Marcello Chiaberge is an Associate Professor of the Department of Electronics and Telecommunications at Politecnico di Torino (Turin, Italy). At the same university, he is also the Mechatronics Lab (LIM) Co-Director and Director and Principal Investigator of the Interdepartmental Center for Service Robotics (PIC4SeR). He has authored over 100 articles accepted in international conferences and journals and co-authored nine international patents. His research interests include the hardware implementation of neural networks and fuzzy systems and the design and implementation of reconfigurable real-time computing architectures. 

Matteo Matteucci is a full professor of the Department of Electronics, Information, and Bioengineering at Politecnico di Milano, Italy. He got a Ph.D. in Computer Engineering and Automation at the same university in 2003. His main research topics are pattern recognition, machine learning, machine perception, robotics, computer vision, and signal processing. His main research interest is developing, evaluating, and applying practical techniques for adaptation and learning to autonomous systems that interact with the physical world. He has co-authored more than 150 international scientific publications. He has been the principal investigator in national and international research projects on machine learning, autonomous robots, sensor fusion, and benchmarking of autonomous and intelligent systems.

Marco Piras is a full professor in Geomatics at Politecnico di Torino, Deputy of the Department in Environment, Land and Infrastructure Engineering at Politecnico, and Director of the second-level specialization master in Climate change at Politecnico di Torino. He is a member of the National Center for Agricultural Technologies (Agritech). He has been part of several scientific committees at national and international conferences, and he has organized several summer schools and scientific workshops. He teaches several geomatics, positioning, photogrammetry, remote sensing, and statistics courses. He is the author of more than 130 scientific papers and is involved in several national and international projects, even concerning smart farming and AI. 

Renato Ferrero is an Associate Professor of the Department of Control and Computer Engineering at Politecnico di Torino, Italy. His research interests concern ubiquitous computing, focusing on RFID systems and wireless sensor networks. He is involved in research activities and projects on precision farming concerning designing smart systems for crop monitoring and image processing to compute plant health indices. He is a member of the National Research Centre for Agricultural Technologies (Agritech). 

Karl Mason is a tenured Assistant Professor in the School of Computer Science at the University of Galway, Ireland. He is the Principal Investigator on multiple projects and leads a research group of 9 funded researchers in Galway. His research focuses on machine learning and encompasses a range of topics, such as neural networks, evolutionary computing, reinforcement learning, multi-agent systems, and swarm intelligence. He is also interested in the application of machine learning methods to solve problems related to renewable energy, smart homes, infrastructure planning, smart grid, robotics, and agriculture. 

Abdul Wahid is a Postdoctoral Researcher at the School of Computer Science, University of Galway, Ireland. Prior to his appointment at Galway, he held positions as a Research Engineer at the UHA, France, and a Postdoctoral Fellow in the INFRES department at Telecom Paris, IP Paris, France. His research interests focus on AI, ML, and their applications in various domains. Apart from his research activities, he is actively organizing several academic events. He is currently organizing a workshop at ECAI 2023 in Poland, a special track session at the RTIP2R 2023 at the University of Derby, UK, and a special track at the BESC 2023 in Cyprus. In addition, he is a guest editor for many journals and served as a PC member at many reputed conferences.

Simone Angarano is a Ph.D. student in Electrical, Electronics, and Communications Engineering and a member of the Interdepartmental Center for Service Robotics at Politecnico di Torino (PIC4SeR). At the same university, he achieved a Bachelor's Degree in Electronic Engineering in 2018 and a Master's Degree in Mechatronic Engineering in 2020. His research topic is efficient deep learning models for robot perception and control, particularly highlighting key aspects of real-world applications like generalization and robustness. 

Mauro Martini is a Ph.D. student in Electrical, Electronics, and Communication Engineering at Politecnico di Torino. He received from the Politecnico di Torino a Master's Degree cum laude in Mechatronic Engineering in 2020, with the thesis "Visual-based local motion planner with Deep Reinforcement Learning". He is now researching with the Interdepartmental Center for Service Robotics (PIC4SeR). His research interests currently involve machine learning for autonomous navigation in service robotics, focusing on perception and deep reinforcement learning based on planners.