Welcome!

In short, intelligence, considered in what seems to be its original feature, is the faculty of manufacturing artificial objects, especially tools to make tools, and of indefinitely varying the manufacture.

— Henri​ ​Bergson​ ​(1859-1942)

 

AUCTUS is an Inria team in collaboration with ENSC and IMS. The general objective of the team is to design robotic assistance systems or collaborative robots for Humans at work, in particular in the industrial sector.

The increase of the physical and cognitive capacities of the Homo Faber through the development of tools knows a new golden age by the advent of the collaborative robotics coupled with the artificial intelligence. Man is able to share with a machine his movement, his motor intelligence, but also his decisions. The challenge is then to design the machine part of the cybernetic couple for the successful realization of a task, while preserving the man in his physical and cognitive integrity and in his capacity of adaptation and decision.

The robotics community still tends to separate the cognitive (HRI) and physical (pHRI) aspects of human/robot interaction. One of the main challenges is to characterize the task as well as mechanical, physiological and cognitive capacities of humans in the form of physical constraints or objectives for the design of cobotized workstations. This design is understood in a large sense: the choice of the robot’s architecture (cobot, exoskeleton, etc.), the dimensional design (human/robot workspace, trajectory calculation, etc.), the coupling mode (comanipulation, teleoperation, etc.) and control. The approach then requires the contributions of the human and social sciences to be considered in the same way as those of exact sciences. The topics considered are broad, ranging from cognitive sciences, ergonomics, human factors, biomechanics and robotics.

Scientific Axes

  • Analysis and modeling of behavior
    • Links between Human Sciences and Artificial Intelligence
    • Set analysis of postures, gestures and human movements
  • Operator / robot coupling
    • Optimizing the performance of an operator / robot couple
    • Mediation of perceptions of an operator / robot couple
  • Design of collaborative robots and robotic assistance systems
    • Architectural design
    • Control design
  • Methodological support: experiments and technological developments
    • Innovative sensors
    • Experiments

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