Christos Kampouris

Imperial College London, Centre for Research and Technology Hellas

Papers

Total Citations

H-Index

About

Christos Kampouris is a leading researcher in computer vision and robotics, with a core focus on fine-grained material perception and tactile sensing. His pioneering work addresses the "laundry problem"—enabling robots to recognize and manipulate deformable textiles in unconstrained environments. Kampouris’s most cited paper, "Fine-Grained Material Classification Using Micro-geometry and Reflectance" (60 citations), introduces a novel method that leverages micro-scale surface geometry and reflectance properties to distinguish between visually similar fabrics, a breakthrough for robotic handling. He further advanced this field with "Multi-sensorial and Explorative Recognition of Garments" (24 citations), demonstrating a robot system that integrates RGB-D, tactile, and photometric sensors to perceive garment shape and material without prior assumptions. Earlier, his "Miniature Photometric Stereo System for Textile Surface Structure Reconstruction" (8 citations) provided a compact, mountable device for 3D fabric reconstruction. Kampouris’s contributions are foundational to robotic perception of soft materials, directly impacting applications in automated laundry, assistive robotics, and smart manufacturing. His work is essential reading for researchers exploring multi-modal sensing and material classification in unstructured settings.