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	Walter Brescia
	Eng, PhD Student

Contacts

C3Lab, Dipartimento di Ingegneria Elettrica e dell'Informazione (DEI), Politecnico di Bari, ITALY

Lab: +39 080 596 3851

Email: walter.brescia@poliba.it

LinkedIn: https://www.linkedin.com/in/walter-brescia-8354b427b/

Orc ID https://orcid.org/0009-0000-9943-3727

Short CV

Walter Brescia graduated cum laude in Computer Engineering from Politecnico di Bari in December 2020, with a thesis titled "A Deep Reinforcement Learning Approach for Autonomous Mobile Robots".

His research spans multiple areas, including control strategies for industrial autonomous vehicles, reinforcement learning and machine learning for robotics. He has presented his works at international conferences such as IFAC WC 2023, IEEE MED 2023, and ACM MMSys.

Walter Brescia is a member of the Control Engineering and Computer Science Laboratory (C3Lab) at Politecnico di Bari, where he collaborates on projects related to reinforcement learning and robotics.

Research topics

• Reinforcement Learning
• Robotics

Publications

2024

• Nunzio Barone, Walter Brescia, Saverio Mascolo, Luca De Cicco
  APEIRON: a Multimodal Drone Dataset Bridging Perception and Network Data in Outdoor Environments
  Proc. of ACM MMSys 2024, Bari, Italy, 15-18 April 2024 (PDF)

• Walter Brescia, Pedro Gomes, Laura Toni, Saverio Mascolo, Luca De Cicco
  MilliNoise: a Millimeter-wave Radar Sparse Point Cloud Dataset in Indoor Scenarios
  Proc. of ACM MMSys 2024, Bari, Italy, 15-18 April 2024 (PDF)

2023

• Walter Brescia, Giuseppe Roberto, Vito Andrea Racanelli, Saverio Mascolo, Luca De Cicco
  Point2Depth: a GAN-based Contrastive Learning Approach for mmWave Point Clouds to Depth Images Transformation
  Proc. 31st Mediterranean Conference on Control and Automation (MED2023), Limassol, Cyprus, June 26 – 29, 2023 (PDF)

• Walter Brescia, Antonio Maci, Saverio Mascolo, Luca De Cicco
  Safe Reinforcement Learning for Autonomous Navigation of a Driveable Vertical Mast Lift
  Proc. 22nd World Congress of the International Federation of Automatic Control, Yokohama, Japan, July 2023 (PDF)

2022

• Walter Brescia, Luca De Cicco, Saverio Mascolo
  Sample-Efficient Reinforcement Learning for Pose Regulation of a Mobile Robot
  Proc. 11th International Conference on Control, Automation and Information Sciences (ICCAIS 2022), Hanoi, Vietnam, nov. 2022 (PDF)