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 ...
Soft robotic manipulators promise manipulation dexterity and compliance, but these properties make them hard to control due to the uncertainties and nonlinearitiesin their dynamics. Towards solving ...
Discover the best cloud ETL tools for data engineers in 2025. Compare features, pricing, and use cases as we explore the most effective data integration solutions for modern organizations with ...
During Warfighter Exercise (WfX) 25-01, the phrase “set conditions” was frequently used to describe prerequisites for ...
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