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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 ,

Scientists Develop a More 'Human-Like' Robotic Grippers


19 January 2021, 6:00 am EST By
By adding sensing mechanisms into 3D printable fingers, scientists have advanced robotic gripper by making them more human-like.
Making more human-like robotic grippers are made possible by adding sensory capabilities to the fingers, providing feedback to the gripper and allowing it to adjust appropriately. However, conventional sensors tend to compromise the mechanical properties of these soft robots.
Researchers latest effort at Ritsumeikan University in Japan resulted in the design and fabrication of a 3D printable soft robotic finger fitted with a built-in sensor of adjustable stiffness. Details of their study are reported in the journal Nano Energy, included in its January 2021 issue. ....

Mengying Xie , Ritsumeikan University , Nano Energy , Ritsumeikan University Cactus Global , Star Trek , Associate Professor Mengying , Printed Sensitive Fingers , Soft Robots , Cactus Global , Ingenious Approach , 3d Printing , நானோ ஆற்றல் , நட்சத்திரம் மலையேற்றம் , ப்ரிஂடெட் உணர்திறன் விரல்கள் , மென்மையான ரோபோக்கள் , கற்றாழை உலகளாவிய , தனித்துவமான அணுகுமுறை ,