Our group pushes forward embodiment and bio-inspiration toward cognitive and social robots, autonomous and embodied AI. We investigate biological models for human-level cognition and interact with developmental psychologists and neuroscientists.
Neural architectures and brain models
Developmental, cognitive, affective / social robotics
Autonomous control for robots, drones and vehicles
HMI and models of physical and mental health conditions
Embodied, soft and bio-inspired robotics
Voir aussi dans «Research»
CELL Research Group
CELL is a multidisciplinary team working in the field of Electronics, Signal and Image Processing for the Modeling and Design of Reconfigurable, Communicating, Reliable and Intelligent Embedded Systems. Members of the team are experts in complementary scientific areas from Microelectronics to Computer-Vision and Digital Electronics. The team also gathers associated researchers from external institutions (APHP, Foreign Universities) whose expertises refer to the specific application domain of the research projects (biologists, physicians).
Main application domains are Health, IoT, Security, Autonomous Vehicle, Software Radio and Telecoms.
Information, Communication and Imaging Research Group
The ICI group’s research focus is on wireless communications, information theory, signal processing and imaging. The key application areas covered by the group's research output lie primarily on 5G/6G, IoT and machine learning for communications; coding and information theoretic security; networking and edge computing; imaging and modelization.
Multimedia, Indexing and Data Integration Group
The MIDI group works in the field of Big Data Management and Analytics, addressing topics that include integrating, mining, analyzing and querying large volumes of various types of data, going from structured and semi-structured data, to spatiotemporal data, text, image, video and 3D models. A particular accent is put on the design and use of Machine Learning techniques in contexts specific to data analysis and data processing problems, with a focus on the explainability and transparency of such algorithms. Applications include social media content and graph analytics, semantic web data integration and analysis, pattern detection in image, video and multimodal data, search engines for different types of data, knowledge extraction from data, data privacy, in application domains such as cultural heritage, security, opinion mining, health, etc.