Dario Antonelli

About

Dario Antonelli is a prominent researcher in industrial automation, human-robot collaboration (HRC), and smart manufacturing, whose work sits at the intersection of robotics, artificial intelligence, and Industry 4.0 technologies. Based at the Politecnico di Torino, Antonelli has made substantial contributions to designing and optimizing collaborative workcells where human workers and robotic systems share tasks dynamically and safely. His most influential work, "Dynamic Task Classification and Assignment for the Management of Human-Robot Collaborative Teams in Workcells" (2018, 123 citations), introduced frameworks for intelligently distributing assembly responsibilities between humans and robots in real time — a foundational contribution to flexible manufacturing. Antonelli has further advanced the field through research on lean-thinking integration in collaborative cells, machine learning-based robot reliability monitoring, and error prediction in HRC assembly environments, collectively accumulating hundreds of citations. Beyond task management, his work spans augmented reality guidance for manual welding, robotic vision for reflective workpiece detection, and task-based programming methodologies. Notably, he has also investigated the practical applicability of HRC to small-batch production — a critical challenge for real-world industrial adoption. Together, these contributions position Antonelli as a leading voice shaping the future of safe, intelligent, and human-centered manufacturing systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Dynamic task classification and assignment for the management of human-robot collaborative teams in workcells

   123 citations · 2018
2. 2
   Human-robot collaborative work cell implementation through lean thinking

   40 citations · 2019
3. 3
   Proposal of a Monitoring System for Collaborative Robots to Predict Outages and to Assess Reliability Factors Exploiting Machine Learning

   39 citations · 2021
4. 4
   Dynamic distribution of assembly tasks in a collaborative workcell of humans and robots

   38 citations · 2019
5. 5
   Enhancing the Quality of Manual Spot Welding through Augmented Reality Assisted Guidance

   30 citations · 2015
6. 6
   Predicting and preventing mistakes in human-robot collaborative assembly

   29 citations · 2019
7. 7
   Reflective workpiece detection and localization for flexible robotic cells

   28 citations · 2016
8. 8
   Applicability of Human-Robot Collaboration to Small Batch Production

   27 citations · 2016
9. 9
   Task-based Programming and Sequence Planning for Human-Robot Collaborative Assembly

   24 citations · 2019
10. 10
    Qualification of a Collaborative Human-robot Welding Cell

    23 citations · 2016

Key Collaborators

Contact & Links