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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 ,

MIT algorithm arranges sensors on soft robots to improve their operations

MIT algorithm arranges sensors on soft robots to improve their operations
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Andrew Spielberg , Alexander Amini , ஆண்ட்ரூ ஸ்பீல்பெர்க் , அலெக்சாண்டர் அமினி ,

Retrofitting MIT's deep learning "boot camp" for the virtual world | MIT News | Massachusetts Institute of Technology


Caption:
Graduate students Ava Soleimany (left) and Alexander Amini moved their popular IAP course on deep learning online this year, but still managed to work in some surprises. The course enrolled a record 550 students this year, and featured 50 final projects covering deep learning applications in nearly every discipline represented at MIT.
Credits:
Photo: Ashley Amini-Sami
Caption:
For the pandemic edition of 6.S191, Amini and Soleimany pre-recorded their lectures in their kitchen, and staged them to look as if they were being delivered live from Stata.
Credits:
Photo: Alexander Amini
Caption:
Four students won prizes for their final class projects. They are (clockwise from top left): Nelson Hidalgo, Peter McHale, Nada Tarkhan, and Savva Morozov. ....

United States , Nada Tarkhan , Peter Mchale , Nelson Hidalgo , Barack Obama , Claire Dong , Savva Morozov , Alexander Amini , Ava Soleimany , Sangbae Kim , Jakub Szczesniak , Sustainable Design Lab , Department Of Aeronautics , Department Of Electrical Engineering , Dade Community College , Watson Ai Lab , Harvard University , Ernst Young , School Of Architecture , Sloan School Of Management , Stata Center , Deep Learning , President Barack , Kirsch Auditorium , Electrical Engineering , Computer Science ,