Category: News

A paper accepted at *SEM (co-located with NAACL)

The paper “Measuring Frame Instance Relatedness” has been accepted at the 6th Joint Conference on Lexical and Computational Semantics (*SEM). *SEM 2018 will be co-located with NAACL 2018 in New Orleans, and it will take place June 5-6, 2018. *SEM brings together researchers interested in the semantics of natural languages and its computational modeling. More …

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New publication accepted ICRA-2017

The paper “Semantic Web-Mining  and Deep Vision for Lifelong Object Discovery” has been accepted at International Conference on Robotics and Automation (ICRA). ICRA is the flagship conference  of IEEE Robotics and Automation Society it will be held from May 29 to June 3, at Sands Expo and Convention Centre, Marina Bay Sands in Singapore. More …

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Invited lecture: Life long learning in computer and robot vision

Professor Barbara Caputo was invited by Royal Institute of Technology (KTH), Stockholm, Sweden to present the lecture “Life long learning in computer and robot vision” (January 25).

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Invited Talk: Building a default knowledge base of objects (and other stories of robots)

Valerio Basile will present the talk “Building a default knowledge base of objects (and other stories of robots)” at University of Turin (16/11/2016) and University of Bologna (25/11/2016).

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Two papers accepted at ECAI

Two publications of our team has been accepted in the 22nd European Conference on Artificial Intelligence (ECAI). Jay Young , Valerio Basile, Lars Kunze, Elena Cabrio, Nick Hawes. Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining. Valerio Basile, Elena Cabrio, Claudia Schon. KNEWS: Using Logical and Lexical Semantics to Extract …

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The ALOOF Project

ALOOF will enable robots to tap into the ever-growing amount of knowledge available on the Web, by learning from there about the meaning of previously unseen objects, expressed in a form that makes them applicable when acting in situated environments. By searching the Web, robots will be able to learn about new objects, their specific …

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