Optimized Deep Learning models for Robot Perception and Control

Master of Science

• Electronic systems for mechatronics. A.A. 2021/22, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
• Electronic systems for mechatronics. A.A. 2022/23, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
• Electronic systems for mechatronics. A.A. 2024/25, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
• Electronics Fundamentals and Applications. A.A. 2022/23, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
• Electronics Fundamentals and Applications. A.A. 2024/25, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso

• Angarano, Simone (2025)
  Efficient and Robust Deep Learning for Robotics. relatore: CHIABERGE, MARCELLO; , 37. XXXVII Ciclo, P.: 356
  Doctoral Thesis
• Navone, Alessandro; Martini, Mauro; Ambrosio, Marco; Ostuni, Andrea; Angarano, Simone; ... (2025)
  GPS-free autonomous navigation in cluttered tree rows with deep semantic segmentation. In: ROBOTICS AND AUTONOMOUS SYSTEMS, vol. 183. ISSN 0921-8890
  Contributo su Rivista
• Navone, Alessandro; Romanelli, Fabrizio; Ambrosio, Marco; Martini, Mauro; Angarano, ... (2025)
  Lavender autonomous navigation with semantic segmentation at the edge. In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2023, Torino (Ita), September 18–22, 2023, pp. 280-291. ISSN 1865-0937. ISBN: 978-3-031-74633-8
  Contributo in Atti di Convegno (Proceeding)
• Angarano, Simone; Martini, Mauro; Navone, Alessandro; Chiaberge, Marcello (2024)
  Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Seattle, WA (USA), 17-18 June 2024, pp. 5450-5459. ISBN: 979-8-3503-6547-4
  Contributo in Atti di Convegno (Proceeding)
• Magli, E; Angarano, S.; Bassetti, S.; Bianchi, T.; Boccardo, P.; Bucci, S.; Chiaberge, ... (2024)
  A multi-service edge-AI architecture based on self-supervised learning. In: 75th International Astronautical Congress, Milan (Ita), 14-18 October 2024, pp. 1-9
  Contributo in Atti di Convegno (Proceeding)
• Cerrato, Simone; Mazzia, Vittorio; Salvetti, Francesco; Martini, Mauro; Angarano, ... (2024)
  A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops. In: IEEE ACCESS, vol. 12, pp. 138306-138318. ISSN 2169-3536
  Contributo su Rivista
• Angarano, Simone; Martini, Mauro; Salvetti, Francesco; Mazzia, Vittorio; Chiaberge, ... (2024)
  Back-to-Bones: Rediscovering the role of backbones in domain generalization. In: PATTERN RECOGNITION, vol. 156, pp. 1-16. ISSN 0031-3203
  Contributo su Rivista
• Marchionna, Luca; Pugliese, Giulio; Martini, Mauro; Angarano, Simone; Salvetti, ... (2023)
  Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System. In: SENSORS, vol. 32. ISSN 1424-8220
  Contributo su Rivista
• Navone, Alessandro; Martini, Mauro; Ostuni, Andrea; Angarano, Simone; Chiaberge, Marcello (2023)
  Autonomous Navigation in Rows of Trees and High Crops with Deep Semantic Segmentation. In: 2023 European Conference on Mobile Robots (ECMR), Coimbra, Portugal, 04-07 September 2023, pp. 1-6. ISBN: 979-8-3503-0704-7
  Contributo in Atti di Convegno (Proceeding)
• Angarano, Simone; Salvetti, Francesco; Martini, Mauro; Chiaberge, Marcello (2023)
  Generative Adversarial Super-Resolution at the edge with knowledge distillation. In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 123 B. ISSN 0952-1976
  Contributo su Rivista
• Salvetti, Francesco; Angarano, Simone; Martini, Mauro; Cerrato, Simone; Chiaberge, ... (2023)
  Waypoint Generation in Row-Based Crops with Deep Learning and Contrastive Clustering. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022, Grenoble (France), September 19–23, 2022, pp. 203-218. ISSN 1611-3349. ISBN: 978-3-031-26422-1
  Contributo in Atti di Convegno (Proceeding)
• Navone, Alessandro; Martini, Mauro; Angarano, Simone; Chiaberge, Marcello (2023)
  Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network. In: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-30 August 2023, pp. 1-6. ISBN: 979-8-3503-2069-5
  Contributo in Atti di Convegno (Proceeding)
• Martini, Mauro; Cerrato, Simone; Salvetti, Francesco; Angarano, Simone; Chiaberge, ... (2022)
  Position-agnostic autonomous navigation in vineyards with Deep Reinforcement Learning. In: 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), Mexico City (Mexico), August 20-24, 2022, pp. 477-484. ISSN 2161-8070. ISBN: 978-1-6654-9042-9
  Contributo in Atti di Convegno (Proceeding)
• 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)
• 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
• 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
• 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)