DARPA Makes Sure Our Robots Can Cook

February 1st, 2015

FAKE NEWS for the Zionist agenda

ROBOTS Susanne Posel ,Chief Editor Occupy Corporatism | The US Independent
January 31, 2015

Susanne.Posel-Headline.News.Official- university.maryland.darpa.baxter.cooking.youtube_occupycorporatism Researchers at the University of Maryland (UM) Mathematics of Sensing, Exploitation and Execution (MSEE) program funded by the Defense Advanced Research Projects Agency (DARPA) have given robots the ability to recognize objects and interpret actions taken on those objects in its visual field.

Using a series of YouTube videos on how to cook, these robots were able to “to recognize, grab and manipulate the correct kitchen utensil or object and perform the demonstrated task with high accuracy—without additional human input or programming.”

UM’s Baxter humanoid robot learned how to brush melted butter onto corn-on-the-cob.

In addition, these robots accumulated and share knowledge “with others” altering the function of current sensor systems to apply information the robot had no prior knowledge of.

Reza Ghanadan, MSEE director for the DARPA Defense Sciences Office (DSC) explained: “The MSEE program initially focused on sensing, which involves perception and understanding of what’s happening in a visual scene, not simply recognizing and identifying objects. We’ve now taken the next step to execution, where a robot processes visual cues through a manipulation action-grammar module and translates them into actions.”

Ghandan continued: “This system allows robots to continuously build on previous learning—such as types of objects and grasps associated with them—which could have a huge impact on teaching and training. Instead of the long and expensive process of programming code to teach robots to do tasks, this research opens the potential for robots to learn much faster, at much lower cost and, to the extent they are authorized to do so, share that knowledge with other robots. This learning-based approach is a significant step towards developing technologies that could have benefits in areas such as military repair and logistics.”

Earlier this year, researchers at the Massachusetts Institute of Technology (MIT) has developed an algorithm that is expected to enhance domestic robots with more precise abilities in identifying “objects in cluttered environments” such as the interior of a home.

Scientists at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT showed that “a system using an off-the-shelf algorithm to aggregate different perspectives can recognize four times as many objects as one that uses a single perspective, while reducing the number of misidentifications.”

According to the report, the algorithm used by the team aggregated “different perspectives” and was able to improve the robot’s ability to recognize “4 times as many objects as one deploys [in] a single perspective.”

Domestic robots are being developed and are slated to be part of our daily lives within the next decade.

For now there are many specialized “home assistant” droids we can purchase.

Budgee is a robot developed by 5 Elements Robotics (FER) that can is tasked with assisting human in need and the elderly by becoming “part of the family unit” and integrating into “our society and mindset”.
Futurebot presented FURo-i Home , a generalized domestic robot, that is shaped like a cone and can take control of almost any Internet-connected smart device.
For gardening, Droplet is the robotic sprinkler that uses smart technology to conserve water while maintaining landscaping and gardens.
Otus is a robot designed to make learning easy by utilizing iPad and Chromebook technology for educational purposes.
Meccano is a personal robot children that resembles the character Wall-E from the Disney film, that can be built using an “open source Robotic Building platform”.