Strapline:The international journal of assembly technology and management
Category:Mechanical and Materials Engineering
Table Of Contents: Volume 36 Issue 2 - Special Issue: Bio-Inspired Manipulation and Robotics
The purpose of this paper is achieving a leader–follower formation of unmanned aerial vehicles which is a cooperative scenario inspired by formation flying of living…
This paper aims to present a novel particle swarm optimization (PSO) based on a non-homogeneous Markov chain and differential evolution (DE) for path planning of…
The purpose of this study is to develop an intelligent methodology to find out an optimal feasible assembly sequence while considering the assembly predicates.
The purpose of this paper is to consider the smooth path planning problem for a mobile robot based on the genetic algorithm (GA) and the Bezier curve.
Bio-inspired approach to invariant recognition and classification of fabric weave patterns and yarn colorBabar Khan, Fang Han, Zhijie Wang, Rana J. Masood
This paper aims to propose a biologically inspired processing architecture to recognize and classify fabrics with respect to the weave pattern (fabric texture) and yarn…
The most prominent example of scan matching algorithm is the Iterative Closest Point (ICP) algorithm. But the ICP algorithm and its variants excessively depend on the…
This paper aims to present a bio-inspired neural network for improvement of information processing capability of the existing artificial neural networks.
Neural-network-based containment control of nonlinear multi-agent systems under communication constraintsChao Ma
The purpose of this paper is to investigate the neural-network-based containment control of multi-agent systems with unknown nonlinear dynamics. Moreover, communication…
The purpose of this paper is to improve the accuracy of the facial expression recognition by using genetic algorithm (GA) with an appropriate fitness evaluation function…
This paper aims to propose an innovative kinematic control algorithm for redundant robotic manipulators. The algorithm takes advantage of a bio-inspired approach.
Online date, start – end:1980
Copyright Holder:Emerald Publishing Limited
- Prof Hong Qiao