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Our approach is based on learning by demonstration.
The empirical grasp synthesis chooses the most appropriate hand configuration for the object and task to be performed using tools such as learning by demonstration (Aleotti and Caselli 2010; Jakel et al. 2010; Kroemer et al. 2010), neural networks (Pedro et al. 2013; Leoni et al. 1998), fuzzy logic (Bowers and Lumia 2003), or knowledge-based systems (Bekey et al. 1993).
We derive an efficient variational Bayesian inference algorithm for the proposed model, and we experimentally investigate its efficacy as a robot learning by demonstration methodology, considering a number of demanding robot learning by demonstration scenarios.
One is that the imitating agent needs repeated trials, thus stepping away from the one-shot learning by demonstration paradigm.
We propose a template-based learning framework for robot learning by demonstration to address both generalisation and adaptability.
In the past years, many authors have considered application of machine learning methodologies to effect robot learning by demonstration.
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However, it cannot be learnt by demonstration or observation alone.
Rapid prescribing of newly marketed drugs by specialists could convince GPs through a learning-by-demonstration effect to adopt too.
Contacts with real patients reportedly ease learning processes by demonstration of practical relevance of theory [ 18– 21] and by making learning more meaningful and more focused [ 22].
"As we work to help bring care coordination to a broader set of providers through Accountable Care Organizations, the lessons learned by this demonstration provide great insight into how to use Medicare's payment systems to improve quality while reducing costs," said Dr. Donald M. Berwick, who oversees the Medicare program, in a statement.
Predictions improve learning by actively engaging students in a demonstration (Crouch et al. 2004).
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