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Landslides and Climate Change in highly Sensible Environments: Seismology, Earth Observation and Artificial Intelligence – HighLand
Landslides represent a major hazard in mountainous and high-latitude regions, where the effects of climate change are particularly pronounced. Glacier retreat, permafrost degradation, increased precipitation, and snowmelt profoundly affect slope stability and increase the likelihood of gravitational
Large Language Model Agent for Mobility Reasoning and Synthesis – MobAgent
The proliferation of time-stamped and geo-tagged human mobility data from sources has immense potential for applications in transportation planning, travel behavior analysis, disease monitoring, and intelligent urban management. However, releasing large-scale mobility datasets for public use is hind
Large-scale Optimization of Product Flows – LOPF
The international market of Rungis is one of the most sophisticated market places in the world from an operational perspective. Over a million different food products circulate through this incredible platform: 2.82 million tonnes of fresh produce pass through the market each year, close to of 9 bil
Large-scale coin die studies with artificial intelligence – STUDIES
In the domain of numismatics and ancient economy, there is a long expressed and large expectation to estimate the volumes of produced coinage. Study of coin-finds and hoards not being reliable, die studies are the best way to understand the mint outputs and therefore the relation of coinage to Polit
Law Versioning: semantical and executable – LaVerSE
Versioning system — computer programs that allow to work with different versions of the same document — have seen a lot of recent work, both theoretical and practical. The LaVerSE project aims at creating a versioning system for legal texts. Indeed, legal texts have two peculiar features: they are h
Learning And Reasoning for Deciding Optimally using Numerical and Symbolic information – LARDONS
The goals of the project are of fundamental nature. We aim at providing methods bridging the gap between series of work, some of which have considered the probabilistic aspects of decision problems, while others have considered the symbolic aspects. What is at stake here is application domains like
Learning Cyclotron – LeCycl
The aim of this project is to augment and amplify human intelligence by artificial intelligence. In particular, we propose and develop Learning Cyclotron (LeCycl), a framework which monitors and actuates their learning processes. The cyclotron of LeCycl is a framework in which learners acquire know
Learning Generalizable 3D-based Robotic Manipulation Policies – 3D-GEM
Robotic manipulation in unstructured environments is a long-term goal, with the potential for significant societal and economic impacts such as in manufacturing and healthcare. However, current approaches suffer from significant limitations in generalization to novel environments, objects and tasks,
Learning Intelligible Task Models for Cobots Programming – Prog4Yu
The ambition of cobotics (or collaborative robotics) in industrial environments is to «get the industrial robot out of its protective cage« to work close to human operators on the same workstation. Man and Robot work safely together, side-by-side, on tasks combining physical effort and human experti
Learning Reasoning, Memory and Behavior – REMEMBER
We use large scale machine learning (ML) address problems in robotics: - Learning of spatial reasoning - Integration of classical planning and learned planning - Integration of physics into ML - Sim2real transfer: large-scale learning in simulation and deployment to real physical environments -
