ROS is the standard in Robotics for software development since 2013. It provides a set of libraries and tools for building robot and IoT applications. Robots, sensors and actuators manufacturers usually provides drivers ready to use that works under ROS, avoiding reimplementing software. Developers and researchers of state-of-the-art algorithms share their works by ROS packages that can be integrated in your projects, saving time and money. And it is all Open Source...
We provide advanced technology of Mobile Robotics for commercial and industrial applications: Perception, Navigation, Manipulation and Planning for a wide variety of robots. Complex applications are now affordable by applying our technology.
Our expertise in ROS can be also applied on technologies of autonomous vehicles. Sensors, Deep Learning and Artificial Intelligence are integrated for a succesfull applications in this area.
Beyond the enormous capabilities of today's aerial robots, we provide them with sensors and on-board computing capabilities for autonomous applications in GPS-denied environments.
We apply Deep Learning for perception and Machine Learning for behaviors in Robotics applications.
Augmented reality is a breakthrough technology that can be intergraded with robots and sensors to redefine the way we interact with them.
We advise companies in the adoption of ROS technology. Thanks to this technology, the development processes are optimized and it allows to address projects that involve advanced technologies.
We make available our expert team to develop customized applications based on ROS. Solutions provided are based on the most cutting edge robotic technologies.
Find out our daily researching work at Intelligent Robotics LAB website.
Introduction to ROS basic concepts:
• Instalation and components description
• Execution graphs
• Resources and documentation
• Robots and sensors with ROS
• Packages and third party software
Use of the transform system in ROS:
• Relation between coordinate frames
• Perception with TF
• Relation between spaces
• Design of TF solutions
Use of the manipulation system in ROS:
• Robot arms configuration
Sensory processing in ROS:
• LIDAR sensors
• Visual 2D perception + OpenCV
• Visual 3D perception + PCL
• Perception packages in ROS
Use of the navigating system in ROS:
• Mapping (Cartographer and Mapping)
• Autolocalization (AMCL)
• Navegation (Move Base)
The next ROS generation:
• Compilating sistem
• DDS with Fast-RTPS
Specialized Instructor in UAV
Former member of the ROS team
in Open Source Robotics Foundation
(Palo Alto, CA)
Doctor Engineer on Robotics
Lecturer at Universidad Rey Juan Carlos