A GA-based fuzzy logic approach to mobile robot navigation in unknown dynamic environments with moving obstacles

2009 ◽  
Author(s):  
Sua Tan ◽  
Anmin Zhu ◽  
Simon X. Yang
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Robot Navigation ◽  
Dynamic Environments ◽  
Mobile Robot Navigation ◽  
Moving Obstacles ◽  
Fuzzy Logic Approach ◽  
Logic Approach

A mobile robot navigation method using a fuzzy logic approach

Robotica ◽  
1995 ◽  
Vol 13 (5) ◽  
pp. 437-448 ◽  
Author(s):  
Bertrand Beaufrere ◽  
Saïd Zeghloul
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Robot Navigation ◽  
Local Environment ◽  
Mobile Robot Navigation ◽  
Simple Method ◽  
Distance Information ◽  
Navigation Algorithm ◽  
Fuzzy Logic Approach ◽  
Logic Approach

SummaryThis paper treats, in a general way, the problem of mobile robot navigation in a totally unknown environment. The different aspects of this problem are dealt with one by one. We begin by introducing a simple method for perceiving and analyzing the robot's local environment based on a limited amount of distance information. Using this analysis as our base, we present a navigation algorithm containing different action modules; some of these actions use Fuzzy Logic. The results presented whether experimental or simulation show that our method is well adapted to this type of problem.

Interactive Motion Planning for Mobile Robot Navigation in Dynamic Environments

2017 ◽  
Vol 21 (4) ◽  
pp. 667-674 ◽  
Author(s):  
Satoshi Hoshino ◽  
◽  
Kenichiro Uchida
Keyword(s):  
Mobile Robot ◽  
Motion Planning ◽  
Robot Navigation ◽  
Dynamic Environments ◽  
Human Robot Interaction ◽  
Mobile Robot Navigation ◽  
Robot Interaction ◽  
Moving Obstacles ◽  
Local Path ◽  
Path Planner

In dynamic environments, taking static and moving obstacles into consideration in motion planning for mobile robot navigation is a technical issue. In this paper, we use a single mobile robot, for which humans are moving obstacles. Since moving humans sometimes get in the way of the robot, it must avoid collisions with them. Furthermore, if a part of the environment is crowded with humans, it is better for the robot to detour around the congested area. For this navigational challenge, we focus on the interaction between humans and the robot, so this paper proposes a motion planner for successfully getting through the human-robot interaction. The interactive motion planner is based on the hybrid use of global and local path planners. Furthermore, the local path planner is executed repetitively during the navigation. Through the human-robot interaction, the robot is enabled not only to avoid the collisions with humans but also to detour around congested areas. The emergence of this movement is the main contribution of this paper. We discuss the simulation results in terms of the effectiveness of the proposed motion planner for robot navigation in dynamic environments that include humans.

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