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Global Advanced Process Control Market- Outlook Developments, Progress Factors, Top Companies, Research Method and Estimates To 2026

Global Advanced Process Control Market- Outlook Developments, Progress Factors, Top Companies, Research Method and Estimates To 2026
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Hardware Accelerators May Dramatically Improve Robot Response Times

ExtremeTech Hardware Accelerators May Dramatically Improve Robot Response Times By Joel Hruska on January 21, 2021 at 3:28 pm This site may earn affiliate commissions from the links on this page. Terms of use. (Credit: onurdongel/Getty Images)New work in robotics research at MIT suggests that long-term bottlenecks in robot responsiveness could be alleviated through the use of dedicated hardware accelerators. The research team also suggests it’s possible to develop a general methodology for programming robot responsiveness to create specific templates, which would then be deployed into various robot models. The researchers envision a combined hardware-software approach to the problem of motion planning.

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DVIDS - News - Cadets present research, capstone projects at IMECE

DVIDS - News - Cadets present research, capstone projects at IMECE
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MIT-Developed System Optimizes the Shape of Robots

MIT-Developed System Optimizes the Shape of Robots Written by AZoRoboticsDec 1 2020 So, you need a robot that climbs stairs. What shape should that robot be? Should it have two legs, like a person? Or six, like an ant? Choosing the right shape will be vital for your robot s ability to traverse a particular terrain. And it s impossible to build and test every potential form. But now an MIT-developed system makes it possible to simulate them and determine which design works best. You start by telling the system, called RoboGrammar, which robot parts are lying around your shop wheels, joints, etc. You also tell it what terrain your robot will need to navigate. And RoboGrammar does the rest, generating an optimized structure and control program for your robot.

Jie xuAllan zhaoHod lipsonAndrew spielbergWojciech matusikDaniela rusJosephine hughesMina konakoviArtificial intelligence laboratoryColumbia universityModel predictive controlஜிே ஐயூஆலன் ழோஹாட் லிப்சன்ஆண்ட்ரூ ஸ்பீல்பெர்க்டேனீலா ரஸ்