AZoRobotics

VSLAM Navigation Improves Indoor Logistics Robot Efficiency

This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...
EurekAlert!

New review maps design pathways for electrified propulsion in air, ground, and sea transport

Researchers have published a comprehensive review of configuration and parameter design for electrified propulsion systems in ...
AlphaGalileo

Adaptive Edge-Cloud Collaboration Optimizes Intelligent Machine Tool Task Processing

Check out this new research in Engineering! It introduces an adaptive edge-cloud collaboration method for intelligent machine ...
IEEE

Model-Based Particle Swarm Optimization Filtering Algorithm for Mecanum Wheel Car Parameter Identification With Measurement Noise

Abstract: The Mecanum wheel car (MWC) is increasingly becoming the mainstream automated guided vehicle (AGV) in factory automation, replacing traditional transport vehicles due to its flexibility and ...
Scientific Research Publishing

Optimizing Star-Delta Starter Transitions for Induction Motors with Particle Swarm Algorithm ()

1 Department of Electrical and Electronic Engineering, Faculty of Engineering, Sunyani Technical University, Sunyani, Ghana. 2 Department of Electrical and Electronic Engineering, Akenten Appiah-Menka ...
IEEE

Dual-Frequency Power Amplifiers’ Design Based on Improved Multiobjective Particle Swarm Optimization Algorithm

Abstract: This article proposes an improved differential evolution multiobjective particle swarm optimization algorithm (DEV-MOPSO) for the design of dual-band power amplifiers (PAs). This algorithm ...
Scientific Research Publishing

Wang, H. and Yan, X. (2015) Optimizing the Echo State Network with a Binary Particle Swarm Optimization Algorithm. Knowledge-Based Systems, 86, 182-193.

ABSTRACT: This paper is devoted to studying the dynamic event-triggered consensus problem in distributed Echo State Networks (ESNs). The traditional ESN problem can be formulated as a set of ...