Wenyuan Hou

South China University of Technology, KTH Royal Institute of Technology

Papers

Total Citations

138

H-Index

About

Wenyuan Hou is a leading researcher at the intersection of robotics, computer vision, and intelligent sensing systems. His work focuses on enabling robots to perceive and navigate complex environments with high precision. Hou’s most influential contribution is a high-accuracy indoor localization scheme that leverages visible light positioning (VLP) within the Robot Operating System (ROS). This work, which has garnered over 120 citations, provides a cost-effective solution for mobile robots operating in industrial, domestic, and public spaces, addressing a critical need for reliable indoor navigation. He has also advanced the field of robotic perception with his work on YOLOv4-object, an efficient deep learning model designed for object discovery—the ability to recognize unknown objects in unseen environments. This contribution is vital for autonomous exploration and manipulation. By combining robust localization with adaptive perception, Hou’s research is laying the foundational technology for more autonomous and capable service robots, directly impacting the future of smart factories and assistive robotics.