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
Control, Planning and Decision-making

This research axis aims to ensure the safe navigation of autonomous mobile robots in dynamic and uncertain environments, under constraints. It is structured around three main and complementary components addressing control, trajectory planning, and decision-making.
Perception, Data Fusion, and State Estimation

Data fusion methods for perception and localization must account for heterogeneous, asynchronous sensors producing imperfect data. Building on previous work, we investigate various uncertainty representation frameworks (probabilistic, evidential, and bounded-error approaches) to fuse heterogeneous information from multiple onboard sensors or digital maps.
Our main objective within this axis is to leverage data fusion to estimate system states for use in control architectures. This research area is structured around two complementary components:
- Equipping systems with perception and scene understanding capabilities
- Data fusion for localization and state estimation
Robot cooperation and human-robot interaction

This axis focuses on cooperation between autonomous robotic systems and human interaction in complex environments. Research activities address collaborative perception, localization, control, and distributed decision-making for robot fleets, autonomous vehicles, and connected systems. They also investigate human behavior analysis and the design of context-aware multimodal interactions.
Team members
Projects
Selected publications 2025
CONTACTS
Head | Pedro Castillo
Tél : 03 44 23 46 17
Mail : pedro.castillo@hds.utc.fr
Deputy head | Reine Talj
Tél : 03 44 23 46 31
Mail : reine.talj@hds.utc.fr




