Xiaogang Bai

Papers

Total Citations

H-Index

About

Xiaogang Bai is a leading researcher in the field of optoelectronics and laser-based sensing, with a primary focus on developing compact, high-performance systems for robotics and autonomous navigation. His most influential work centers on the design and demonstration of low-cost, compact MEMS scanning LADAR (Laser Detection and Ranging) systems, a critical technology for enabling autonomous vehicles and robots to perceive their environment. His seminal 2012 paper on this topic, which has garnered 62 citations, details a brass-board system developed at the U.S. Army Research Laboratory in collaboration with Boeing Spectrolab, showcasing a practical path toward miniaturized, eye-safe lidar. Beyond system integration, Bai has made significant contributions to the fundamental components of these sensors, particularly in the development of low-excess-noise Short Wavelength Infrared (SWIR) avalanche photodiodes (APDs). His work on InGaAs APDs, cited 10 times, addresses the critical challenge of reducing avalanche-induced noise to enhance sensitivity for applications like eye-safe laser ranging and robotic vision. Through this dual focus on system-level innovation and component-level optimization, Bai has helped push the boundaries of practical, field-deployable lidar technology.