Program

Plenary Talk

Chair: Stefania Monica, UNIMORE

Silvia Rossi, AI and Enabling Technologies for Social Robots

Abstract
Some applications of robots within domestic and working environments are expected to become a significant part of our lives in the not-too-distant future. In the last decade, the service robotics community has focused on developing skills and capabilities to enable robots to autonomously perform tasks on behalf of users and simulate human-like intelligence in machines. Nowadays, robots can plan, navigate, manipulate objects, and reason about the properties of their environment. In this talk, I will discuss how AI is contributing to the development of such effective robots. I’ll particularly focus on socially assistive robots (SAR), which are designed to interact with people naturally and personally through verbal, non-verbal, or affective modalities, with the main purpose of improving the standard of living in modern society through social interactions. I will discuss open challenges related to the adoption of such technology in real-home environments, such as the possibility of obtaining continuous situational awareness from ambient devices, the cost-effectiveness of the proposed solutions, the flexibility in personalization of robot plans and actions, as well as their acceptance in everyday life. The possible trade-offs between the robot’s performance in accomplishing its goals and consideration of the social environment, in terms of human safety, acceptability, legibility, transparency, and trust, will play a central role in the mature development of service and personal robots and favor a significant social impact.

Biography
Silvia Rossi is an associate professor at the Department of Electrical Engineering and Information Technologies, University of Naples Federico II, where she is the scientific director of the PRISCA Lab (Projects of Intelligent Robotics and Advanced Cognitive Systems – https://www.prisca.unina.it). She received the M.Sc. degree in Physics from the University of Naples Federico II, Italy, in 2001, and the Ph.D. in Information and Communication Technologies from the University of Trento, Italy, in 2006. She is an Associate Editor for IEEE Robotics and Automation Letters (RA-L), the International Journal of Social Robotics, Pattern Recognition Letters, and for Intelligent Service Robotics journal. Prof. Rossi has been involved in several EU and non-EU projects. She is currently the principal investigator and coordinator of the MSCA-ITN-2020 PERSEO (European Training Network on Personalized Robotics as Service Oriented applications), PI of the HORIZON-TMA-MSCA-DN project TRAIL (TRAnsparent, InterpretabLe Robots), PI of the CHIST-ERA IV project COHERENT (Collaborative HiErarchical Robotic ExplaNaTions), and Coordinator of the national PRIN project ADVISOR (ADaptiVe legIble robotS for trustwORthy health coaching). She was the general chair of RO-MAN 2020 and RO-MAN 2022 and she is in the program committee of several international conferences on human–robot interaction and artificial intelligence. Her research interests include Socially Assistive Robotics, Human-Robot Interaction, Cognitive Architectures, and User Profiling and Recommender Systems. Her main research activities aim at the investigation of computational approaches for autonomous agents’ behaviors able to interact and support people by extracting meaningful information to model the user and to adapt the agent behavior. She published more than 180 papers in international journals, books, and conferences.

Session 1 – Room Manodori

Chair: Angelo Ferrando

• Santoro, Federico Fausto; Santoro, Corrado; Russo, Miriana; Gallina, Matteo; Recca, Marco; Tudisco, Alessio,
  Smart IoT System for Real-Time Worker Safety Monitoring in Dead Zones
• Dallospedale, Simone; Leoni, Mattia Alex; Monica, Stefania; Bergenti, Federico,
  A Method for 3D Indoor Positioning Based on the Honey Badger Algorithm
• Comai, Sara; Fugini, Mariagrazia; Gusmeroli, Sergio; Salice, Fabio,
  An Approach to Cooperative Human-Robot Teaming in Smart Agriculture

Session 2 – Room Manodori

Chair: Paolo Mori

• Felicioli, Claudio; Tortola, Domenico; Canciani, Andrea; Severino, Fabio,
  Scalable Data Notarization Leveraging Hybrid DLTs
• Calvagna, Andrea; Tramontana, Emiliano; Thakshnamurty, Selvakumar,
  Leveraging Blockchains for Decentralized Emergency Services Management
• Marcos Solis, Fabiola; Pomares Hernandez, Saul Eduardo; Pérez Cruz, José Roberto; Rodriguez, Lil M,
  Towards asynchronous conflict resolution through the concurrency patterns abstraction in DAG-based blockchains

Session 3 – Room D0.2

Chair: Jorge A. Larracoechea

• Rahimi, Alireza; Cabri, Giacomo; Ferrando, Angelo,
  Implementation of the Digital Twin in Water 4.0
• Alderighi, Marco; Baroglio, Cristina; Chiesa, Mario; Ciano, Tiziana; Feder, Christophe; Figini, Valeria; Marengo, Elisa; Tedeschi, Stefano,
  Towards a Network of Co-working Spaces for Social Innovation in Mountain Areas
• Tocchetti, Andrea; Brusadelli, Stefano; Fugini, Mariagrazia,
  Detecting Social Interaction

Session 4 – Room Manodori

Chair: Fabiola Marcos Solis

• De Salve, Andrea; Di Francesco Maesa, Damiano; Mori, Paolo; Piva, Giulio; Ricci, Laura,
  Integrating Self Sovereign Identity in XACML: the MERGE Approach
• Murino, Stefano; Ferrando, Angelo; Cabri, Giacomo,
  RVElastic: a Runtime Verification Framework for Microservice Systems
• Garfatta, Ikram; Klai, Kaïs; Gaaloul, Walid,
  Integrating Business Process Context into Solidity-to-CPN Formal Verification

Session 5 – Room D0.2

Chair: Stefano Tedeschi

• Hadjidimitriou, Natalia; Lippi, Marco; Mamei, Marco; Nastro, Raffaele; Koch, Thorsten,
  Short-Term Forecasting of Energy Consumption and Production in Local Energy Communities
• Koné, Bamory AT; Grati, Rima; BOUAZIZ, Bassem; Boukadi, Khouloud,
  Auto-encoding multispectral data for leaf nitrogen content estimation
• Larracoechea, Jorge Andrés; Ilarri, Sergio; Roose, Philippe,
  RADIANCE: A CASE Tool For Green Software Design

Plenary Talk – Room Manodori

Chair: Giacomo Cabri, UNIMORE

Yenumula Reddy, Beyond GPT – Knowledge Advantage Machines

Abstract
The term “Artificial Intelligence” was coined by John McCarthy in 1956 to attract more attention to the planned Computer Science Conference at Dartmouth. Ever since, the society expected someday machines will do the manual labor and thinking for us and we will live in a society of leisure surrounded by unlimited number of “Machine-Servants.” Even after 68 years, we have not realized that Utopian Society. We may be closer than ever, but we are not there, and may be never. If we examine the history of science and technology, we will realize mere invention of a technology will not automatically improve the society. Machines that can do what we do have to do must be invented before the promise of the inventions could be fully realized. Invention of steam engine did not automatically benefit farmers until machines like tractor and harvester were developed. Invention of electricity automatically impact the society until the lightbulb, motors, etc. were developed. Recent developments in Generative AI and the possibility of developing the Artificially General Intelligence (AGI) has led to wild speculations the future of the society. In this talk I will discuss the concept of Knowledge Advantage and how it could be exploited by Knowledge Workers using Personal Knowledge Advantage Machines that are within reach.

Biography
Ramana Reddy is a professor of Computer Science at West Virginia University (WVU). He created the first AI Lab in 1981 which gave rise to two successful start-up companies acquired by Fortune 100 companies. His team at the AI Lab and later at the DARPA funded Concurrent Engineering Research Center (CERC) demonstrated how AI could be used in designing complex industrial products. Later, under the DARPA Dual Use Technology Initiative, in collaboration with the National Library of Medicine, CERC demonstrated the first Web-Based Electronic Medical Record – even before Web Browsers were commonplace. Professor Reddy is now focused on creating a framework for building Knowledge Advantage Machines. He is also involved in realizing Healthy Longevity through exploitation of Robotics and Knowledge Advantage.

Session 6 – Room Manodori

Chair: Claudio Felicioli

• Fabio, Sartori; Savi, Marco; Tarrini, Gaia; Talpini, Jacopo,
  Towards a Knowledge Diversity Notion to Identify Intrusions in Industrial Contexts
• Zambonelli, Franco; Monica, Stefania; Mariani, Stefano; Bergenti, Federico,
  Exploting Pheromones as a Spatial Reputation Mechanism to Promote Cooperation
• Iben Nasr, Latifa; Masmoudi, Abir; Hadrich Belguith, Lamia,
  Dimensional Emotion Annotation for Spontaneous Tunisian Dialect Speech

Social Dinner

Ristorante Il Pozzo, Viale A. Allegri 7, Reggio Emilia

Session 7 – Room Manodori

Chair: Federico Bergenti

• Martinelli, Matteo; Pietri, Marcello; Rossini, Enrico; Picone, Marco; Mamei, Marco,
  Digital Twin Driven Collaboration in Industry 5.0
• Araújo, Patrick; Haddadi, Seyed; Santos, Fillipe; Reis, Marcelo; Cesar Dos Reis, Julio,
  Topic Modeling Influence in Sentiment Analysis from User-generated Product Reviews
• Di Stefano, Antonella; Gollo, Massimo; Morana, Giovanni,
  An SLA-driven, AI-based QoS Manager for controlling application performance on Edge Cloud Continuum

Session 8 – Room D0.2

Chair: Alireza Rahimi

• Varriano, Giulia; Correra, Simona,
  Preventing Epilepsy: a case study into Radiomics and pre-processing efficacy
• Correra, Simona,
  Identifying Ocular Diseases through Image Processing: Pattern Matching on Single Fundus Images
• Miranda, Nelson; Botega, Leonardo; Ferreira, Allan; Peres, Reinaldo; Moreira, Dilvan,
  Improving Medication Identification Accuracy and Regulatory Compliance through NLP and Ontologies: An Analysis of Otorhinolaryngology Prescriptions

Session 9 – Room Manodori

Chair: Simona Correra

• Mercaldo, Francesco; Santone, Antonella; Martinelli, Fabio,
  On the Adoption of Counterexample for Classification Task Explainability
• Marletta, Daniele; Midolo, Alessandro; Tramontana, Emiliano,
  Automatic Land Use and Land Cover Classification by Means of Characterising Colours