Robot Intelligence Technology and Applications
Springer Verlag, Singapore
978-981-13-7779-2 (ISBN)
The 20 full papers presented in this volume were carefully reviewed and selected from 80 submissions.
The papers present studies on machine learning; optimization; modelling and simulation; path planning; neural networks; landmark recognition; and reinforcement learning.
Data-driven Neuroendocrine-PID Tuning Based on Safe Experimentation Dynamics for Control of TITO Coupled Tank System with Stochastic Input Delay. -Neuro-Fuzzy Sampling - Safe and Fast Multi-Query Path Planning for Mobile Robots. -Hierarchical Attention Networks for Different Types of Documents with Smaller Size of Datasets. -Social Robot Intelligence and Network Consensus. -UDLR Convolutional Network for Adaptive Image Denoiser. -Robust Feedback Controller Design Using Cuckoo Search Optimization to Maximize Stability Radius. -Chaos-based Reinforcement Learning when Introducing Refractoriness in Each Neuron. -Integration of Semantic and Episodic Memories for Task Intelligence. -Human Robot Social Interaction Framework based on Emotional Episodic Memory. -Convolutional Neural Network-based Collaborative Filtering for Recommendation Systems. -A Pedestrian Dead Reckoning System with Error Correction by Landmark Recognition. -Effective Indoor Robot Localization by Stacked Bidirectional LSTMusing Beacon-based Range Measurements. -Track Management for Distributed Multi-Target Tracking in Sensor Network. -Deregulating the Electricity Market for the Peninsula Malaysian Grid using a System Dynamics Approach. -ArUcoRSV: Robot Localisation using Artificial Marker. -Spike Encoding Modules using Neuron Model in Neural Networks.-The Classification of EEG Signal using Different Machine Learning Techniques for BCI Application. -The Identification of Oreochromis niloticus Feeding Behaviour through the Integration of Photoelectric Sensor and Logistic Regression Classifier. -Motion Planning to Reduce the Thrust of Underwater Robot Using Null-space Compliance. -Match outcomes prediction of six top English Premier League clubs via machine learning technique.
Erscheinungsdatum | 19.07.2019 |
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Reihe/Serie | Communications in Computer and Information Science ; 1015 |
Zusatzinfo | 105 Illustrations, color; 37 Illustrations, black and white; XIII, 245 p. 142 illus., 105 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Computer Science • conference proceedings • Informatics • Research |
ISBN-10 | 981-13-7779-0 / 9811377790 |
ISBN-13 | 978-981-13-7779-2 / 9789811377792 |
Zustand | Neuware |
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