SyRI (Robotic systems in interaction)
The SyRI team develops embedded systems that enhance the ability of mobile robots to act autonomously in complex open environments, in some cases in interaction with human operators, and in other cases in mutual interaction with other robots. SyRI’s flagship applications are mini-UAVs and autonomous vehicles.
Research topics
Autonomy of mobile robots interacting with humans
Objective: controlling an autonomous system navigating in a complex environment and finding ways to make the robot more autonomous of a human operator.
- Robust control of dynamic systems, control in the absence of a model or with a partial model
- Observation of state
- Multi-sensor localization
- Reactive planning
- Strategies for human-robot cooperation
- Decision-making based on imperfect information
Multimodal on-board perception
This research topic is about developing methods for processing data provided simultaneously by more than one on-board sensor, and creating a representation of the surroundings that can be used by mobile robots for autonomous navigation.
- New sensor technology for robot perception
- Map-aided multi-sensor fusion
- Scene analysis through machine learning using multimodal data and maps
- Modelling and propagating uncertainty
- Integrity of perception
Muti-robot systems in interaction
Developing methods of perception, navigation and control of multi-robot systems in interaction. This research topic builds on works begun as part of Labex MS2T.
- Cooperative perception and localization
- Enhanced perception based on distributed algorithms
- Taking account of communication constraints
- Robustness to changes of scale, and analysing emergent behaviours: a systems-of-systems approach