Kategoriearchiv: AI

My Best-friend ARTIBO

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Introducing Cubroid’s second robot project: ARTIBO! Cubroid originally launched in 2017 with its AI educational Coding Blocks and is back with a new robot for coders, non-coders, kids and adults all alike. Only having been showcased at trade fairs such as The International Consumer Electronics Show (CES) and The Mobile World Congress (MWC) so far, Cubroid will now make Artibo available to general consumers.

Currently robots trendy among those with interest in such technology. However, going forward, robots will have a huge influence on people’s daily lives as a whole. “We put our best effort forward to make everyone who is interested in robotics have an opportunity to easily enjoy this robot. That’s why being well-designed and functional is key in how Artibo was created” says CEO and Founder, Mark Shin.

Artibo is your very own AI best-friend, designed to make daily life that much more simple. An at-home assistant that is small enough to fit anywhere and also efficient enough to go anywhere you go.

Artibo comes with an AI block (which houses the camera, microphone, speaker and LED screen), a motor block, a connector block (to join the AI and motor block) and silicon wheels.

When all the pieces are connected, Artibo stands at approximately 97mm tall and weighs less than a pound (240g) – with the AI block weighing less than half a pound

With separate (but buildable) parts, you can separate the AI block and place it on your desk while you work or connect all the parts and have Artibo follow you from one room to the next. With Artibo, buying multiple to have one in every room is unnecessary.

The features you would like your Artibo to display are customizable from a list of features such as walkie-talkie, scheduler, music, voice recognition, and many more. Each feature having a corresponding display that is shown on the LED screen.

Keeping with the core of what Cubroid does, you can also code Artibo for even more personable interactions and functionality. Kids can also continue their coding education from coding with Cubroid Coding Block to now coding with Artibo.

On Kickstarter preorder of Artibo will be available from July 31st 2018 to September 30th 2018. With Super Early Bird prices starting as low as US$79. Artibo’s prices are set so low to give as many people as possible the opportunity to afford and experience such a robot. After achieving the set goal, Cubroid estimates manufacturing and delivery to be completed by the end of November 2018. We proudly introduce you to your own AI robot: Artibo!

https://www.kickstarter.com/projects/cubroid/my-best-friend-artibo

The Duckietown Foundation announces the AI Driving Olympics (AI-DO), a self-driving car competition to debut at NIPS 2018

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The Duckietown Foundation is excited to announce the The AI Driving Olympics, a new competition focused around AI for self-driving cars. The first edition of the AI Driving Olympics 2018 will take place December 7, 2018, at Neural Information Processing Systems (NIPS), the premiere machine learning conference, in Montréal. This is the first competition with real robots that will take place at a machine learning conference.

https://www.kickstarter.com/projects/163162211/duckietown-a-playful-road-to-learning-robotics-and?ref=dwrnb2

The competition will use the Duckietown platform, a miniature self-driving car platform used for autonomy education and research. The Duckietown project originated at MIT in 2016 and is now used by many institutions worldwide.

The AI Driving Olympics is presented in collaboration with 6 academic institutions: ETH Zürich (Switzerland), Université de Montréal (Canada), National Chiao Tung University (Taiwan), Toyota Technological Institute at Chicago (USA), Tsinghua University (China) and Georgia Tech (USA), as well as two industry co-organizers: nuTonomy (a self-driving car company) and Amazon Web Services (AWS).

About the competition: The competition comprises 4 challenges of increasing complexity: 1) Road following on an empty road; 2) Road following with obstacles; 3) Point to point navigation in a city network with other vehicles; and 4) Fleet planning for a full autonomous mobility on demand system.

Competitors will have access to a suite of professional development tools (simulators, logs, baseline implementations). Real environments called “Robotariums” will be remotely accessible for evaluation. The highest scoring entries in the robotariums will be run during the live event at NIPS 2018 to determine the overall winners.

Scientific goals: The competition aims at directing academic research towards the hard problems of embodied AI, such as modularity of learning processes, and learning in simulation while deploying in reality.  

Social goals: The competition also promotes the democratization of AI and robotics research by using an inexpensive platform, and offering a common infrastructure available through the use of remote testing facilities. Competitors can also build or acquire their own testing facility (Duckiebots and a Duckietowns), through either open-source DIY instructions, or as rewards obtained in our kickstarter campaign (https://www.kickstarter.com/projects/163162211/duckietown-a-playful-road-to-learning-robotics-and?ref=dwrnb2)