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Experiencia en tratamiento de señales numéricas en estimaciones en tiempo real y tiempo limitado para guiar y controlar robots y sistemas dinámicos


Oferta Tecnológica
Un equipo de investigación francés especializado en ciencias informáticas ofrece experiencia técnica en tratamiento de señales numéricas en estimaciones en tiempo real y tiempo limitado para guiar y controlar robots y sistemas dinámicos. El equipo de investigación transfiere experiencia y resultados de investigación a compañías (start-ups, pymes y multinacionales) en campos tan diversos como sanidad, transporte, energía, comunicaciones, seguridad y protección de privacidad, ciudades inteligentes y fábricas del futuro. Se buscan socios industriales y académicos con el fin de establecer acuerdos de investigación o cooperación técnica y participar en proyectos del programa H2020.


Expertise in numerical signals treatment in real-time and finite-time estimates for the piloting and control of robots and dynamic systems
A research team dedicated to computational sciences offers its technical expertise in numerical signals treatment in real-time and finite-time estimates for the piloting and control of robots and dynamic systems. It offers to industry and academia a collaboration under a research or a technical cooperation agreement. It is also interested in collaborations under H2020 projects.
The research team is part of a R-Y-D center dedicated to computational sciences. The Institute is organized in project teams bringing together researchers with complementary skills to focus on specific scientific projects. With this open, agile model, it is able to explore original approaches with its partners in industry and academia. It transfers expertise and research results to companies (startups, SMEs and major multinationals) in fields as diverse as healthcare, transport, energy, communications, security and privacy protection, smart cities and the factory of the future.

In this line, the research team focuses on non-asymptotic estimation for on-line systems.

For engineers, a wide variety of information cannot be directly obtained through measurements. Some parameters (constants of an electrical actuator, delay in a transmission, etc.) or internal variables (robot´s posture, torques applied to a robot, localization of a mobile robot, etc.) are unknown or unmeasured. In addition, usually the signals from sensors are distorted and tainted by measurement noises. In order to simulate, to control or to supervise processes, and to extract information conveyed by the signals, one has to estimate parameters or variables.
Estimation techniques are, under various guises, present in many parts of control, signal processing and applied mathematics. Such an important area gave rise to a huge international literature.

From a general point of view, the performance of an estimation algorithm can be characterized by three indicators:
- the computation time - the time needed to obtain the estimation
- the algorithm complexity - the easiness of design and implementation
- the robustness - the estimation algorithms should exhibit as much as possible robustness with respect to a large class of measurement noises, parameter uncertainties, discretization steps and other issues of numerical implementation.

Within the very wide area of estimation, the French research team addresses 3 particular theoretical challenges:
- design annihilators for some general class of perturbations;
- estimate on-line the derivatives of a signal;
- control without sophisticated models.

Application fields for this development are numerous: today, the team is working on the control of NCS (Networked Control Systems, including Wireless Networks of Sensors and Robots for the Internet of Things (IoT)), as well as biological systems for water quality monitoring, or mechanics (very high precision systems for micro or nano-machining, for example). Its ´´model-free control´´ also attracts various industrial contracts.

The French research team offers to collaborate under research or technical cooperation agreements with industry and academia.

It is also interested in joining existing consortia in EU projects including H2020 projects.
Advantages and Innovations:
- Joint project team of distinguished scientists from several specialized science institutions
- Part of a collaborative research program with innovative SMEs enhancing technology transfer
- Experience in funding projects (FP7, H2020)
- Experience working with the industry - from startups to multinationals
- Real time signal processing possible : extraction of information conveyed by signals from sensors (getting rid of measurements noises and distortions...) while the application is running
- Piloting and control of robots and dynamic systems with finite-time estimation
Stage of Development:
Under development/lab tested

Partner sought

Type and Role of Partner Sought:
Partners can be from the industry, ranging from startups to multinationals, as well as from academia active in the environment, the health, the aeronautics or the security/logistics industries.

They may have projects in the following fields:
- Networked robots: related to the Internet of Things (IoT) covering WSNR (Wireless Sensor and Robot Networks)
- Nano/macro machining: very high precision systems for micro or nano-machining, fluid flow control, etc.
- Ecological monitoring, modelling, estimation and identification of biological systems, etc.
- Health monitoring through wearables sensors
- Teleoperation of machines/robots

The team is also interested in collaborating under H2020 projects where it can have added value.

The French research group offers to collaborate under technical or research cooperation agreements.


Type and Size of Client:
R&D Institution
Already Engaged in Trans-National Cooperation:
Languages Spoken:


Technology Keywords:
01001001 Automation, Robotics Control Systems
01003013 Information Technology/Informatics
01003014 Internet Technologies/Communication (Wireless, Bluetooth)
02002017 Micromecanizado, nanomecanizado