Francesco Del Duchetto
Papers
8
Total Citations
111
H-Index
5
About
Francesco Del Duchetto is a leading researcher in long-term autonomous robotics, with a focus on human-robot interaction and social navigation. His work addresses the critical challenge of deploying robots that can operate reliably and adaptively in real-world, human-populated environments over extended periods. Del Duchetto's most notable contribution is the "Lindsey" tour guide robot, a system deployed in a museum that demonstrated how robots can learn from and adapt to human behavior during long-term operation (57 citations). He has also pioneered frameworks for robots to recover from navigation failures by learning from human demonstrations, and for online behavioral adaptation using reinforcement learning, enabling robots to "learn on the job" from user interactions. His research extends to agricultural robotics, where he has developed methods for human localization in complex field environments and unified topological representations for robotic fleets. With over 110 total citations across his key works, Del Duchetto's research provides foundational insights into creating socially capable, self-improving robots that can operate alongside humans in dynamic settings, from museums to farms.
Research Focus
Key Achievements
Top Papers
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- 7Abstract Visual Programming of Social Robots for Novice Users2 citations · 2020
- 8Machine Learning for RealisticBall Detection in RoboCup SPL2 citations · 2017