Robotics | MIT News | Massachusetts Institute of Technology
Dec 18, 2024 · MIT CSAIL researchers used AI-generated images to train a robot dog in parkour, without real-world data. Their LucidSim system demonstrates generative AI's potential for creating robotics training data. November 19, 2024. Read full story →
Combining next-token prediction and video diffusion in ... - MIT …
Oct 16, 2024 · The result: a flexible, reliable sequence model that resulted in higher-quality artificial videos and more precise decision-making for robots and AI agents. By sorting through noisy data and reliably predicting the next steps in a task, Diffusion Forcing can aid a robot in ignoring visual distractions to complete manipulation tasks.
AI helps robots manipulate objects with their whole bodies
Aug 24, 2023 · Caption: MIT researchers developed an AI technique that enables a robot to develop complex plans for manipulating an object using its entire hand, not just the fingertips. This model can generate effective plans in about a minute using a standard laptop. Here, a robot attempts to rotate a bucket 180 degrees.
A technique for more effective multipurpose robots | MIT News ...
Jun 3, 2024 · The MIT researchers developed a technique that can take a series of smaller datasets, like those gathered from many robotic warehouses, learn separate policies from each one, and combine the policies in a way that enables a robot to generalize to many tasks. They represent each policy using a type of generative AI model known as a diffusion model.
Can robots learn from machine dreams? - MIT News
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 …
The new wave of robotic automation - MIT News
Jun 16, 2021 · They’ve baked in AI-for-multiple-robot optimization to find the best and highest efficiency for the structure of the work cell — everything from the positioning of the robot to the sequencing of tasks, and which tasks are going to be done by which robot. "In the space of running this AI for just a few hours, you're able to achieve a ...
Artificial intelligence | MIT News | Massachusetts Institute of …
Jan 2, 2025 · Teaching a robot its limits, to complete open-ended tasks safely. The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests. December 12, 2024. Read full story →
Multiple AI models help robots execute complex plans more
Jan 8, 2024 · MIT’s Improbable AI Lab, a group within the Computer Science and Artificial Intelligence Laboratory (CSAIL), has offered these machines a helping hand with a new multimodal framework: Compositional Foundation Models for Hierarchical Planning (HiP), which develops detailed, feasible plans with the expertise of three different foundation models ...
Helping robots practice skills independently to adapt to ... - MIT …
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.
New technique helps robots pack objects into a tight space
Oct 17, 2023 · The research will be presented at the Conference on Robot Learning. Constraint complications. Continuous constraint satisfaction problems are particularly challenging for robots. These problems appear in multistep robot manipulation tasks, like packing items into a box or setting a dinner table.