Cedric Den Haese
Papers
1
Total Citations
7
H-Index
1
About
Cedric Den Haese is a robotics researcher whose work focuses on the challenging domain of deformable object manipulation, with a particular emphasis on robotic handling of clothing and textiles. His key research areas include robotic manipulation, smart textile technology, and machine learning for robotics. Den Haese's major contribution lies in his innovative approach to simplifying the learning process for robotic manipulation of clothing by integrating DIY smart textile technology. His most-cited paper, "Simpler Learning of Robotic Manipulation of Clothing by Utilizing DIY Smart Textile Technology" (2020, 7 citations), addresses the fundamental challenge of deformable object manipulation—the infinite state configurations caused by material deformations. Rather than relying on complex engineered approaches, Den Haese proposes a more accessible methodology that leverages smart textiles to provide sensory feedback, enabling robots to learn manipulation tasks more efficiently. This work is notable for its practical, cost-effective approach to a problem that has been largely underexplored in robotics research despite the ubiquity of deformable objects in society and industry. Den Haese's research represents an important step toward making robotic manipulation of deformable objects more feasible for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1