CHROMA Cooperative and Human-aware Robot Navigation in Dynamic Environments
INRIA Grenoble & INSA Lyon CITI Lab.
https://team.inria.fr/chroma/en/
Resp. Olivier.Simonin@inria.fr
The overall objective of CHROMA is to address fundamental and open issues that lie at the intersection of the emerging research fields called “Human Centered Robotics” and “Multi-Robot Systems (MRS)”. Our goal is to design algorithms and develop models allowing mobile robots to navigate and operate in dynamic and human-populated environments. Chroma is involved in all decision aspects pertaining to (multi)robot navigation tasks, including perception and motion-planning. Our approach for addressing this challenge is to bring together probabilistic methods, planning techniques and multi-agent decision models. This is done in cooperation with other disciplines such as psycho-sociologists for the purpose of taking into account human models. Two main research themes of robotic navigation are addressed : i) Perception and situation awarness in human-populated environment, by focusing on bayesian perception and sensor fusion ii) Scaling-up single and multi-robot motion-planning, by combining uncertainty modeling, decentralized (swarm) models and multi-agent sequential decision making. The Chroma team is also concerned with applications and transfer of the scientific results. We work with industrial and start-up partners. Our main application domains concern autonomous vehicle driving (with Renault and Toyota), aerial robots for surveillance tasks and services robotics.
Keywords: Computational geometry Bayesian programming Automatic learning Automatized motions and actions Space-time reasoning Sensori-motor systems Biologic inspiration Robotics
![](https://multirobotsystems.org/sites/default/files/lab_pictures/multiturtle.jpg)
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