Andrea Monguzzi

About

Andrea Monguzzi is an emerging researcher specializing in robotics, human-robot collaboration, and the manipulation of deformable linear objects (DLOs), with a growing body of work that is already making a meaningful impact in advanced manufacturing and industrial automation. With over 90 citations across recent publications, Monguzzi has established a distinctive research identity at the intersection of robotic dexterity, sensor integration, and collaborative assembly systems. Among Monguzzi's most recognized contributions is work on workflow modelling for human-robot collaborative assembly (28 citations), which provides foundational frameworks for integrating humans and robots in shared workspaces. Equally significant are advances in robotic manipulation of cables and hoses—challenging objects due to their deformability and variability—where Monguzzi has pioneered tactile-based skills for cable routing, vision-based bin picking strategies, and model-based path planning approaches that collectively push the boundaries of what autonomous robotic systems can reliably accomplish. Monguzzi also addresses broader manufacturing challenges, proposing optimization methodologies for task allocation and scheduling in human-robot stations, as well as systematic design strategies for reconfigurable assembly lines. This breadth reflects a researcher committed not only to solving immediate technical problems but to shaping the future of flexible, intelligent manufacturing environments—making their work highly relevant for students and engineers navigating Industry 4.0.

Research Focus

Key Achievements

Top Papers

1. 1
   Workflow modelling for human–robot collaborative assembly operations

   28 citations · 2022
2. 2
   Optimal model-based path planning for the robotic manipulation of deformable linear objects

   16 citations · 2024
3. 3
   Tactile based robotic skills for cable routing operations

   11 citations · 2023
4. 4
   Sensorless robotized cable contour following and connector detection

   10 citations · 2023
5. 5
   A mixed capability-based and optimization methodology for human-robot task allocation and scheduling

   10 citations · 2022
6. 6
   Flexible robotic strategy for the assembly of ring-shaped elastic objects

   6 citations · 2022
7. 7
   Vision-Based State and Pose Estimation for Robotic Bin Picking of Cables

   5 citations · 2023
8. 8
   A systematic strategy for the architecture design of collaborative and reconfigurable assembly lines

   3 citations · 2024
9. 9
   Potential Field-Based Online Path Planning for Robust Cable Routing

   2 citations · 2024

Key Collaborators

Contact & Links