Yugeng Huang

Papers

Total Citations

H-Index

About

Yugeng Huang’s research focuses on advancing multi-sensor perception and multi-robot coordination, with key contributions in LiDAR-camera calibration and task scheduling for autonomous systems. His most cited work, “A Method for Synchronous Automated Extrinsic Calibration of LiDAR and Cameras Based on a Circular Calibration Board” (2023, 17 citations), addresses a critical challenge in sensor fusion—enabling precise, automated alignment between LiDAR and camera data. This method enhances robotic environmental perception and localization, offering a practical solution for autonomous navigation in complex settings. Huang also explores multi-robot collaboration in his paper “A Task Scheduling Method for Multi-robot Collaboration” (2023), where he develops efficient scheduling algorithms to optimize cooperative task execution. Though early in his career, his calibration technique has already gained traction among researchers working on sensor integration for robotics and autonomous vehicles. Huang’s work bridges theoretical innovation and real-world applicability, making him a promising voice in the fields of robotic perception and multi-agent systems.