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Automation, Robotics and Machines (ARM) - ISTePS

Laboratory of

Automation, Robotics and Machines (ARM)

The Laboratory supports the mission of the Institute of System and Technologies for Sustainable Production (ISTePS) in the areas of robotic based automated production systems and reconfigurable industrial robotics, systems and industrial technologies for Additive Manufacturing and 3D printing, industrial automation and 2D/3D vision systems.

To this purpose, reconfigurable industrial robots, robotic islands and Redundant Machines for AM are designed and developed, their kinematics and dynamics are modeled, their control infrastructure is implemented together with path and process planning design and simulation, task sequencing and dispatching.

Mechatronic equipment, metal and composite material processes are designed for multi-material deposition, and hybrid processes based on deposition and subtraction of material are implemented too. Furthermore, new automation solutions which can integrate 2D/3D vision systems are developed, e.g. to measure features or recognize defects in processes, products and surfaces.
 
Head: Prof. Anna Valente, PhD

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Projects List

Publications List

  1. A. Bussolan, S. Baraldo, L. Gambardella, and A. Valente, 2024, Multimodal fusion stress detector for enhanced human-robot collaboration in industrial assembly tasks. Accepted at RO-MAN 2024, Pasadena
  2. V. Sala, A. Vandone, S. Baraldo, M. Banfi, F. Mazzucato and Anna Valente, 2024, AI-aided thermal imaging with multispectral camera for Direct Energy Deposition. In press, MetroiInd 2024, Firenze
  3. L. Pollicini, F. Mazzucato, A. Valente, 2024, Influence of SLM block support design on geometrical quality of AISI 316 l cantilever features and its impact on post-processing, Materials Research Express, 16510. DOI: 10.1088/2053-1591/ad1948.
  4. F. Impaziente, M. Porta, F. Torre, A.K. Orlandini, C. Benzoni, and A. Valente, 2024, Optical parameters impact on glass-to-metal welding, SPIE Photonics West.
  5. P. Franceschi, M. Beschi, N. Pedrocchi, A. Valente, 2023, Modeling and analysis of pHRI with Differential Game Theory, 21st International Conference on Advanced Robotics (ICAR) pp.277-284, DOI: 10.1109/ICAR58858.2023.10406758.
  6. F. Impaziente, L. Giorleo, F. Mazzucato, 2023, Selective laser melting of H13 tool steel powder: effect of process parameter on complex part production, Progress in Additive Manufacturing. https://doi.org/10.1007/s40964-023-00504-w.
  7. Valente, A., Avram, O., 2023, Editorial: From cobots to human-robot synergy–overview and future trends, Frontiers in Robotics and AI, 10. https://doi.org/10.3389/frobt.2023.1270373.
  8. Impaziente, F., Giorleo, L., Mazzucato, F., 2023, Selective laser melting of H13 tool steel powder: effect of process parameter on complex part production, Progress in Additive Manufacturing. https://doi.org/10.1007/s40964-023-00504-w.
  9. Gitardi, D., Sabbadini, S., Valente, A., 2023, Trajectory error compensation for optimal control of UMA-2 – a climbing robot executing maintenance operation in harsh environment, International Conference on Robotics and Automation pp.10090-10096, doi: 10.1109/ICRA48891.2023.10161025.
  10. Guerra, D., Mosca, A., Valente, A., Cabanes, I., Carpanzano, E., 2023, An advanced dual APF-Based controller for efficient simultaneous collision and singularity avoidance for human-robot collaborative assembly processes, CIRP annals, 72:.5-8.
  11. M. Perani, R. Jandl, S. Baraldo, A. Valente, B. Paoli, 2023, Long-short term memory networks for modeling track geometry in laser metal deposition, Frontiers in Artificial Intelligence, 6:1156630.
  12. A. Bussolan, S. Baraldo, A. Valente, L. M. Gambardella, 2023, Assessing the Impact of Human-Robot Collaboration on Stress Levels and Cognitive Load in Industrial Assembly Tasks, International Symposium of Robotics Europe 2023 pp.78-85.
  13. V. Sala, A. Vandone, S. Baraldo, M. Banfi, A. Baj, F. Impaziente, F. Mazzucato, A. Valente, 2023, Sensor fusion for stand-off estimation in direct energy deposition, SPIE Optical Metrology 2023, 12621, http://dx.doi.org/10.1117/12.2673816.
  14. V. Sala, A. Vandone, M. Banfi, S. Baraldo, F. Mazzucato, A. Valente, 2023, Online 3D Geometry Reconstruction for Direct Energy Deposition Based on Melt Pool Images, 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT pp.96-101,
  15. Perani, A., Baraldo, S., Vandone, A., Valente, A., Paoli, B., 2023, Track geometry prediction for Laser Metal Deposition based on on-line artificial vision and deep neural networks, Robotics and Computer-Integrated Manufacturing, 79:102445.

The ARM Lab is equipped with several research infrastructures for applications in robotics and industrial production.

Robotics

  • RoboGym, a collaborative robotics laboratory equipped with 4 cobots featuring vision, voice control, and AI-guided interaction
  • Collaborative and non-collaborative robots of various commercial models (FANUC, KUKA, COMAU)
  • Zenko, thedeliberative collaborative robot prototype
  • Prototypes of mobile climbing robots for offshore maintenance
  • Other mobile platforms with wheels and legs

Manufacturing

  • 3-axis (commercial) and 5-axis (prototype) DED additive manufacturing machines
  • Powder bed fusion additive manufacturing machine
  • Custom cold spray guns and robotic system
  • Commercial and prototype powder feeders
  • 3-axis (commercial) and 5-axis (prototype) femtosecond ablation machines
  • Two-Photon Polymerization (2PP) and Direct Atomic Layer Processing (DALP) technologies
  • Non-contact metrology equipment (microscopes, 3D scanners, laser tracker)

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