Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

Robobrain and the Knowledge Commons

DZone's Guide to

Robobrain and the Knowledge Commons

What if every new robot we built could automatically know what every previous robot had learned? Should there be a society of robots?

· Big Data Zone
Free Resource

Learn best practices according to DataOps. Download the free O'Reilly eBook on building a modern Big Data platform.

Collaboration between robots is something I’ve touched upon a few times, as researchers attempt to create a shared repository of knowledge that any robots attached to the database can instantly plug into.

For instance, an MIT team developed a team of robots that were capable of collaborating with one another in a bar type environment.  Researchers from the University of Maryland andBrown respectively aim to scale up this learning.

The researchers hypothesize that if 300 robots examine objects and share this with each other, it could be possible for 1 million objects to be ‘learned’ in just 11 days.

“By having robots share what they’ve learned, it’s possible to increase the speed of data collection by orders of magnitude,” they say.

Robotic Commons

The potential for this is clear, but what is less clear is whether this learning will be proprietary to a particular institution or make of robot, or whether it will be open for free use.

One project that is attempting to make such knowledge freely available is the Cornell led RoboBrain.  The venture, which has also attracted support from Stanford and Brown, aims to develop a framework by which robots can easily share their own knowledge with the cloud, and to then access the collective intelligence of others via the same platform.

This collective knowledge bank is achieved by harvesting knowledge from a range of sources, including symbols, shapes, natural language and motions.

These collective repositories of knowledge offer tremendous potential for rapid scale learning as researchers aren’t building the knowledge base for their robots from scratch each time.

This is especially powerful when researchers from divergent fields can pool their knowledge, thus making the whole much richer than its individual parts.

It will be fascinating to see how far this approach goes, especially as robotics becomes more of a commercial endeavor than an academic one.

Find the perfect platform for a scalable self-service model to manage Big Data workloads in the Cloud. Download the free O'Reilly eBook to learn more.

Topics:
robotics ,knowledge sharing ,collaboration

Published at DZone with permission of Adi Gaskell, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

THE DZONE NEWSLETTER

Dev Resources & Solutions Straight to Your Inbox

Thanks for subscribing!

Awesome! Check your inbox to verify your email so you can start receiving the latest in tech news and resources.

X

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}