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Toward Proactive Intelligence: Environmental Contextual Information and Gesture Recognition for Characterizing Affordances in Human-System Interactions

ABG-127020 Thesis topic
2024-11-20 Public/private mixed funding
CESI LINEACT
- Bourgogne-Franche-Comté - France
Toward Proactive Intelligence: Environmental Contextual Information and Gesture Recognition for Characterizing Affordances in Human-System Interactions
  • Computer science
  • Robotics
Context-based object affordance, Object recognition, Gesture recognition/evaluation.

Topic description

Hello All,

 

We are proposing a PhD position in AI, Computer Vision & Robotics

Starting date

2025-01-02

Funding category

Public/private mixed funding

Funding further details

Presentation of host institution and host laboratory

CESI LINEACT

CESI LINEACT (UR 7527), the Digital Innovation Laboratory for Businesses and Learning in support of Territorial Competitiveness, anticipates and supports technological transformations in sectors and services related to industry and construction. CESI's historical ties with businesses are a determining factor in its research activities, leading to a focus on applied research in partnership with industry. A human-centered approach coupled with the use of technologies, as well as regional networking and links with education, have enabled cross-disciplinary research that centers on human needs and uses, addressing technological challenges through these contributions.

Its research is organized into two interdisciplinary scientific teams and two application domains:

  • Team 1, "Learning and Innovating," is primarily focused on Cognitive Sciences, Social Sciences, Management Sciences, Education Science, and Innovation Sciences. The main scientific objectives are understanding the effects of the environment, particularly instrumented situations with technical objects (platforms, prototyping workshops, immersive systems), on learning, creativity, and innovation processes.
  • Team 2, "Engineering and Digital Tools," is mainly focused on Digital Sciences and Engineering. Its main scientific objectives include modeling, simulation, optimization, and data analysis of cyber-physical systems. Research also covers decision-support tools and studies of human-system interactions, especially through digital twins coupled with virtual or augmented environments.

These two teams cross and develop their research in the two application domains of Industry of the Future and City of the Future, supported by research platforms, primarily the Rouen platform dedicated to the Factory of the Future and the Nanterre platform dedicated to the Factory and Building of the Future.

Candidate's profile

Scientific and Technical skills:

  • Proficiency in Python and C++.
  • Advanced written/oral communication.
  • Independence, rigor, and teamwork.

Relational Skills:

  • Be autonomous, with a sense of initiative and curiosity.
  • Ability to work in a team and maintain good interpersonal relationships.
  • Be meticulous and rigorous.
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