Guo Wu

Bauman Moscow State Technical University

Papers

Total Citations

H-Index

About

Dr. Guo Wu is a researcher in robotics and human-robot collaboration, with a focus on perception and safety systems for industrial automation. His work centers on developing intelligent supervisory frameworks that enable robots to work safely alongside humans in shared workspaces. Dr. Wu’s major contributions include the design of a supervisory system for collaborative robotic cells using RGBD cameras, which enhances real-time monitoring and hazard detection. He has also advanced object recognition in dynamic environments, notably through a modified YOLOv5 architecture for moving person detection and an attention-guided model for in-hand mechanical tool recognition during collaborative processes. These innovations address critical challenges in human-robot interaction, such as reliable tool identification and worker safety. While his most cited papers have garnered modest early citations (4 each for his 2022 and 2023 works), they represent foundational steps in scalable, vision-based collaborative robotics. Dr. Wu’s research is particularly relevant for industries adopting Industry 5.0 principles, where seamless human-robot teamwork is essential. His work continues to influence the development of safer, more perceptive robotic systems.