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 ...
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 ...
Robot task AI learns everyday work from human demonstrations. It breaks tasks into steps and performs them on real robots.
A research team from Fraunhofer HNFIZ has published a newly developed evaluation model that classifies the technical ...
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Hybrid AI planner turns images into robot action plans
MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like ...
Last September roboticist Benjie Holson posted the “Humanoid Olympic Games”: a set of increasingly difficult tests for humanoid robots that he demonstrated himself while dressed in a silver bodysuit.
Researchers at the University of Michigan’s Robotics Department and the Southern University of Science and Technology in China published a research paper discussing the use of discrete-time hybrid ...
Learn about Mujin’s approach to using digital twin technology, real-time motion planning and AI-driven autonomy in its Mujin OS. Get insights on Mujin OS’s no-code robot deployment, autonomous ...
Discover the 9 best ERP systems for warehouse automation that support robotics integration, improving inventory accuracy, workflow efficiency, and smart warehouse operations.
Beijing is fast emerging as a global hub for humanoid robotics, driven by tech breakthroughs, surging industry growth and ...
Essex University has won a national award for its robotics research which saw a robot pick Wilkin and Sons’ world-famous ...
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