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The Algorithm Helping Soft Robots Understand Their Surroundings

Thought LeadersAndrew Spielberg and Alexander AminiRobotics Researchers
Computer Science and Artificial Intelligence Laboratory (CSAIL)Massachusetts Institute of Technology
Soft robot development could benefit from an algorithm that optimizes sensor placement allowing such machines to better ‘understand’ their environments. Ph.D. students in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), Alexander Amini and Andrew Spielberg, have developed an algorithm to assist engineers with sensor placement to optimize soft robotics designs.
Can you give our readers a summary of your recent research?
Our research focuses on soft robots, a new
breed of robots of growing interest in the robotics community. Rigid robots have a rigid skeleton with discrete joints. By contrast, soft robots are flexible throughout their body, and typically do not have a joint structure. While rigid robots can be modeled quite compactly - you simply need to know ....

Leadersandrew Spielberg , Andrew Spielberg , Joan Nugent , Wojciech Matusik , Daniela Rus , Joan Nugentapr , Alexander Amini , Artificial Intelligence Laboratory , Disney Research , Massachusetts Institute Of Technology , Cornell University , Johns Hopkins University Applied Physics Lab , Alexander Aminirobotics , Massachusetts Institute , Particle Sparsifying Feature Extractor , Sensor Placement , In The Loop Optimization , Johns Hopkins University Applied Physics , Soft Robots , ஆண்ட்ரூ ஸ்பீல்பெர்க் , ஜோன் நூஜெஂட் , டேனீலா ரஸ் , அலெக்சாண்டர் அமினி , செயற்கை உளவுத்துறை ஆய்வகம் , டிஸ்னி ஆராய்ச்சி , மாசசூசெட்ஸ் நிறுவனம் ஆஃப் தொழில்நுட்பம் ,

7 Hudson Valley modern classic diners to try

7 Hudson Valley modern classic diners to try
The farm-to-table treatment of classic diner food suits the moment
Kathleen Willcox
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Modern diners across the Hudson Valley like Dixon Roadside in Woodstock serve the locally sourced, elevated nostalgia foods Americans crave.Dixon Roadside
The pandemic made Grandma chic cuisine cool again.
From-scratch banana bread, heirloom beans, cookies, sourdough everything, pasta, pickles and jam dominated the culinary landscape, but with a twist. The Zeitgeist now demands not just heaving dishes of creamy comfort, but recipes made from locally grown, seasonal and sustainably produced ingredients.
In other words, fewer cinched waists and sous vide fuss, more stretch pants and patty melts as long as they’re made from grass-fed local beef and artisanal farmstead cheese on house-made bread. ....

United States , Grazin Hudson , Kris Schram , Andrew Spielberg , Paul Harney , John Panzer , Gerard Swarthout , Courtney Malsatzki , Allyson Merritt , Mike Cioffi , Lawrence Braun , Culinary Institute Of America , Hudson Valley , Dixon Roadside , Shandaken Strong , Project Resilience , Taghkanic Diner , West Taghkanic , West Taghkanic Diner , Taconic Parkway , Columbia County , Culinary Institute , Napa Valley , Smoked Pastrami Reuben , Hawthorne Valley , Kale Slaw ,

MIT algorithm arranges sensors on soft robots to improve their operations

MIT algorithm arranges sensors on soft robots to improve their operations
thenextweb.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from thenextweb.com Daily Mail and Mail on Sunday newspapers.

Andrew Spielberg , Alexander Amini , ஆண்ட்ரூ ஸ்பீல்பெர்க் , அலெக்சாண்டர் அமினி ,

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 Xu , Allan Zhao , Hod Lipson , Andrew Spielberg , Wojciech Matusik , Daniela Rus , Josephine Hughes , Mina Konakovi , Artificial Intelligence Laboratory , Columbia University , Model Predictive Control , ஜிே ஐயூ , ஆலன் ழோ , ஹாட் லிப்சன் , ஆண்ட்ரூ ஸ்பீல்பெர்க் , டேனீலா ரஸ் , ஜோசபின் ஹக்ஸ் , செயற்கை உளவுத்துறை ஆய்வகம் , கொலம்பியா பல்கலைக்கழகம் , மாதிரி ப்ரிடிக்டிவ் கட்டுப்பாடு ,