The Role of Environmental and Controller Complexity in the Distributed Optimization of Multi-Robot Obstacle Avoidance

doi 10.1109/icra.2014.6906912
Full Text
Abstract

Available in full text

Date
Authors
Publisher

IEEE

Related search

Humanoid Robot Moving in Path and Obstacle Avoidance

International Journal of Trend in Scientific Research and Development
2019English

Two-Dimensional Obstacle Avoidance Using Mobile Robot

International Journal for Research in Applied Science and Engineering Technology
2018English

Fuzzy Logic Based Real Time Obstacle Avoidance Controller for a Simplified Model of Hexapod Walking Robot

International Journal of Computer and Electrical Engineering
2014English

Obstacle Avoidance for Mobile Robot Considering Limitation of Motion.

Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Mechanics of MaterialsIndustrialMechanical EngineeringManufacturing Engineering
1998English

Path Finding Robot by Using Obstacle Avoidance System

International Journal for Research in Applied Science and Engineering Technology
2018English

Speed Optimization Control for Wheeled Robot Navigation With Obstacle Avoidance Based on Viability Theory

Automatika
ControlSystems EngineeringComputer Science
2016English

Design of Obstacle Avoidance Controller for Agricultural Tractor Based on ROS

International Journal of Agricultural and Biological Engineering
AgriculturalEngineeringBiological Sciences
2019English

Distributed Scalable Multi-Robot Learning Using Particle Swarm Optimization

Swarm Intelligence
Artificial Intelligence
2009English

Modeling and Analysis of the Obstacle-Avoidance Strategies for a Mobile Robot in a Dynamic Environment

Mathematical Problems in Engineering
MathematicsEngineering
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy