Wei Ye

University of Southern California, Tongji University, Tianjin University

Papers

Total Citations

H-Index

About

Wei Ye is a robotics and autonomous systems researcher whose work spans wireless networked robotics, autonomous navigation, and multi-robot coordination. His foundational 2002 contribution, "Evaluating Control Strategies for Wireless-Networked Robots," addressed a critical challenge at the intersection of robotics and communications — demonstrating how robot controllers and communication subsystems interact within multi-robot teams. This work, which has accumulated 42 citations, established an integrated simulation methodology that helped shape subsequent research in networked robotic systems during a formative period for the field. More recently, Ye has extended his research into computer vision and autonomous perception, with his 2024 paper "SG-RoadSeg" presenting an end-to-end deep learning architecture for collision-free space detection. By leveraging unsupervised stereo learning to jointly encode RGB and depth representations, this work addresses a fundamental challenge in robot navigation safety. His 2023 work on multi-robot task scheduling further reflects his sustained interest in coordinating robot teams effectively. Across more than two decades of research, Ye has consistently worked at the boundary of communication, perception, and coordination — making him a noteworthy contributor to the evolving landscape of intelligent autonomous systems.