Peng Bai

North China University of Technology, Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Peng Bai is a robotics researcher whose work bridges bio-inspired sensing and autonomous navigation. His primary research areas include multi-sensor fusion, simultaneous localization and mapping (SLAM), and person-tracking for mobile robots. Bai’s most notable contribution is a multi-sensor fusion SLAM approach that integrates a bio-inspired polarized skylight sensor—mimicking insect navigation—to enhance robot localization in complex environments. This innovative work, published in 2020, has garnered 25 citations, reflecting its growing influence in the field of biomimetic robotics. Earlier in his career, Bai developed a person-tracking system for mobile robots using a single PTZ camera, specifically designed to handle occlusion in dynamic scenes. That 2006 paper, with 7 citations, laid groundwork for robust tracking in real-world settings. Bai’s research is distinguished by its creative application of biological principles to solve practical robotics challenges, offering students and researchers a compelling example of how interdisciplinary thinking can advance autonomous systems.