triptans
发表于 2025-3-23 09:45:13
Dimensionality Reduction with Movement Primitivesnearity in the parameters, rescaling robustness and continuity. However, when learning a movement with MPs, a very large number of Gaussian approximations needs to be performed. Adding them up for all joints yields too many parameters to be explored when using Reinforcement Learning (RL), thus requi
下边深陷
发表于 2025-3-23 14:53:47
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HUSH
发表于 2025-3-23 22:06:39
Preliminariesve review, with a detailed description of many of the state-of-the-art PS algorithms and the reasoning behind them. We will also introduce the concept of Movement Primitives in Sect. ., a motion characterization very suitable to PS.
无力更进
发表于 2025-3-24 01:35:38
Generating and Adapting Probabilistic Movement Primitivesh contextual PS. This method is combined with a stochastic-based obstacle avoidance that allows to modify these trajectories. Moreover, this chapter presents generative mixture models of ProMPs, which can be built from data that may include different actions.
invert
发表于 2025-3-24 04:23:15
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狼群
发表于 2025-3-24 10:31:22
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诱导
发表于 2025-3-24 10:45:56
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Accessible
发表于 2025-3-24 17:36:02
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逃避现实
发表于 2025-3-24 22:40:02
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高脚酒杯
发表于 2025-3-25 02:45:05
1610-7438 ns are proposed...In sum, the reader will find in this comprehensive exposition the relevant knowledge in different areas required to build a complete framework for model-free, compliant, coordinated robot moti978-3-030-26328-7978-3-030-26326-3Series ISSN 1610-7438 Series E-ISSN 1610-742X