Paolo Chiabert

About

Paolo Chiabert is a leading researcher at the intersection of industrial robotics, Lean Manufacturing, and Industry 4.0. His work focuses on integrating collaborative robots (cobots) and autonomous mobile robots (AMR) into factory networks to enhance efficiency, safety, and sustainability. Chiabert’s major contributions include developing a symbiotic relationship between robotics and Lean Manufacturing, demonstrated through a case study on line balancing that achieved measurable productivity gains. He also pioneered a predictive energy demand model for AMR-cobot systems in automated logistics, addressing a critical gap in sustainable manufacturing. With over 125 citations across his top papers, his research on reflective workpiece detection and human-robot collaboration safety methods has been widely adopted. Notably, his novel approach for teaching IT tools within learning factories has influenced curricula worldwide, bridging academia and industry. Chiabert’s work on key performance indicators for mobile and collaborative robots provides a framework for optimizing factory networks, while his recent investigations into additive manufacturing with cobots push the boundaries of flexible automation. His research is essential for engineers and students seeking practical, data-driven solutions for the factories of tomorrow.

Research Focus

Key Achievements

Top Papers

1. 1
   Reflective workpiece detection and localization for flexible robotic cells

   28 citations · 2016
2. 2
   A Novel Approach for Teaching IT Tools within Learning Factories

   24 citations · 2017
3. 3
   Symbiotic relationship between robotics and Lean Manufacturing: a case study involving line balancing

   19 citations · 2021
4. 4
   Prediction and estimation model of energy demand of the AMR with cobot for the designed path in automated logistics systems

   17 citations · 2021
5. 5
   Application of speed and separation monitoring method in human-robot collaboration: industrial case study

   13 citations · 2017
6. 6
   Analyses and Study of Human Operator Monotonous Tasks in Small Enterprises in the Era of Industry 4.0

   8 citations · 2020
7. 7
   Key Performance Indicators Integrating Collaborative and Mobile Robots in the Factory Networks

   7 citations · 2019
8. 8
   Practical Implementation of Industry 4.0 Based on Open Access Tools and Technologies

   7 citations · 2019
9. 9
   Investigation on Additive Manufacturing Processes Performed by Collaborative Robot

   2 citations · 2024
10. 10
    Management of Laser-Cut Sheet-Metal Part Using Collaborative Robots

    2 citations · 2022

Key Collaborators

Contact & Links