Robot Intelligence Technology and Applications

This book constitutes revised selected papers from the 6th International Conference on Robot Intelligence Technology and Applications, RiTA 2018, held in Putrajaya, Malaysia, in December 2018.

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.

Contenu

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 LSTM using 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.