Self-transforming robot blocks jump, spin, flip, and identify each other

Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including disaster relief.

Rachel Gordon | MIT CSAIL | Oct. 30, 2019 | mit
~6 mins   

Tags: computer-science-and-artificial-intelligence-laboratory-csail robots robotics electrical-engineering-and-computer-science-eecs school-of-engineering research algorithms distributed-robotics-laboratory artificial-intelligence computer-science-and-technology disaster-response national-science-foundation-nsf


Pushy robots learn the fundamentals of object manipulation

Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.

Rob Matheson | MIT News Office | Oct. 21, 2019 | mit
~8 mins   

Tags: research computer-science-and-technology algorithms robots robotics data machine-learning computer-science-and-artificial-intelligence-laboratory-csail mechanical-engineering electrical-engineering-computer-science-eecs school-of-engineering

Deep learning with point clouds

Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.

Adam Conner-Simons | CSAIL | Oct. 21, 2019 | mit
~6 mins   

Tags: computer-science-and-artificial-intelligence-laboratory-csail computer-science-and-technology algorithms autonomous-vehicles robots robotics research school-of-engineering machine-learning electrical-engineering-computer-science-eecs


Giving robots a faster grasp

An algorithm speeds up the planning process robots use to adjust their grip on objects, for picking and sorting, or tool use.

Jennifer Chu | MIT News Office | Oct. 17, 2019 | mit
~7 mins   

Tags: computer-science-and-artificial-intelligence-laboratory-csail algorithms manufacturing mechanical-engineering research robots robotics school-of-engineering national-science-foundation-nsf

Recovering “lost dimensions” of images and video

Model could recreate video from motion-blurred images and “corner cameras,” may someday retrieve 3D data from 2D medical images.

Rob Matheson | MIT News Office | Oct. 16, 2019 | mit
~7 mins   

Tags: research computer-science-and-technology 3-d 2-d algorithms imaging machine-learning health-care health-sciences-and-technology computer-science-and-artificial-intelligence-laboratory-csail electrical-engineering-computer-science-eecs school-of-engineering

Using algorithms to build a map of the placenta

New technique stretches out MRI scans of placentas so they can be more accurately analyzed, and shows the potential of MRI for pregnancy monitoring.

Adam Conner-Simons | MIT CSAIL | Oct. 2, 2019 | mit
~6 mins   

Tags: computer-science-and-artificial-intelligence-laboratory-csail electrical-engineering-and-computer-science-eecs research algorithms computer-science-and-technology medicine health-care imaging school-of-engineering women

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