2 天之前 · 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 →

2021年6月16日 · The fact is, it's always been too slow to be effective for robot and autonomous vehicle applications in dynamic environments like a factory floor shared by robots and people alike. Until Realtime Robotics stepped up and solved the problem with autonomous robot motion planning and multi-robot deconfliction.

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.

2025年1月10日 · Discover how robots can help push the realms of science and engineering with the latest robotics news, features and articles.

2024年12月27日 · The ultimate action-packed science and technology magazine bursting with exciting information about the universe; ... 2025 at 8:45 a.m. EST to remove reference to the Agility robot's price. The ...

2023年7月19日 · The robot can autonomously inspect the bolts, taking away the need for humans to loosen and retighten them, reports Marine Technology News. The project could save hundreds of millions of dollars in Europe each year, alone, while also extending turbine life spans and reducing the risks faced by human workers.

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 ...

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.

2024年5月10日 · A new machine-learning technique can train and control a reconfigurable soft robot that can dynamically change its shape to complete a task. The researchers, from MIT and elsewhere, also built a simulator that can evaluate control algorithms for …

2024年5月20日 · The team also developed some robotic phalanges, called ROMEO (“RObotic Modular Endoskeleton Optical”), with flexible materials and similar sensing technology as the palm. The fingers have something called “passive compliance,” which is when a robot can adjust to forces naturally, without needing motors or extra control.