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The Grasping Neural Process uses limited interaction data to help robots understand unclear objects in real-time (Credits: Alex Shipps/MIT CSAIL).
CSAIL article

When robots come across unfamiliar objects, they struggle to account for a simple truth: Appearances aren’t everything. They may attempt to grasp a block, only to find out it’s a literal piece of cake. The misleading appearance of that object could lead the robot to miscalculate physical properties like the object’s weight and center of mass, using the wrong grasp and applying more force than needed.

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alt="The dataset contains movements and physiological responses of badminton players and can be used to build AI-driven coaching assistants. This development could improve the quality of forehand clear and backhand drive strokes across all skill levels, from beginners to experts (Credit: SeungJun Kim at GIST)."
CSAIL article

In sports training, practice is the key, but being able to emulate the techniques of professional athletes can take a player’s performance to the next level. AI-based personalized sports coaching assistants assist with this by utilizing published datasets. With cameras and sensors strategically placed on the athlete's body, these systems can track everything, including joint movement patterns, muscle activation levels, and gaze movements.

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External articles

Daniela Rus’s dream is to imbue the power of robotics with the wisdom of humanity. She runs MIT’s Computer Science and Artificial Intelligence Laboratory. As part of his ongoing series on the promise and perils of AI, Globe Ideas Editor Brian Bergstein talks to Rus about her new book “The Heart and the Chip.” She says robots won’t just do our chores and work in our factories; they can teach us how to hit tennis balls like Serena Williams and defy gravity like Iron Man. She says your car won’t just drive you around — it might also be a friend. 

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alt="Situated in the heart of campus on Vassar Street, the central location of the MIT Schwarzman College of Computing building will help form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence at MIT (Photo: Dave Burk/SOM)."
CSAIL article

On Vassar Street, in the heart of MIT’s campus, the MIT Stephen A. Schwarzman College of Computing recently opened the doors to its new headquarters in Building 45. The building’s central location and welcoming design will help form a new cluster of connectivity at MIT and enable the space to have a multifaceted role.