5%
OF ANNUAL REVENUE IN R&D
Expertise · RESEARCH & DEVELOPMENT
Incubating technology. Accelerating Time to Market.
The T&S Innovation Department is a dedicated R&D structure combining experimental platforms, applied AI, intelligent systems and industrial validation environments.
OUR APPROACH
An innovation model built around incubation
The Innovation Department operates as an integrated R&D structure designed to explore, validate and industrialise emerging technologies.
Our approach combines experimental platforms, software environments, AI capabilities and multidisciplinary teams working on operational industrial challenges. Technologies are developed and tested in real-world conditions before integration into client environments. The objective is to accelerate the transition from experimentation to operational deployment while maintaining a strong connection between innovation, industrial constraints and real usage conditions.
An environment designed for industrial innovation
Dedicated R&D team
Engineers, data scientists, roboticists and PhD students.
Experimental platforms
Three platforms in a 1,500m² facility near Strasbourg.
TRL-driven approach
Technologies validated up to TRL 7 before client integration.
R&D funding
Structure compatible with public R&D funding mechanisms (R&D tax credit, public grants).
1500m²
EXPERIMENTAL FACILITY
10
R&D PROJECTS AND CONTRIBUTION
Experimental platforms
Three experimental platforms,
one integrated program
Each platform combines dedicated equipment, software infrastructure and specialised expertise to validate technologies in operational environments.
PLATFORM 1
Industry 5.0
Smart manufacturing and operator assistance
Instrumented assembly line with AI-based inspection, process digitalisation and operator augmentation systems.
01
AI-powered visual quality control
Automated inspection using computer vision models to detect and classify surface defects on manufactured components.
02
Process digitalisation and MES
Digital integration of industrial processes through Manufacturing Execution System connectivity and real-time production data collection.
03
Predictive maintenance
Sensor-based monitoring, anomaly detection and failure prediction using the SPARQ Predictive platform.
04
Robotics and automaton
Robotization and automation of industrial production lines.
05
Operator assistance
Real-time gesture recognition, biomechanical analysis, projection-based guidance and
LLM-powered operator chatbot.
PLATFORM 2
Robotics
Mobile robots, perception and navigation
Inspection robot equipped with multi-sensor perception stacks for unstructured outdoor or industrial environments.
01
Autonomous navigation
Mapping, localisation and path planning for outdoor and industrial environments using ROS2 and SLAM algorithms.
02
Outdoor semantic perception
AI-based scene understanding for unstructured outdoor environments, with annotated datasets and semi-automatic labelling tools.
03
Embedded AI perception
Person detection, obstacle avoidance, anomaly localisation and scene description running on-board Jetson hardware.
04
Path tracking and post-processing
AI-based correction and optimisation of tracked trajectories using stereo vision and IMU data fusion.
05
Voice and LLM interaction
Hands-free robot control via natural language commands, using on-board and server-based LLM architectures.
PLATFORM 3
Software Defined Product
HIL test bench, sensor chain and real-time digital twin
Hardware-in-the-loop testing environment combining real-time simulation, sensor integration and digital twin capabilities.
01
Real-time motor control
FOC vector control, RPM and torque loops, PWM generation and current monitoring via dSPACE.
02
Digital twin
Dynamic motor model running in parallel with the physical system, comparing simulation and real behaviour in real time.
03
AI fault detection
Lightweight ML models detecting temperature anomalies, vibration drifts and current asymmetry in real time using SPARQ Predictive.
04
HIL and fault injection
Controlled fault injection for ISO 26262 validation, degraded mode testing and functional safety assessment.
05
OTA and SDV-ready updates
Dynamic parameter and control logic updates without stopping the motor, demonstrating software-defined flexibility.
Artificial Intelligence as a transversal layer
AI is embedded across all three platforms as a set of reusable building blocks, each validated in real experimental conditions before being deployed in client projects.
Computer vision
Object detection, semantic segmentation, 3D inspection, person tracking and scene understanding across all platforms.
Synthetic dataset generation
Automated generation of realistic, labelled training data from 3D models and CAD files, reducing annotation cost and bias.
LLM and NLP integration
Natural language interfaces for operator assistance and robot control, using both cloud and embedded LLM architectures.
Predictive maintenance AI
Anomaly detection, remaining useful life estimation and failure prediction integrated in the SPARQ Predictive platform.
Partner ecosystem
Three types of partnerships,
one integrated innovation model
The Innovation Department operates within a structured ecosystem combining academic research, institutional support and industrial co-development.
ACADEMIC
Research laboratories and universities
Joint R&D projects and PhD co-supervision with research laboratories, bridging fundamental research and high-TRL technology development.
Institutional
Public funding bodies and national programmes
Referencing with public funding bodies enables T&S to support industrial clients in accessing innovation funding, including tax credits and grants at regional and national level.
Industrial
Co-development and equipment integration for POC
Industrial partners contribute equipment, use cases and domain expertise. Technologies are developed on the Department's platforms then transferred to the partner's production environment.
Scientific output
Research validated through academic publication
The Innovation Department's work is anchored in scientific rigour, disseminated through peer-reviewed journals, international conferences and PhD dissertations.
01
PhD programs & CIFRE theses
- "Towards Industry 5.0: Design of an assistance system for optimising attentional resources and the sustainable inclusion of operators in the assembly process" — Julian Salazar, ICube, 2024 (ANRT)
- "Adaptive autonomous navigation in unstructured environments: Artificial intelligence and optimised decision-making for the traversability of autonomous ground vehicles" — Titouan Leost, DRIVE, 2025 (ANRT-AID)
Several active PhD programs co-supervised with research laboratories, covering autonomous mobility, off-road perception, AI and embedded systems.
02
Publications & conferences
SCIENTIFIC PUBLICATION
Collision-Aware Traversability Analysis for Autonomous Vehicles in the Context of Agricultural Robotics
SCIENTIFIC PUBLICATION
A Visualization for Comparative Analysis of Regression Models
Research results are regularly published in peer-reviewed journals and presented at international conferences in robotics, computer vision, AI and embedded systems.
Insights
Perspectives on industrial transformation.
Insights on automation, connected manufacturing, industrial operations and operational performance across manufacturing ecosystems.
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For companies
Frequently asked questions
An innovation platform combines software, equipment and experimental environments used to explore, validate and industrialise emerging technologies.
A software-defined product is a system where functionalities and behaviours are managed primarily through software, enabling continuous updates and adaptive capabilities.
AI is integrated across multiple platforms to support automation, intelligent perception, predictive analytics, operator assistance and autonomous systems.
Yes. The platforms are designed to support experimentation, validation and co-development initiatives in operational environments.
You have a technology challenge to solve?
Whether you are looking for a co-development partner, want to validate a technology on our platforms, or need support accessing public innovation funding, the Innovation Department team is available to discuss your project.
-> Co-development project
Bring your industrial use case. We build and validate the technology on our platforms, then transfer it to your environment.
-> Technology POC
Test a new technology in a controlled environment before committing to full-scale deployment.
-> Funded innovation programme
We help you structure and apply for CIR, BPI or regional grants to access public funding for your R&D project.
Let's discuss your project
Share your sector, project context and delivery constraints. Our teams will route your request to the most relevant experts.
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