Algoritmi di Apprendimento Automatico e la loro Implementazione Embedded per la Robotica di Servizio

• Best paper award on Agri-Robotics at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems. (2021)
• Best presentation award for the 5th SmartData@Polito Workshop (2021)
• "UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture" has been selected as an “Editor’s Choice Article”. (2021)

Corso di laurea magistrale

• Electronic systems for mechatronics. A.A. 2019/20, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
• Electronic systems for mechatronics. A.A. 2020/21, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
• Challenge. A.A. 2018/19, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
• Challenge@PoliTo by Students - Artificial Intelligence: Shape the future. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

• Mazzia, Vittorio; Angarano, Simone; Salvetti, Francesco; Angelini, Federico; Chiaberge, ... (2022)
  Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition. In: PATTERN RECOGNITION, vol. 124. ISSN 0031-3203
  Contributo su Rivista
• Mazzia, Vittorio (2022)
  Machine Learning Algorithms and their Embedded Implementation for Service Robotics Applications. relatore: CHIABERGE, MARCELLO; CASU, MARIO ROBERTO; , 34. XXXIV Ciclo, P.: 232
  Doctoral Thesis
• Angarano, Simone; Salvetti, Francesco; Mazzia, Vittorio; Fantin, Giovanni; Gandini, ... (2022)
  Ultra-Low-Power Range Error Mitigation for Ultra-Wideband Precise Localization. In: Proceedings of the 2022 Computing Conference, London (UK), July 14-15, 2022, pp. 814-824. ISSN 2367-3370. ISBN: 978-3-031-10463-3
  Contributo in Atti di Convegno (Proceeding)
• Martini, Mauro; Mazzia, Vittorio; Khaliq, Aleem; Chiaberge, Marcello (2021)
  Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery. In: REMOTE SENSING, vol. 13. ISSN 2072-4292
  Contributo su Rivista
• Cerrato, Simone; Aghi, Diego; Mazzia, Vittorio; Salvetti, Francesco; Chiaberge, Marcello (2021)
  An Adaptive Row Crops Path Generator with Deep Learning Synergy. In: Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), Tokyo, Japan, 16-18 July 2021, pp. 6-12. ISBN: 978-1-6654-4069-1
  Contributo in Atti di Convegno (Proceeding)
• Martini, Mauro; Mazzia, Vittorio; Angarano, Simone; Gandini, Dario; Chiaberge, Marcello (2021)
  Local Planners with Deep Reinforcement Learning for Indoor Autonomous Navigation. In: 2021 I-RIM Conference, Roma (Italy), 08/10/2021, pp. 157-160. ISBN: 9788894580525
  Contributo in Atti di Convegno (Proceeding)
• Aghi, Diego; Cerrato, Simone; Mazzia, Vittorio; Chiaberge, Marcello (2021)
  Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 27 Sept.-1 Oct. 2021, pp. 3421-3428. ISBN: 978-1-6654-1714-3
  Contributo in Atti di Convegno (Proceeding)
• Angarano, Simone; Mazzia, Vittorio; Salvetti, Francesco; Fantin, Giovanni; Chiaberge, ... (2021)
  Robust ultra-wideband range error mitigation with deep learning at the edge. In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 102, pp. 104278-104286. ISSN 0952-1976
  Contributo su Rivista
• Mazzia, Vittorio; Salvetti, Francesco; Chiaberge, Marcello (2021)
  Efficient-CapsNet: capsule network with self-attention routing. In: SCIENTIFIC REPORTS, vol. 11. ISSN 2045-2322
  Contributo su Rivista
• Mazzia, Vittorio; Salvetti, Francesco; Aghi, Diego; Chiaberge, Marcello (2021)
  DeepWay: A Deep Learning waypoint estimator for global path generation. In: COMPUTERS AND ELECTRONICS IN AGRICULTURE, vol. 184. ISSN 0168-1699
  Contributo su Rivista
• Chiaberge, Marcello; Fantin, Giovanni; Salvetti, Francesco; Mazzia, Vittorio; Sutera, ... (2021)
  Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-Wideband. In: International Conference on Agents and Artificial Intelligence (2021), Vienna, 4 - 6 /02/2021, pp. 38-47. ISBN: 978-989-758-484-8
  Contributo in Atti di Convegno (Proceeding)
• Mazzia, Vittorio; Daneshgaran, Fred; Mondin, Marina (2020)
  Use of Deep Learning for Automatic Detection of Cracks in Tunnels. In: Progresses in Artificial Intelligence and Neural Systems / S.N., S.L., Springer, pp. 91-101. ISBN: 978-981-15-5092-8
  Contributo in Volume
• Mazzia, Vittorio; Khaliq, Aleem; Salvetti, Francesco; Chiaberge, Marcello (2020)
  Real-Time Apple Detection System using Embedded Systems with Hardware Accelerators: an Edge AI Application. In: IEEE ACCESS, vol. 8, pp. 9102-9114. ISSN 2169-3536
  Contributo su Rivista
• Aghi, Diego; Mazzia, Vittorio; Chiaberge, Marcello (2020)
  Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy. In: MACHINES, vol. 8. ISSN 2075-1702
  Contributo su Rivista
• Salvetti, Francesco; Mazzia, Vittorio; Khaliq, Aleem; Chiaberge, Marcello (2020)
  Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks. In: REMOTE SENSING, vol. 12. ISSN 2072-4292
  Contributo su Rivista
• Mazzia, Vittorio; Comba, Lorenzo; Khaliq, Aleem; Chiaberge, Marcello; Gay, Paolo (2020)
  UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture. In: SENSORS, vol. 20. ISSN 1424-8220
  Contributo su Rivista
• Aghi, Diego; Mazzia, Vittorio; Chiaberge, Marcello (2020)
  Autonomous Navigation in Vineyards with Deep Learning at the Edge. In: 29th International Conference on Robotics in Alpe-Adria Danube Region, Poitiers, France, June 2020, pp. 479-486. ISSN 2211-0984. ISBN: 978-3-030-48988-5
  Contributo in Atti di Convegno (Proceeding)
• Boschi, Anna; Salvetti, Francesco; Mazzia, Vittorio; Chiaberge, Marcello (2020)
  A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge. In: MACHINES, vol. 8, pp. 49-67. ISSN 2075-1702
  Contributo su Rivista
• Mazzia, Vittorio; Tartaglia, Angelo; Chiaberge, Marcello; Gandini, Dario (2019)
  Deep Learning Algorithms for Complex Pattern Recognition in Ultrasonic Sensors Arrays. In: Machine Learning, Optimization, and Data Science / S.N., S.L., Springer, pp. 24-35. ISBN: 978-3-030-37598-0
  Contributo in Volume