Robotics | MIT News | Massachusetts Institute of Technology
2024年12月18日 · 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 →
The new wave of robotic automation - MIT News
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.
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.
Robotics news, features and articles | Live Science
2024年12月21日 · The robot's flexible arms are a technology demonstration that could one day aid in satellite maintenance and space debris management. Robotics 'Drones' swarm New Jersey and New York.
Can robots learn from machine dreams? - MIT News
2024年11月19日 · 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 to the real world without additional fine-tuning.
Chinese scientists build fastest humanoid robot in the world — it …
2024年10月18日 · A top speed of 8 mph means it beat Unitree's H1 robot — which set the previous speed record for a bipedal robot at 7.4 mph (3.3 m/s) in March 2024. Although STAR1 had the help of footwear, H1 ...
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 better way to control shape-shifting soft robots
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 …
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.
Teaching a robot its limits, to complete open-ended tasks safely
2024年12月12日 · PRoC3S could help a robot test out plans in an identical digital environment to find a working course of action — and more importantly, bring you a tasty snack. For future work, the researchers aim to improve results using a more advanced physics simulator and to expand to more elaborate longer-horizon tasks via more scalable data-search ...