TJBot programmable robot
Easily build a programmable cardboard robot powered by IBM Watson
WEBCAST REPLAY: Watch the replay of the TJBot and Embodied Cognition Tech Talk, recorded on February 22, 2017.
Today’s connected devices require cognitive capabilities that can interact with other devices and their environment. More and more, “embodied cognition” is a prerequisite for technology apps and Internet of Things devices, where artificial intelligence is built into any connected objects and spaces. These cognitive capabilities need to be easy to provide, accessible, and scalable.
TTJ Bot is an example of that readily available cognitive capability. This easy-to-build DIY kit enables you to quickly create a programmable cardboard robot powered by Watson. Just download the design files and 3D-print or laser-cut TJBot. It’s a fun, open source way to learn how to program for the cognitive era.
Why should I contribute to TJBot?
TJBot is open source and we’d love to see what you can make with it. It’s a cardboard robot which you can also 3D print. It comes with an initial set of recipes (step-by-step instructions) to help you connect your TJBot to Watson cognitive services and bring him to life.
The recipes are based on Raspberry Pi. Use one of the starter recipes or create your own. If you have created your own recipe, we would love to include it as a featured recipe!
What technology problem will I help solve?
Artificial intelligence and machine learning are here, and they’re poised to disrupt not just the technology industry but every aspect of our lives. TJBot helps teach you how to embody AI. You’ll learn how to implement scalable, usable AI in a working device. Using Watson APIs and recipes, you’ll be on your way to creating devices that not only respond to your customer needs, but learn and anticipate future demands.
Check out ibm.biz/mytjbot to learn how to build your very own TJBot and use one of his recipes to bring him to life. TJBot is an open source platform — we look forward to your help in expanding that platform.