Trustworthy Autonomous Systems (TAS) @IDSIA USI-SUPSI
Latest news and events
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New REXASI-PRO paper finally published
The REXASI-PRO project paper addressing the robustness of the wheelchair-drone perception system has been finally published and made available online through the Springer digital library. The paper addresses the research and experimentation performed at IDSIA Autonomous Robotics lab by the TAS research group. Please find below the abstract, keywords, and citation information. Abstract: Safe road
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TechNexus white paper features REXASI-PRO
As part of a yearly series of workshops, the TechNexus Programme hosted FORECAST and STEADINESS during the HiPEAC 2025 conference in Barcelona. This drew together diverse expertise from academia, industry and policy for considering the technology bridging challenges at functional and system levels for complex and critical systems. The topic “Trustworthy Artificial Intelligence for Drone-Supported
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Workshop on Human-Centred Machine Learning
The Workshop on Human-Centred Machine Learning: Bridging Design, Development, and Social Impact, organized as part of the exploratory research program SUPSI Best4EthicalAI, led by Prof. Alessandro Facchini (TAS group member), will bring together researchers, professionals, and policymakers to explore how Machine Learning can be designed, developed, and implemented in a way that aligns with human values
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Upcoming workshop on artificial intelligence for railway applications
TAS is co-organizing and technically sponsoring the 6th International Workshop on “Artificial Intelligence for RAILwayS” (AI4RAILS’25), co-located with the 20th European Dependable Computing Conference, 8-11 April 2025, Lisbon, Portugal (EDCC 2025). Topics of the workshop include AI for railway safety, reliability, maintainability, and security, adversarial challenges, explainable and trustworthy AI in railway applications, and certification
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Best Paper Award at the NATO Symposium on Digital Transformation
We are proud to announce that Ardian Selmonaj and Alessandro Antonucci, senior researcher of TAS group at IDSIA USI-SUPSI, have been acknowledged with the Best Paper Award at the NATO Symposium on Digital Transformation. Their paper, titled ‘Explainability in Multi-Agent Reinforcement Learning for Air Combat Tactics’, was developed in collaboration with a team from the
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Dalle Molle Award Ceremony
Today the 1st prize of the Dalle Molle Award for the “Quality of Life” Label was assigned to the project named “Trustworthy Artificial Intelligence for Autonomous Wheelchairs” (F. Flammini, A. Antonucci, J. Guzzi, F. Corradini, C. Grigioni) during a ceremony that was held at Campus Est USI-SUPSI in Lugano. Please find attached some pictures taken
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Francesco Flammini ranked among world’s most influential scientists
Francesco Flammini, professor and leader of the Trustworthy Autonomous Systems (TAS) group at Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI), has been confirmed for year 2024 in the prestigious Stanford University World’s Top 2% Scientists list, both in the single year and whole career rankings. Stanford University has recently compiled and published the updated
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Paper accepted at EAI INTSYS 2024
We are glad to announce that the paper entitled “Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs against Environmental Factors” has been accepted for presentation at the workshop “Model-based analysis for cooperative transportation under uncertainty and threats” within the 8th EAI International Conference on Intelligent Transport Systems (INTSYS’24), to be held at the University of
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Talk on bias mitigation
TAS group members have organised an invited talk by Mateo Espinoza Zarlenga (University of Cambridge) on “Bias Mitigation in the Wild: Challenges and Opportunities”. The talk will be held on Wednesday 2 October 2024 in room D1.02 at 14:30. The event is co-organised with the Computer System Institute at USI Faculty of Informatics and is
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Cooperation between TAS and COSERITY Lab brings new paper
The cooperation through exchange of students and researchers between TAS (at IDSIA USI-SUPSI) and COSERITY Lab (at University Biomedical Campus of Rome) group members have led to results included in a recent publication on the security of autonomous systems. Please find below the abstract and citation information for the paper. Abstract. Recent developments in Artificial