This program develops AI systems and assistants with advanced capabilities for improved interaction with humans.

Researchers in Collaborative AI work on optimization techniques and other ways to reduce the complexity of problems that arise in decision making, system design and operational use in industrial processes.

Researchers in this theme also work on multimodal language as well as mobile robotics with physical interaction capabilities to perform complex tasks in a collaborative manner. They also focus on the development of methods for efficient and scalable anomaly detection and predictive maintenance.

the themes associated with the Collaborative AI program

  • Automated reasoning and decision making
  • Datas & anomaly
  • Language
  • Robotic & AI
  • Neurosciences & AI

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Nicolas Mansard

Christophe Merle