DeepAI AI Chat
Log In Sign Up

Multi-robot Cooperative Box-pushing problem using Multi-objective Particle Swarm Optimization Technique

by   Arnab Ghosh, et al.

The present work provides a new approach to solve the well-known multi-robot co-operative box pushing problem as a multi objective optimization problem using modified Multi-objective Particle Swarm Optimization. The method proposed here allows both turning and translation of the box, during shift to a desired goal position. We have employed local planning scheme to determine the magnitude of the forces applied by the two mobile robots perpendicularly at specific locations on the box to align and translate it in each distinct step of motion of the box, for minimization of both time and energy. Finally the results are compared with the results obtained by solving the same problem using Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The proposed scheme is found to give better results compared to NSGA-II.


Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine

The main feature of the Dynamic Multi-objective Optimization Problems (D...

Multi objective Fitness Dependent Optimizer Algorithm

This paper proposes the multi objective variant of the recently introduc...

Water Distribution System Design Using Multi-Objective Particle Swarm Optimisation

Application of the multi-objective particle swarm optimisation (MOPSO) a...

Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator

A new kind of six degree-of-freedom teaching manipulator without actuato...

A Coalition Formation Algorithm for Multi-Robot Task Allocation in Large-Scale Natural Disasters

In large-scale natural disasters, humans are likely to fail when they at...

Multi-objective Evolutionary Approach to Grey-Box Identification of Buck Converter

The present study proposes a simple grey-box identification approach to ...