Matthis Keppner

Papers

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About

Driven by a vision of intelligent automation in unstructured environments, Matthis Keppner’s research focuses on autonomous robotic systems for agriculture and waste management. His work tackles the formidable challenges of in-field fruit harvesting, where variable lighting, occlusions, and delicate produce demand robust perception and manipulation. In his most-cited paper, “Challenges of Autonomous In-field Fruit Harvesting and Concept of a Robotic Solution” (2022, 4 citations), Keppner systematically identifies key bottlenecks—from fruit detection to safe grasping—and proposes a novel robotic architecture to address them. He extends this expertise to sustainability with “Concept of a Robotic System for Autonomous Coarse Waste Recycling” (2021, 3 citations), where he designs a system capable of sorting bulky, irregular recyclables in cluttered environments. Though early in his career, his contributions are already shaping practical, deployable solutions for labor-intensive tasks. Keppner’s work stands out for its emphasis on real-world constraints and system-level integration, offering a blueprint for robots that can operate reliably beyond factory floors. His research is a valuable resource for students and engineers seeking to bridge the gap between laboratory prototypes and field-ready automation.