In this episode I talk to David Crawley founder of Ubiquity Robotics.
He will explain about the idea of using built robots for building more complex robotics products and applications. He will also explain about:
- What their robotics platform provides off-the-shelf, in terms of hardware and software
- Their own ROS distribution for Raspberry Pi
- Their already training deep learning network for recognizing common objects from the Raspberry Pi
- … and many more things
Selected quote from the interview:
To build a robotics platform for basic navigation on the street takes about two years and half a million dollars. But once you have that base, building applications on top of it is fast! […] For instance, the application of robot cocktail waiter was build by a single person in 6’5 hours.
David Crawley
Related links:
- Follow David Crawley on LinkedIn
- Ubiquity Robotics company
- Ubiquity robotics video demo showing several robot applications you can build using their robot Magni.
- Ubiquity Robotics github
- Home Brew Robotics club talk by David Crawley
- American dissabilities Act
- ROS distribution for Raspberry Pi 3 by Ubiquity Robotics
- Turtlebot 2 robot
- ROS localization packages using fiducials
- Raspberry Pi tutorial for publishing with a camera
- Move Basic navigation system from Ubiquity Robotics that simplifies the Move Base from ROS.
- Barista the robot, created using the principles described in this podcast
- From idea to robotics product in 3 weeks (online tutorial about how to create a robotics product based on robots made by third parties):
- ROS Discourse
- Object recognition based on deep neural networks
- The Robot Ignite Academy online academy that teaches you ROS in 5 days
- The ROS Developers Conference online conference (July 7th & 8th 2018)
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