Luc Claesen
Papers
3
Total Citations
19
H-Index
3
About
Luc Claesen is a researcher advancing the fields of robotic perception and human-robot interaction, with a primary focus on solving the critical challenge of depth sensing for transparent objects. His most impactful work, "ClueDepth Grasp" (2022, 10 citations), introduces an innovative approach that leverages positional depth clues to complete the depth maps of transparent objects—a notoriously difficult problem due to refraction and reflection. This contribution is pivotal for enabling humanoid robots to reliably perceive and grasp everyday transparent items, directly addressing a key bottleneck in robotic manipulation. Building on this, his 2024 work "DistillGrasp" further refines the technique by integrating feature correlation with knowledge distillation, achieving more efficient and accurate depth completion. Beyond robotics, Claesen has explored affective computing with his "Real-time SVM-based emotion recognition algorithm" (2017, 5 citations), targeting healthcare robots for the aging population. By combining robust engineering with practical applications in assistive technology, Claesen’s research—garnering nearly 20 citations—demonstrates a clear trajectory toward making robots more perceptive and responsive in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Real-time SVM-based emotion recognition algorithm5 citations · 2017
- 3