Computational Acquisition Of Robust Motor Skills
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Computational Acquisition Of Robust Motor Skills
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Author : Mazen Al Borno
language : en
Publisher:
Release Date : 2017
Computational Acquisition Of Robust Motor Skills written by Mazen Al Borno and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Humans have the ability to learn complex motor skills like ballet dancing, breakdancing, gymnastics and riding a bicycle. Ideally, these skills are robust to many conditions: they can be performed whether the day is windy or the ground is slippery. This thesis introduces computational tools for physics-based simulated characters to acquire robust motor skills. We show how to optimize control solutions to produce complex motor skills, such as breakdancing, handstands and hand walks. The cost function is specified in terms of intuitive motion properties (e.g., place the hands close to the ground, place the feet as high as possible, maximize angular momentum in some direction, etc.). Unlike previous work, our method does not require contacts to be pre-specified, which simplifies the synthesis process and allows tackling motions that were previously outside the scope of physics-based methods. Our approach is currently too slow for online applications that require control solutions for a range of tasks to be performed. We show that if we restrict the problem to specific movements, it is possible to design online controllers that achieve a range of tasks and that are robust to disturbances. We demonstrate this for a variety of rotational movements, including cartwheels, dives, flips and handsprings. The control solutions described so far are only valid for a small set of states of the character. We develop a method to systematically expand this set, thereby increasing the robustness of our control solutions and allowing for their sequencing. Once a skill is learned by a character with a particular body shape, we show how it can be transferred to a character with a different body shape. The method discovers surprisingly natural results, such as a heavier character avoiding losing balance by taking extra steps and stretching out its arms. For a given character, this opens up a large reservoir of skills that can be acquired.
The Dynamics Of Motor Skill Acquisition
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Author : Margaret D. Robb
language : en
Publisher:
Release Date : 1972
The Dynamics Of Motor Skill Acquisition written by Margaret D. Robb and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Learning categories.
Recent Insights Into Perceptual And Motor Skill Learning The Computational And Neural Processes Underlying Perceptual And Motor Skill Learning
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Author : Lior Shmuelof
language : en
Publisher: Frontiers Media SA
Release Date : 2015-03-18
Recent Insights Into Perceptual And Motor Skill Learning The Computational And Neural Processes Underlying Perceptual And Motor Skill Learning written by Lior Shmuelof and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-18 with Implicit learning categories.
Improvements in task performance following practice can occur as a result of changes in distinct cognitive and neural processes. In some cases, we can improve our performance by selecting a more successful behavior that is already part of our available repertoire. Skill learning, on the other hand, refers to a slower process that results in improving the ability to perform a behavior, i.e., it involves the acquisition of a behavior that was not available to the controller before training. Skill learning can take place both in the sensory and in the motor domains. Sensory skill acquisition in perceptual learning tasks is measured by improvements in sensory acuity through practice-induced changes in the sensitivity of relevant neural networks. Motor skill is harder to define as the term is used whenever a motor learning behavior improves along some dimension. Nevertheless, we have recently argued that as in perceptual learning, acuity is an integral component in motor skill learning. In this special topic we set out to integrate experimental and theoretical work on perceptual and motor skill learning and to stimulate a discussion regarding the similarities and differences between these two kinds of learning.
Learning Models And The Acquisition Of Motor Skills
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Author :
language : en
Publisher:
Release Date : 1972
Learning Models And The Acquisition Of Motor Skills written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Motor learning categories.
The Acquisition Of Motor Skill
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Author : Matthew Kleinman
language : en
Publisher:
Release Date : 1983
The Acquisition Of Motor Skill written by Matthew Kleinman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Motor ability categories.
Robust Computing With Nano Scale Devices
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Author : Chao Huang
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-11
Robust Computing With Nano Scale Devices written by Chao Huang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-11 with Technology & Engineering categories.
Robust Nano-Computing focuses on various issues of robust nano-computing, defect-tolerance design for nano-technology at different design abstraction levels. It addresses both redundancy- and configuration-based methods as well as fault detecting techniques through the development of accurate computation models and tools. The contents present an insightful view of the ongoing researches on nano-electronic devices, circuits, architectures, and design methods, as well as provide promising directions for future research.
Computational Neuroscience Theoretical Insights Into Brain Function
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Author : Paul Cisek
language : en
Publisher: Elsevier
Release Date : 2007-11-14
Computational Neuroscience Theoretical Insights Into Brain Function written by Paul Cisek and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-14 with Science categories.
Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function. • Includes contributions by some of the most influential people in the field of computational neuroscience • Demonstrates how computational approaches are being used today to interpret experimental data • Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning
Acquisition And Improvement Of Human Motor Skills
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Author : Wayne Iba
language : en
Publisher:
Release Date : 1991
Acquisition And Improvement Of Human Motor Skills written by Wayne Iba and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Robust Artificial Intelligence For Neurorobotics
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Author : Subramanian Ramamoorthy
language : en
Publisher: Frontiers Media SA
Release Date : 2022-01-31
Robust Artificial Intelligence For Neurorobotics written by Subramanian Ramamoorthy and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-31 with Science categories.
Computation Dynamics And Sensory Motor Development
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Author : Julie C. Rutkowska
language : en
Publisher:
Release Date : 1997
Computation Dynamics And Sensory Motor Development written by Julie C. Rutkowska and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Bionics categories.
Abstract: "Outside Piagetian theory, sensory-motor co-ordinations are often relegated to the domain of 'mere' motor skill, but their development shares important features with that of cognitive structures. This paper focusses on early action, to assess the prospects for an account of development that is based on a system's initial mechanisms and processes of interaction with its environment without prespecification of stable patterns of organization that will be acquired. A truly epigenetic account proves elusive, with empirical findings increasingly being taken to indicate preadaptation and strong domain-specific constraints on infant abilities. Despite this, evidence can be marshalled for variability, which is compatible with a general-purpose process of internally motivated and structured organizational change. However, the mechanisms underlying this process are obscure. Clarification is sought by considering current attempts to understand sensory-motor co-ordination through the construction of articifial agent-environment systems. Disappointingly, such approaches often share a need to incorporate an explicit bias towards the recurrent behaviour patterns that will come to have functional significance for the systems they aim to explain. Synchronic systems in this vein exploit predesigned sensory-motor connections with the environment. Their diachronic counterparts feature designer specification of acceptable outcomes for activity in the form of problem-specific fitness functions or goal-like value schemes that are credited to evolution. Neither computational nor dynamical systems concepts provide an automatic escape from this problem, but most promising may be robotics approaches informed by dynamical systems theory that challenge mainstream views of information and information-processing."