Paolo Rocco
Papers
4
Total Citations
47
H-Index
2
About
Paolo Rocco’s research lies at the intersection of human-robot collaboration, deformable object manipulation, and cyber-physical production systems. He has made foundational contributions to modeling and optimizing collaborative assembly operations, most notably through his work on workflow modeling for human-robot collaborative tasks, which has garnered 28 citations and provides a systematic framework for safe and efficient human-robot interaction. Rocco has also advanced the robotic manipulation of deformable linear objects (DLOs), such as cables and hoses, developing optimal model-based path planning and potential field-based online path planning for robust cable routing—a notoriously difficult problem due to the objects’ stiffness and unknown contours. His recent work on digital twins for collaborative robotics proposes a pre-deployment optimization framework that integrates cyber-physical systems to design robotic cells before physical implementation, a forward-looking approach that promises to reduce costs and improve safety. With a growing citation footprint and a focus on real-world industrial challenges, Rocco’s research is shaping the next generation of flexible, human-aware automation.
Research Focus
Key Achievements
Top Papers
- 1Workflow modelling for human–robot collaborative assembly operations28 citations · 2022
- 2
- 3Potential Field-Based Online Path Planning for Robust Cable Routing2 citations · 2024
- 4