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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,
Analytics for Learning with Machines – ALMA
ALMA (Analytics for Learning with Machines) will create a foundation for understanding, supporting, and evaluating collaboration quality between learners and Large Language Models (LLMs) in higher education. As generative Artificial Intelligence permeates learning practices, future professionals nee
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
Introduce Standards and Methods for Replication of Social Interaction Quality Research in Affective Computing – INSPIRE-bis
The emulation of human-like social interaction is a significant focus of recent developments in Affective Computing. Crucial to this aspect is the employment of Socially Interactive Agents (SIAs) designed to assist us in our daily lives. Users' acceptance of SIAs is enhanced when the technology is d
Automatic Sail: AI-Driven Optimization for Sustainable Maritime Navigation and Wind-Assisted Propulsion – AutoSail
Shipping accounts for 2.9% of global CO2 emissions, with a potential increase of 44% by 2050. To address this issue, wind-assisted propulsion solutions like Norsepower's rotor sails and Michelin's inflatable sails are being explored. However, there is limited research on real-time adaptive control s
Combining companion modelling with social-ecological system modelling for engaging stakeholders in the co-construction of sustainable water governance practices – CopeWater
As a result of climate change, but also of the increasing use of water resources and lands, an intensification of hydrological extremes and water resources shortage is expected, leading to increased scarcity of freshwater at a global scale, but also at a regional to local scale. This is particularly
AI augmented Digital Twin for knee surgery planning – AIKNEE
Digital Twins (DT) brings a new perspective for personalized medicine, especially in orthopedics for musculoskeletal assessment, injury prevention, or surgical planning. The KNEE-AI project focuses on the development of tools and methodologies to enhance state of the art digital twins, with the focu
Probabilistic and infinite dimensional control via optimization and kernels – PIVOINE
This project aims to control systems with high model complexity, emerging from physics (PDEs) or from uncertainty quantification (stochastic processes), or both. Motivation: A common denominator to the environmental crisis and the aritificial intelligence (AI) revolution lies in the need for safel
Leveraging External Data for Enhanced Understanding and Causal Attribution of Anomalies in Water Network Systems – LUCAS
This project seeks to leverage external data to represent, analyze, understand, and identify the causes of anomalies observed on water network systems. It aims to break with traditional approaches to problem analysis based on a single source, and to take advantage of independently designed database
AEM-EC - Reduced production costs – HyReCo
The planned project HyReCo will develop a cost-effective, robust open-source AEM cell designed for industrial mass production that can be implemented in the stack or system and used in a wide range of application scenarios. The main targets are the reduction of production costs for single components
