Wenpeng He

Shandong Institute of Automation, China University of Geosciences, University of Manchester

Papers

Total Citations

H-Index

About

Wenpeng He is a leading researcher in robotics and computer vision, with a focus on enabling autonomous systems to operate in challenging real-world environments. His primary research areas include 3D reconstruction, object detection and segmentation, and the automation of complex tasks for live working robots. He has made significant contributions to solving the problem of 3D sensing in outdoor settings, where strong light often blinds active cameras and weak textures defeat passive ones. His most cited work, "Outdoor 3D reconstruction method based on multi-line laser and binocular vision" (2020, 16 citations), proposes a novel fusion approach that overcomes these limitations, achieving robust 3D reconstruction of substation fittings—a critical capability for live-line maintenance robots. He has also advanced the field of insulator inspection, developing depth-based positioning methods for featureless, reflective surfaces and a dedicated image segmentation algorithm for robotic platforms. Earlier in his career, He contributed to the automation of plant micropropagation, demonstrating a vision-directed robot system that identifies and transfers viable microplants. With a career spanning from early agricultural robotics to modern power grid automation, He’s work consistently bridges the gap between perception and action, enabling robots to see and manipulate objects in unstructured, outdoor environments.