Robot Intelligence Technology and Applications

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.