MIT and NVIDIA Research researchers have developed a powerful new algorithm that drastically accelerates how robots plan their actions. Robots may complete intricate, multistep manipulation tasks in ...
Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely used to tackle a wide range of tasks, ranging from sourcing information to the ...
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Chinese model with high success rate helps humanoid robots adapt to tasks without training
Researchers from Wuhan University have developed a new framework that could help robots manipulate objects more easily. Introduced in a new paper on arXiv, this approach should enable humanoid robots ...
Learn how humanoid robots use adaptive control and error recovery, helping teams handle tough tasks with fewer stoppages.
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Robotic arm successfully learns 1,000 manipulation tasks in one day
Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world ...
Robotic task planning using temporal logic specifications has emerged as a pivotal research area that integrates formal methods with the dynamic complexities of multi-robot systems. This approach ...
Why aren’t there more robots in homes? This a surprising complex question — and our homes are surprisingly complex places. A big part of the reason autonomous systems are thriving on warehouse and ...
Vision-language models (VLMs) are rapidly changing how humans and robots work together, opening a path toward factories where machines can “see,” ...
ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...
There is no separating factories of any kind, especially the ones that produce machines and machinery of some kind, from robots. These construction tools have been around since forever ago, performing ...
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