Theo de Haan
Papers
1
Total Citations
4
H-Index
1
About
Theo de Haan is a robotics researcher specializing in agricultural automation, with a particular focus on precision grasping and computer vision for horticultural applications. His work addresses the challenge of handling delicate, non-uniform produce, such as vine tomatoes, where traditional industrial gripping methods often fail. In his most-cited paper, "Geometry-Based Grasping of Vine Tomatoes" (2021), de Haan introduces a novel approach that combines a computer-vision pipeline to identify key geometric features of both the tomatoes and the truss stem with a geometric model of the robotic hand. This method enables a more reliable and damage-free grasp, advancing the state of the art in soft fruit harvesting. While his citation count of 4 reflects the niche and emerging nature of his field, his contribution is notable for its practical, geometry-driven solution to a real-world agricultural bottleneck. de Haan’s work is a foundational step toward fully autonomous harvesting systems, bridging the gap between robotic manipulation and the unstructured environments of modern greenhouses.
Research Focus
Key Achievements
Top Papers
- 1Geometry-Based Grasping of Vine Tomatoes4 citations · 2021