Johan Sommerfeld

Papers

Total Citations

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About

Johan Sommerfeld is a researcher in robotics and computer vision, with a particular focus on reactive grasping and 3D perception. His most cited work, "Early Reactive Grasping with Second Order 3D Feature Relations" (2007, 33 citations), introduces a novel approach to robotic manipulation by leveraging second-order geometric relationships in 3D point cloud data. This contribution enables robots to reactively adjust their grasp in real-time, improving dexterity and adaptability in unstructured environments—a key challenge in autonomous systems. Sommerfeld’s work bridges the gap between low-level sensor data and high-level grasping strategies, offering a foundation for more robust robotic interaction. Though his citation count reflects a focused niche, his ideas have influenced subsequent research in reactive control and feature-based perception. For students and researchers, Sommerfeld’s work exemplifies how early-career contributions can shape practical robotics, emphasizing the importance of integrating geometric reasoning with real-time decision-making. His research remains a touchstone for those exploring adaptive manipulation in dynamic settings.