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 ...
AI and robotics: How will robots help us in the future? | World ...
2022年2月9日 · Recent advances in artificial intelligence (AI) are leading to the emergence of a new class of robot. These are machines that go beyond the traditional bots running preprogrammed motions; these are robots that can see, learn, think, and react to their surroundings. While we may not personally witness or interact with robots directly in our ...
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 ...
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 …
Chinese scientists build fastest humanoid robot in the world — it …
2024年10月18日 · Scientists have demonstrated a new humanoid robot that can run at a top speed of just over 8 miles per hour (mph) — or 3.6 meters per second (m/s) to be exact. This makes it the speediest ...
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.
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 …
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).
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 ...