leading researcher in autonomous robotics, with a focus on LiDAR-based unmanned aerial vehicles (UAVs), multi-robot systems, and 3D exploration. His most impactful work, "MARSIM: A Light-Weight Point-Realistic Simulator for LiDAR-Based UAVs" (2023, 55 citations), provides a critical simulation platform that enables safe and efficient development of autonomous UAVs using emerging solid-state LiDAR sensors. Tang further advanced autonomous exploration with "Bubble Explorer: Fast UAV Exploration in Large-Scale and Cluttered 3D-Environments Using Occlusion-Free Spheres" (2023, 25 citations), introducing a novel method that overcomes the limitations of greedy goal selection to dramatically improve exploration efficiency in complex environments. His recent work, "Real-time Bandwidth-efficient Occupancy Grid Map Synchronization for Multi-Robot Systems" (2024), addresses the persistent challenge of real-time environmental information sharing in robot swarms under low communication bandwidth. Tang's contributions are foundational to the practical deployment of autonomous UAVs and multi-robot systems, with his simulator and exploration algorithms enabling safer, faster, and more scalable robotic operations in real-world, cluttered environments.