Andrea Eirale

Passionate about robotics and artificial intelligence, driven to create technologies able to make a meaningful and positive impact on people’s lives.

• Autonomous Navigation for Indoor Assistance
• Learning and Planning for Social Robot Navigation

ERC sectors

Master of Science

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

• Eirale, Andrea (2025)
  Learning and Planning for Social Robot Navigation. relatore: CHIABERGE, MARCELLO; , 37. XXXVII Ciclo, P.: 211
  Doctoral Thesis
• Gervino, Francesco; Eirale, Andrea; Chiaberge, Marcello; Sacco, Alessio; Marchetto, ... (2025)
  MARS: Multi-Agent Deep Reinforcement Learning for Complex Environment Exploration. In: 22nd IEEE Consumer Communications and Networking Conference, CCNC 2025, Las Vegas, NV (USA), 10-13 January 2025, pp. 1-6. ISBN: 979-8-3315-0805-0
  Contributo in Atti di Convegno (Proceeding)
• Eirale, Andrea; Martini, Mauro; Chiaberge, Marcello (2025)
  Human following and guidance by autonomous mobile robots: A comprehensive review. In: IEEE ACCESS. ISSN 2169-3536
  Contributo su Rivista
• Eirale, Andrea; Leonetti, Matteo; Chiaberge, Marcello (2024)
  Learning Social Cost Functions for Human-Aware Path Planning. In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi (UAE), 14-18 October 2024, pp. 5364-5371. ISBN: 979-8-3503-7770-5
  Contributo in Atti di Convegno (Proceeding)
• Martini, Mauro; Eirale, Andrea; Cerrato, Simone; Chiaberge, Marcello (2023)
  PIC4rl-gym: a ROS2 Modular Framework for Robots Autonomous Navigation with Deep Reinforcement Learning. In: 2023 3rd International Conference on Computer, Control and Robotics (ICCCR), Shanghai, China, 24-26 March 2023, pp. 198-202. ISBN: 978-1-6654-9212-6
  Contributo in Atti di Convegno (Proceeding)