Project Fields

Our (international) community mainly works on six fields inside Robotics and Computer Vision:

Robot Programming Tools

Robot Programming Tools

Several development areas: robot programming tools, learning robotics, drones, SLAM algorithms, DeepLearning. All of them are open for collaboration.

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Robotics Education and Games

Robotics Education & Games

RoboticsAcademy is an open source collection of exercises to learn robotics in a practical way. Programmed in Python, the Gazebo simulator and the ROS framework are used.

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Deep Learning

Deep Learning

Development areas: evaluation of deep learning detection and segmentation models, dataset creation, object detection and hardware customization with neural FPGAs.

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FPGAs in robotics

FPGAs in robotics

Neural FPGA project goal is to produce custom hardware able to do inference over generic neural networks. In order to test our hardware designs we rely on hardware simulations and FPGAs.

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Visual Slam

Visual Slam

VisualSLAM uses computer vision to locate a 3D camera with 6 degrees of freedom inside a unknown environment and, at the same time, create a map of this environment.

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Drones

Drones

The new Hardware Abstraction Layer (HAL) for working in robotic applications for Unmanned Aerial Vehicles (UAVs) in JdeRobot is based on using ROS/Gazebo, PX4 and MavROS.

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Previous project fields