Robotics | MIT News | Massachusetts Institute of Technology
2024年11月19日 · 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 →
A faster, better way to train general-purpose robots
2024年10月28日 · At the same time, each robot is mechanically unique, with a different number and orientation of arms, grippers, and sensors. Plus, the environments where data are collected vary widely. The MIT researchers developed a new architecture called Heterogeneous Pretrained Transformers (HPT) that unifies data from these varied modalities and domains.
Helping robots practice skills independently to adapt to unfamiliar ...
2024年8月8日 · The robot, which has an arm attached to its back, completed manipulation tasks after practicing for a few hours. In one demonstration, the robot learned how to securely place a ball and ring on a slanted table in roughly three hours. In another, the algorithm guided the machine to improve at sweeping toys into a bin within about two hours.
What is a robot? - New Scientist
The word “robot” was coined by the Czech writer Karel Čapek in a 1920 play called Rossum’s Universal Robots, and is derived from the Czech robota, meaning “drudgery” or “servitude”.
A better way to control shape-shifting soft robots
2024年5月10日 · Here, a reconfigurable robot learns to elongate and curve its soft body to weave around obstacles and reach a target. Image: Courtesy of the researchers “Such a robot could have thousands of small pieces of muscle to control, so it is very hard to learn in a traditional way,” says Chen.
Helping robots zero in on the objects that matter - MIT News
2024年9月30日 · A robot can then apply that neural network to spot a dog in a totally new scene. But a challenge still remains as to how to parse a scene in a useful way that is relevant for a particular task. “Typical methods will pick some arbitrary, fixed level of granularity for determining how to fuse segments of a scene into what you can consider as ...
Engineering household robots to have a little common sense
2024年3月25日 · Mapping a robot’s physical coordinates, or an image of the robot state, to a natural language label is known as “grounding.” The team’s new algorithm is designed to learn a grounding “classifier,” meaning that it learns to automatically identify what semantic subtask a robot is in — for example, “reach” versus “scoop ...
A technique for more effective multipurpose robots
2024年6月3日 · If we want to use a lot of data to train general robot policies, then we first need deployable robots to get all this data. I think that leveraging all the heterogeneous data available, similar to what researchers have done with ChatGPT, is an important step for the robotics field,” says Lirui Wang, an electrical engineering and computer ...
9 ways robots are helping humans: Robodogs to magnetic slime
2023年7月19日 · In Geneva, a social robot powered by AI – which looks uncannily like its creator, Nadia Magnenat Thalmann – has just been upgraded with ChatGPT-3 to improve its conversational skills. The robot, called Nadine, told Reuters it had sung and played bingo with residents at a nursing home in Singapore.
A new model offers robots precise pick-and-place solutions
2024年8月9日 · In precise pick-and-place, also known as kitting, the robot transforms an unstructured arrangement of objects into an organized arrangement. The approach, dubbed SimPLE (Simulation to Pick Localize and placE), learns to pick, regrasp and place objects using the object’s computer-aided design (CAD) model, and all without any prior experience ...