Robotics | MIT News | Massachusetts Institute of Technology
2024年10月28日 · Combining next-token prediction and video diffusion in computer vision and robotics. 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.
The new wave of robotic automation - MIT News
2021年6月16日 · Peter Howard SM ’84 is the CEO of Realtime Robotics, a startup transforming autonomous robot motion planning to enable seamless, affordable human-robot collaboration. Realtime Robotics has developed a combination of proprietary software and hardware that reduces system deployment time by 70 percent or more, reduces deployment costs by 30 ...
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 …
Robotics news, features and articles | Live Science
Live Science takes you through the latest developments in robotics, from the strangest robots to biohybrids, and questions whether we're really ready for intelligent robots. Whatever your interest ...
Boston Dynamics' robot dog Spot can now 'play fetch' — thanks …
5 天之前 · Here’s how it works. (Image credit: Andy Ryan) Dog-like robots could one day learn to play fetch, thanks to a blend of artificial intelligence (AI) and computer vision helping them zero in on ...
MIT engineers devise a recipe for improving any autonomous …
2022年6月21日 · In some respects, designing an autonomous robot today is like baking a cake from scratch, with no recipe or prepared mix to ensure a successful outcome. Now, MIT engineers have developed a general design tool for roboticists …
A technique for more effective multipurpose robots
2024年6月3日 · MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different datasets that enables a robot to learn to …
A system for designing and training intelligent soft robots
2021年12月7日 · The climber robot evolved two arms and two leg-like structures (kind of like a monkey) to help it climb. The lifter robot resembled a two-fingered gripper. One avenue for future research is so-called “morphological development,” where a robot incrementally becomes more intelligent as it gains experience solving more complex tasks.
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 ...
Chinese scientists build world's fastest humanoid robot - Live …
2024年3月13日 · The newest version of Unitree's H1 robot, called "Evolution V3.0", is a bipedal robot that stands a little over 5 foot 11 inches (1.8 meters) tall and weighs less than 110 pounds (50 kilograms).