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From Animals to Animats 13 [[electronic resource] ] : 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014, Proceedings / / edited by Angel P. del Pobil, Eris Chinellato, Ester Martínez-Martín, John Hallam, Enric Cervera, Antonio Morales
From Animals to Animats 13 [[electronic resource] ] : 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014, Proceedings / / edited by Angel P. del Pobil, Eris Chinellato, Ester Martínez-Martín, John Hallam, Enric Cervera, Antonio Morales
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XII, 340 p. 144 illus.)
Disciplina 629.892
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Optical data processing
Pattern recognition
Algorithms
Application software
Artificial Intelligence
Computation by Abstract Devices
Image Processing and Computer Vision
Pattern Recognition
Algorithm Analysis and Problem Complexity
Information Systems Applications (incl. Internet)
ISBN 3-319-08864-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Animat Approach and Methodology -- A Role for Sleep in Artificial Cognition through Deferred Restructuring of Experience in Autonomous Machines -- Time in Consciousness, Memory and Human-Robot Interaction -- Non-representational Sensorimotor Knowledge -- Perception and Motor Control -- Self-exploration of the Stumpy Robot with Predictive Information Maximization -- Detecting the Vibration in the Artificial Web Inspired by the Spider -- Modelling Reaction Times in Non-linear Classification Tasks -- Multiple Decoupled CPGs with Local Sensory Feedback for Adaptive Locomotion Behaviors of Bio-inspired Walking Robots -- Poramate Manoonpong -- The Role of a Cerebellum-Driven Perceptual Prediction within a Robotic Postural Task -- Biomimetic Agent Based Modelling Using Male Frog Calling Behaviour as a Case Study -- Navigation and Internal World Models Snapshot Homing Navigation Based on Edge Features -- Ground-Nesting Insects Could Use Visual Tracking for Monitoring Nest Position during Learning Flights -- Adaptive Landmark-Based Navigation System Using Learning Techniques -- Robustness Study of a Multimodal Compass Inspired from HD-Cells and Dynamic Neural Fields -- Learning and Adaptation -- Developmental Dynamics of RNNPB: New Insight about Infant Action Development -- Simulating the Emergence of Early Physical and Social Interactions: A Developmental Route through Low Level Visuomotor Learning -- Intrinsically Motivated Decision Making for Situated, Goal-Driven Agents -- An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning -- Unsupervised Learning of Sensory Primitives from Optical Flow Fields -- Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics -- Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution -- Evolution -- Programmable Self-assembly with Chained Soft Cells: An Algorithm to Fold into 2-D Shapes -- Voxel Robot: A Pneumatic Robot with Deformable Morphology -- Task-Driven Evolution of Modular Self-reconfigurable Robots -- A Bacterial-Based Algorithm to Simulate Complex Adaptive Systems -- Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning -- Collective and Social Behavior -- A Swarm Robotics Approach to Task Allocation under Soft Deadlines and Negligible Switching Costs -- Supervised Robot Groups with Reconfigurable Formation: Theory and Simulations -- Coupling Learning Capability and Local Rules for the Improvement of the Objects’ Aggregation Task by a Cognitive Multi-Robot System -- Honeybee-Inspired Quality Monitoring of Routing Paths in Mobile Ad Hoc Networks -- Human Inspiration and Comparison for Monitoring Strategies in a Robotic Convoy Task -- Animal Social Behaviour: A Visual Analysis -- Crowd Emotion Detection Using Dynamic Probabilistic Models.
Record Nr. UNISA-996213698403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
From Animals to Animats 13 : 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014, Proceedings / / edited by Angel P. del Pobil, Eris Chinellato, Ester Martínez-Martín, John Hallam, Enric Cervera, Antonio Morales
From Animals to Animats 13 : 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014, Proceedings / / edited by Angel P. del Pobil, Eris Chinellato, Ester Martínez-Martín, John Hallam, Enric Cervera, Antonio Morales
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XII, 340 p. 144 illus.)
Disciplina 629.892
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Optical data processing
Pattern perception
Algorithms
Application software
Artificial Intelligence
Computation by Abstract Devices
Image Processing and Computer Vision
Pattern Recognition
Algorithm Analysis and Problem Complexity
Information Systems Applications (incl. Internet)
ISBN 3-319-08864-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Animat Approach and Methodology -- A Role for Sleep in Artificial Cognition through Deferred Restructuring of Experience in Autonomous Machines -- Time in Consciousness, Memory and Human-Robot Interaction -- Non-representational Sensorimotor Knowledge -- Perception and Motor Control -- Self-exploration of the Stumpy Robot with Predictive Information Maximization -- Detecting the Vibration in the Artificial Web Inspired by the Spider -- Modelling Reaction Times in Non-linear Classification Tasks -- Multiple Decoupled CPGs with Local Sensory Feedback for Adaptive Locomotion Behaviors of Bio-inspired Walking Robots -- Poramate Manoonpong -- The Role of a Cerebellum-Driven Perceptual Prediction within a Robotic Postural Task -- Biomimetic Agent Based Modelling Using Male Frog Calling Behaviour as a Case Study -- Navigation and Internal World Models Snapshot Homing Navigation Based on Edge Features -- Ground-Nesting Insects Could Use Visual Tracking for Monitoring Nest Position during Learning Flights -- Adaptive Landmark-Based Navigation System Using Learning Techniques -- Robustness Study of a Multimodal Compass Inspired from HD-Cells and Dynamic Neural Fields -- Learning and Adaptation -- Developmental Dynamics of RNNPB: New Insight about Infant Action Development -- Simulating the Emergence of Early Physical and Social Interactions: A Developmental Route through Low Level Visuomotor Learning -- Intrinsically Motivated Decision Making for Situated, Goal-Driven Agents -- An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning -- Unsupervised Learning of Sensory Primitives from Optical Flow Fields -- Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics -- Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution -- Evolution -- Programmable Self-assembly with Chained Soft Cells: An Algorithm to Fold into 2-D Shapes -- Voxel Robot: A Pneumatic Robot with Deformable Morphology -- Task-Driven Evolution of Modular Self-reconfigurable Robots -- A Bacterial-Based Algorithm to Simulate Complex Adaptive Systems -- Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning -- Collective and Social Behavior -- A Swarm Robotics Approach to Task Allocation under Soft Deadlines and Negligible Switching Costs -- Supervised Robot Groups with Reconfigurable Formation: Theory and Simulations -- Coupling Learning Capability and Local Rules for the Improvement of the Objects’ Aggregation Task by a Cognitive Multi-Robot System -- Honeybee-Inspired Quality Monitoring of Routing Paths in Mobile Ad Hoc Networks -- Human Inspiration and Comparison for Monitoring Strategies in a Robotic Convoy Task -- Animal Social Behaviour: A Visual Analysis -- Crowd Emotion Detection Using Dynamic Probabilistic Models.
Record Nr. UNINA-9910484374403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
From robot to human grasping simulation / / Beatriz Leon, Antonio Morales, Joaquin Sancho-Bru
From robot to human grasping simulation / / Beatriz Leon, Antonio Morales, Joaquin Sancho-Bru
Autore León Beatriz
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , 2014
Descrizione fisica 1 online resource (x, 261 pages) : illustrations (some color)
Disciplina 006.3
629.892
Collana Cognitive Systems Monographs
Soggetto topico Robot hands
ISBN 3-319-01833-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ""Preface""; ""Contents""; ""1 Introduction""; ""1.1 The Grasping Process""; ""1.1.1 Grasping in Biomechanics""; ""1.1.2 Grasping in Robotics""; ""1.2 Simulation: A Tool Towards Understanding the Grasping Process""; ""1.3 From Robot to Human Grasping Simulation""; ""1.4 Outline""; ""1.4.1 Part I: Robot Grasping Simulation""; ""1.4.2 Part II: Human Grasping Simulation""; ""References""; ""Part IRobot Grasping Simulation""; ""2 Robot Grasping Foundations""; ""2.1 Introduction""; ""2.2 Contact Modelling""; ""2.2.1 Contact Kinematics""; ""2.2.2 Contact Models""; ""2.2.3 Selection Matrices""
""2.3 Grasp Analysis""""2.3.1 Grasp Matrix and Hand Jacobian""; ""2.3.2 Disturbance Resistance""; ""2.3.3 Optimal Contact Forces Computation""; ""2.4 Grasp Synthesis""; ""References""; ""3 Robot Grasping Simulation""; ""3.1 Introduction""; ""3.1.1 Requirements for a Grasp Simulator""; ""3.1.2 Related Work""; ""3.2 OpenRAVE""; ""3.2.1 The Core Layer""; ""3.2.2 The Scripting Layer""; ""3.2.3 The Plugins Layer""; ""3.2.4 Object Manipulation in OpenRAVE""; ""3.3 OpenGRASP: Simulation Toolkit""; ""3.3.1 Developed Plugins""; ""3.3.2 Physics Simulation""; ""3.3.3 File Format for Robot Models""
""3.3.4 Robot Editor""""3.3.5 Robot Models""; ""3.4 Simulated Tactile Sensor""; ""3.4.1 Related Work""; ""3.4.2 Tactile Sensor Model""; ""3.4.3 Contact Force Model""; ""3.4.4 Tactile Sensor Plugin""; ""3.4.5 Experiments on Robot Grasping""; ""3.4.6 Discussion""; ""3.5 Conclusion""; ""References""; ""4 Applications of Robot Grasping Simulation""; ""4.1 Introduction""; ""4.2 Grasping Known Objects: Existing Approaches""; ""4.2.1 Grasp Hypothesis Database""; ""4.2.2 OpenRAVE Grasping Pipeline""; ""4.3 Grasping Known Objects: Using Uncertainty Metric MOOM""; ""4.3.1 Related Work""
""4.3.2 MOOM: Model-Object Overlap Metric""""4.3.3 Grasping Pipeline""; ""4.3.4 Experimental Setup and Evaluation""; ""4.3.5 Discussion""; ""4.4 Grasping Unknown Objects: Using Symmetry Assumptions""; ""4.4.1 Predicting Object Shape Through Symmetry""; ""4.4.2 Grasping Pipeline""; ""4.4.3 Experiments""; ""4.4.4 Discussion""; ""4.5 Grasping Familiar Objects: Using Task Constraints""; ""4.5.1 Grasping Pipeline""; ""4.5.2 Experiments""; ""4.5.3 Discussion""; ""4.6 Dynamic Grasping Simulation""; ""4.6.1 Implementation""; ""4.6.2 Experimental Setup""; ""4.6.3 Results""; ""4.6.4 Discussion""
""4.7 Conclusion""""References""; ""Part IIHuman Grasping Simulation""; ""5 The Model of the Human Hand""; ""5.1 Introduction""; ""5.2 Literature Review""; ""5.2.1 Biomechanical Models of the Hand""; ""5.2.2 Hand Models in Ergonomics""; ""5.2.3 Grasping in Robotics""; ""5.3 Hand Model Proposed for the Study of Grasp""; ""5.4 Anatomy of the Hand: Terminology""; ""5.5 Biomechanical Model""; ""5.5.1 Kinematics""; ""5.5.2 Musculo-tendon Action""; ""5.5.3 Ligaments""; ""5.5.4 Soft Contact Model""; ""5.5.5 Skin Model""; ""5.5.6 Closure Algorithm""; ""5.5.7 Neuromuscular Control""
""5.6 Simulation Framework for Human Hand Grasping""
Record Nr. UNINA-9910299475003321
León Beatriz  
Cham, Switzerland : , : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui