Papers
29
Total Citations
460
H-Index
12
About
Martina Lippi is a robotics and artificial intelligence researcher whose work spans precision agriculture, multi-robot systems, human-robot collaboration, and deformable object manipulation. She has made significant contributions to the intersection of computer vision and agricultural automation, most notably through a YOLO-based pest detection system developed within the H2020 European project PANTHEON, which has garnered 97 citations and demonstrated real-world impact in hazelnut orchard monitoring. Her research on cloth and deformable object manipulation has been equally influential, with her benchmark framework for bimanual cloth manipulation (76 citations) becoming a key reference point for the robotics community. Lippi has also advanced the field of multi-robot coordination, proposing novel solutions for safe human-robot interaction through trajectory scaling approaches and distributed task allocation frameworks. Her route optimization work, formulating agricultural robot planning as a multi-Steiner Traveling Salesman Problem, reflects her ability to bridge theoretical operations research with practical field robotics. Further contributions include latent space roadmap methods for visual action planning in complex manipulation tasks. With a research portfolio spanning European-funded projects, safety-critical systems, and data-driven agricultural monitoring, Lippi represents a versatile and impactful voice in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1A YOLO-Based Pest Detection System for Precision Agriculture97 citations · 2021
- 2Benchmarking Bimanual Cloth Manipulation76 citations · 2020
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