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MIT develops a new way to make chip sets for robots


MIT develops a new way to make chip sets for robots
Updated:
Updated:
January 28, 2021 13:50 IST
Robots perceiving stimuli and calculating a response needs a “boatload of computation,” which limits reaction time.
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MIT develops a new way to make chip sets for robots
  | Photo Credit: MIT
Robots perceiving stimuli and calculating a response needs a “boatload of computation,” which limits reaction time.
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MIT researchers have developed a new way of customising chip sets for robots. Called robomorphic computing , the method can speed up a robot’s response time and enable it to think faster. ....

Sabrina Neuman , Brian Plancher , Artificial Intelligence Laboratory , Harvard University , Artificial Intelligence , Robomorphic Computing , Design Methodology , Domain Specific Accelerators Parameterized , சப்ரினா நியூமன் , பிரையன் பிளான்ச்சர் , செயற்கை உளவுத்துறை ஆய்வகம் , ஹார்வர்ட் பல்கலைக்கழகம் , செயற்கை உளவுத்துறை , வடிவமைப்பு முறை ,

Designing customized


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Contemporary robots can move quickly. The motors are fast, and they re powerful, says Sabrina Neuman.
Yet in complex situations, like interactions with people, robots often don t move quickly. The hang up is what s going on in the robot s head, she adds.
Perceiving stimuli and calculating a response takes a boatload of computation, which limits reaction time, says Neuman, who recently graduated with a PhD from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Neuman has found a way to fight this mismatch between a robot s mind and body. The method, called robomorphic computing, uses a robot s physical layout and intended applications to generate a customized computer chip that minimizes the robot s response time. ....

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Designing customized "brains" for robots - ScienceBlog.com


Designing customized “brains” for robots
January 21, 2021MIT
A new system devises hardware architectures to hasten robots’ response time.
Contemporary robots can move quickly. “The motors are fast, and they’re powerful,” says Sabrina Neuman.
Yet in complex situations, like interactions with people, robots often don’t move quickly. “The hang up is what’s going on in the robot’s head,” she adds.
Perceiving stimuli and calculating a response takes a “boatload of computation,” which limits reaction time, says Neuman, who recently graduated with a PhD from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Neuman has found a way to fight this mismatch between a robot’s “mind” and body. The method, called robomorphic computing, uses a robot’s physical layout and intended applications to generate a customized computer chip that minimizes the robot’s response time. ....

United States , Harvard University , Thomas Bourgeat , Robin Deits , Edwin Sibley Webster , Thierry Tambe , Vijay Janapa Reddi , Sabrina Neuman , Brian Plancher , Srini Devadas , Artificial Intelligence Laboratory , Defense Advanced Research Projects Agency , Computing Research Agency , National Science Foundation , International Conference , Architectural Support , Programming Languages , Edwin Sibley Webster Professor , Electrical Engineering , Innovation Fellow , Boston Dynamics , Defense Advanced Research Projects , ஒன்றுபட்டது மாநிலங்களில் , ஹார்வர்ட் பல்கலைக்கழகம் , எட்வின் ஸிப்லீ வெப்ஸ்டர் , தியரி தம்பே ,