Développement d’un système amortisseur intégré dans le système de navigation inertiel d’un autopilote dédié à l’opération de drone léger

ARA Robotique se spécialise en contrôle et en navigation aérienne de drone. Le système de navigation utilise des capteurs MEMS (Micro Electro Mechanical Systems ) pour estimer en temps réel les états du drone. Cependant, ces capteurs sont affectés par les vibrations hautes fréquences qui proviennent du châssis de l’appareil. Dans le but de fiabiliser […]

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Wind Field Estimation, Exploitation and Guidance for Unmanned Aerial Vehicles

Unmanned aerial vehicles (UAVs) have become increasingly used in the fields of data collection, surveillance, and search and rescue missions. For many UAVs, knowledge of the instantaneous wind speed and direction and overall wind field are of interest, as this knowledge can help better control the position and orientation of the UAV in heavy wind. […]

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Tightly coupled visual-inertial-LI DAR SLAM for real time application

Since Amazon robotics expanded the use of drones to package deliveries to customers, drone applications have been expanded to many industries along with its ability to perform various tasks autonomously. The fundamental technology of drones’ autonomy comes from perceiving its surrounding, creating its own map based on onboard sensors and estimate its location within the […]

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3D RFM SLAM for UAVs Subject to Severe Vibration

The first step for any robot to achieve true autonomy is to create a map of its surroundings and localize itself within this map at the same time. This is popularly known as the Simultaneous Localization and Mapping (SLAM) problem. Although much theory has been developed over the years to solve the SLAM problem, researchers […]

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Weighted linear point-cloud registration for scan-matching in GPS-denied environments

The ability for an autonomous robot to create its own map based on onboard sensors and simultaneously, localize itself within this map is know as Simultaneous Localization and Mapping (SLAM). Although the theory behind SLAM has been well developed much work still needs to be done in realizing SLAM solutions that meet situation-specific real-world requirements. […]

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Guidance and Control of Hybrid Vertical Takeoff and Landing (VTOL) Unmanned Aerial Vehicles (UAVs) with Thrust Vectoring Capabilities

Quadrotors are one of the most popular choices for unmanned aerial vehicles (UAVs) in situations where fast disturbance rejection, vertical takeoff and landing (VTOL) capabilities, and maneuverability are required. However, the quadrotor is inherently underactuated, and as a result, it is impossible to independently control the orientation and position of the vehicle. One solution to […]

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Tightly-coupled Visual-Inertial-LiDAR SLAM

Since Amazon robotics expanded the use of drones to package deliveries to customers, drone applications have been expanded to many industries along with its ability to perform various tasks autonomously. The fundamental technology of drones’ autonomy comes from perceiving its surrounding, creating its own map based on onboard sensors and estimate its location within the […]

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Development of a precise and robust INS/GPS navigation system using low cost MEMS sensors dedicated to autonomous multirotor applications

ARA Robotique is a company specialized in the development of a state-of-art flight controller for light multirotor UAV. One of the critical subsystems of a flight controller is its navigation system which measures the position and the orientation of the vehicle which is then used to ensure the flight stability and to operate the UAV. […]

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