Abstract: Quadruped robots have made significant progress in robust control, however, the grasping tasks in complex environments still pose challenges for arm-quadruped. Specifically, when the targets ...
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 ...
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