Aug 24, 2023 · Joining Suh on the paper are co-lead author Tao Pang PhD ’23, a roboticist at Boston Dynamics AI Institute; Lujie Yang, an EECS graduate student; and senior author Russ Tedrake, the Toyota Professor of EECS, Aeronautics and Astronautics, and Mechanical Engineering, and a member of the Computer Science and Artificial Intelligence Laboratory ...

Oct 21, 2016 · Though artificial intelligence is capable of a speed and capacity of processing that’s far beyond that of humans, it cannot always be trusted to be fair and neutral. Google and its parent company Alphabet are one of the leaders when it comes to artificial intelligence, as seen in Google’s Photos service, where AI is used to identify people ...

Aug 8, 2024 · A robot rapidly specializes its skills using parameter policy learning, where the machine can rapidly specialize at specific, smaller actions within a long-horizon task. The MIT CSAIL algorithm enables autonomous practice to improve at mobile-manipulation activities.

Sep 18, 2018 · But a new generation of smart machines, fuelled by rapid advances in artificial intelligence (AI) and robotics, could potentially replace a large proportion of existing human jobs. While some new jobs would be created as in the past, the concern is there may not be enough of these to go round, particularly as the cost of smart machines falls ...

Jul 19, 2023 · But in numerous settings around the world, robots and related technology, such as artificial intelligence (AI), are helping humans with a range of work. This includes high-risk and complex jobs – and work in places where humans can’t go.

Jun 3, 2024 · But robots trained this way, with a relatively small amount of task-specific data, are often unable to perform new tasks in unfamiliar environments. In an effort to train better multipurpose robots, MIT researchers developed a technique to combine multiple sources of data across domains, modalities, and tasks using a type of generative AI known ...

Jan 31, 2025 · A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments. October 16, 2024. Read full story →

Nov 2, 2023 · Inspired by humans' ability to handle unfamiliar objects, a group from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) designed Feature Fields for Robotic Manipulation , a system that blends 2D images with foundation model features into 3D scenes to help robots identify and grasp nearby items. F3RM can interpret open ...

Jul 31, 2024 · MIT CSAIL's real-to-sim-to-real pipeline RialTo enables users to capture digital twins of their surroundings for on-the-fly robot learning. As a combination of reinforcement learning and imitation learning, the approach helps robot practice in …

Nov 19, 2024 · LucidSim is an AI-powered simulator that trained a robot dog to perform parkour using generated images without any real-world data. This approach, from MIT CSAIL researchers, scales up training data, helping robots transfer skills …