Andrea Protopapa

Research topic

My research interests are focused on learning for compliant robots, developing data-efficient Sim-to-Real transfer for soft robots and IRL methods (image-based and graph-based) for long-horizon tasks.

Tutors

• Giuseppe Bruno Averta
• Raffaello Camoriano
• Tatiana Tommasi

Research presentation

Poster

• Organizers’ Prize SOFA Award, 2023/11/14, International SOFA Symposium 2023, Paris, France https://www.sofa-framework.org/applications/plugins/reinforcement-learning-with-domain-randomization/ (2023)
• 1st Year PhD Best Poster Award, 2023/09/25, 9th SmartData@PoliTO Workshop, Loano, Italy (2023)

Master of Science

• Robot Learning. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Fundamentals of Artificial Intelligence, Machine and Deep Learning. A.A. 2025/26, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Machine learning and Deep learning. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Robot Learning. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Robot Learning. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning and Deep learning. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

Bachelor of Science

• Algoritmi e strutture dati. A.A. 2024/25, INGEGNERIA INFORMATICA. Collaboratore del corso
• Algoritmi e strutture dati. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso

• VANDAL - Visual and Multimodal Applied Learning Laboratory (DAUIN)

• Tiboni, Gabriele; Protopapa, Andrea; Tommasi, Tatiana; Averta, Giuseppe (2023)
  Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots. In: International conference on intelligent robots and systems (IROS), Detroit (USA), 01-05 October 2023, pp. 612-619. ISBN: 978-1-6654-9190-7
  Contributo in Atti di Convegno (Proceeding)