Hybrid Learning-Optimization Control Methods for Dual-Arm Robots in Cooperative Transportation Tasks
Abstract: This article presents a hybrid learning-optimization control method (HLOCM) for dual-arm collaboration. A model predictive optimized dynamic movement primitives (MPO-DMPs) framework is ...
A good productivity method can mean the difference between a disorganized, unfulfilling day and one during which you get a lot done and feel great about it. That tradeoff is why so many of these ...
Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
Ivy Lee came up with his productivity method in an effort to help big businesses in the 1920s get more done. It’s all about ...
The “action” part of the action method comes after you organize your projects into three categories: Action steps, references, and back-burners. A good way to do this is to make a spreadsheet with ...
A Reinforcement Learning-Based Task Mapping Method to Improve the Reliability of Clustered Manycores
Abstract: The increasing scale of manycore systems poses significant challenges in managing reliability while meeting performance demands. Simultaneously, these systems become more susceptible to ...
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