Papers
21
Total Citations
338
H-Index
10
About
Alessandro Saccon is a leading researcher in the field of robotics, with a primary focus on motion planning, control, and manipulation, particularly for systems involving physical interactions and impacts. His work is distinguished by a deep theoretical foundation in hybrid systems and a strong commitment to experimental validation. Saccon's major contributions include pioneering the concept of "reference spreading" control, a framework that guarantees stable tracking of trajectories through hard impacts—a critical challenge for humanoid robots and robotic manipulators performing dynamic tasks like grasping and pushing. This work is supported by his highly cited papers on energy-optimal multi-vehicle motion planning (79 citations) and stable hybrid position-force control (57 citations). His impact is further demonstrated by his leadership in developing cooperative motion planning algorithms for autonomous marine vehicles and collaborative robotic tools for polishing. Notably, his recent research on quadratic programming-based reference spreading for dual-arm manipulation with planned simultaneous impacts (2024) represents a significant step toward enabling robots to exploit intentional impacts for more human-like manipulation, with his top-cited works collectively amassing over 250 citations.
Research Focus
Key Achievements
Top Papers
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- 5Cooperative Motion Planning for Multiple Autonomous Marine Vehicles20 citations · 2012
- 6Cooperative AUV motion planning using terrain information17 citations · 2013
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