Project ID: STAI-CDT-2021-IC-24
Themes: AI Planning, Logic, Verification
Supervisor: Francesco Belardinelli
The growing societal impact of AI-based systems has brought with it a set of risks and concerns [1, 2].Indeed, unintended and harmful behaviours may emerge from the application of machine learning (ML) algorithms, including...
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Project ID: STAI-CDT-2021-IC-23
Themes: AI Planning, Logic, Verification
Supervisor: Francesco Belardinelli
The growing societal impact of AI-based systems has brought with it a set of risks and concerns [1, 2].Indeed, unintended and harmful behaviours may emerge from the application of machine learning (ML) algorithms, including...
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Project ID: STAI-CDT-2021-IC-22
Themes: AI Planning, Logic, Verification
Supervisor: Francesco Belardinelli
The growing societal impact of AI-based systems has brought with it a set of risks and concerns [1, 2].Indeed, unintended and harmful behaviours may emerge from the application of machine learning (ML) algorithms, including...
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Project ID: STAI-CDT-2021-IC-20
Themes: AI Planning, Logic, Verification
Supervisor: Dalal Alrajeh
AI Planning is concerned with producing plans that are guaranteed to achieve a robot’s goals, assuming the pre-specified assumptions about the environment in which it operates hold. However, no matter how detailed these...
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Project ID: STAI-CDT-2021-KCL-15
Themes: AI Planning, Verification
Supervisor: Kevin Lano
Machine learning (ML) approaches such as encoder-decoder networks and LSTM have been successfully used for numerous tasks involving translation or prediction of information (Otter et al, 2020). However, the knowledge...
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Project ID: STAI-CDT-2021-KCL-13
Themes: AI Planning, AI Provenance, Logic, Norms, Verification
Supervisor: Luca Vigano
Explanations can help all the stakeholders of AI systems and Cybersystems to make better choices. In particular, they can help human users to understand and trust the choices of autonomous systems or to interact in a safe...
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Project ID: STAI-CDT-2021-KCL-11
Themes: AI Planning
Supervisor: Andrew Coles
Autonomous systems such as robots may become another appliance found in our homes and workplaces. In order to have such systems helping humans to perform their tasks, they must be as autonomous as possible, to prevent...
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Project ID: STAI-CDT-2021-KCL-10
Themes: AI Planning
Supervisor: Oya Celiktutan
Robots are progressing out from research laboratories into human environments, motivated by addressing the societal challenges such as aging, loneliness, education and many more. All of such applications requires that...
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Project ID: STAI-CDT-2021-KCL-9
Themes: AI Planning
Supervisor: Matteo Leonetti
Service robots are expected to interact with users in a number of scenarios, from homes to offices and hospitals. Research in service robotics is constantly progressing towards generally more competent autonomous robots,...
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Project ID: STAI-CDT-2021-IC-15
Themes: AI Planning, Reasoning, Verification
Supervisor: Antonio Filieri
Adaptive cyber-physical systems rely on the composition and coordinated interaction of different decision-making procedures, each typically realized with specific AI methods. Cyber components capabilities and semantics are...
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Project ID: STAI-CDT-2021-IC-2
Themes: AI Planning, Logic
Supervisor: Alessandra Russo
Recent advances in deep reinforcement learning (DRL) have allowed computer programs to beat humans at complex games like Chess or Go years before the original projections. However, the SOTA in DRL misses out on some of the...
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Project ID: STAI-CDT-2021-KCL-3
Themes: AI Planning, Argumentation, Scheduling
Supervisor: Dimitrios Letsios
This project aims to contribute to the development of safe and trusted, artificially intelligent transportation in healthcare. The London Ambulance Service (LAS) operates more than 1100 ambulances to respond to medical...
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