scholarly journals Behavior Control of an Autonomous Mobile Robot in Dynamically Changing Environment.

1994 ◽  
Vol 12 (4) ◽  
pp. 583-589 ◽  
Author(s):  
Shun'ichi Asaka ◽  
Shigeki Ishikawa
Keyword(s):  
Mobile Robot ◽  
Autonomous Mobile Robot ◽  
Behavior Control ◽  
Changing Environment

scholarly journals A Method of Piloting an Autonomous Mobile Robot in Dynamically Changing Environment Including Moving Obstacles

1996 ◽  
Vol 8 (1) ◽  
pp. 81-92
Author(s):  
Shigeki Ishikawa ◽  
◽  
Shun’ichi Asaka
Keyword(s):  
Mobile Robot ◽  
Sensory Processing ◽  
Sensory Information ◽  
Range Data ◽  
Autonomous Mobile Robot ◽  
Steering Angle ◽  
Changing Environment ◽  
Moving Obstacles ◽  
Locomotion System ◽  
Navigation Method

In this paper, we present a sensor-based navigation method for an autonomous mobile robot in a dynamically changing environment with stationary and moving obstacles. A navigation task needs to navigate a robot to a destination along a predefined path, and to avoid obstacles, if necessary. However, the environment is always changing, and sensory information is quite limited (actually, we have many limitations on sensory processing in connection with a dynamically changing environment). We have to describe an efficient navigation manner onto the robot using simple sensory information. The first step in our approach was to use fuzzy control. Based on results of experiments, we propose a new navigation method for an autonomous mobile robot in a dynamically changing environment. The method determines a steering angle and a velocity to be sent to a low-level locomotion system. Two major parts are involved in this operation: one is the task of tracing a planned path; and the other is the task of avoiding obstacles. The distribution weight between their outputs is determined with a range data and differential range data between samplings.

scholarly journals Multilayered Fuzzy Behavior Control for an Autonomous Mobile Robot with Multiple Omnidirectional Vision System: MOVIS

2007 ◽  
Vol 11 (1) ◽  
pp. 21-27
Author(s):  
Yoichiro Maeda ◽  
◽  
Wataru Shimizuhira ◽  
Keyword(s):  
Mobile Robot ◽  
Measurement Accuracy ◽  
Vision System ◽  
Dynamic Environment ◽  
Fuzzy Reasoning ◽  
Omnidirectional Vision ◽  
Autonomous Mobile Robot ◽  
Behavior Control ◽  
Soccer Robot ◽  
Absolute Coordinates

We propose a multiple omnidirectional vision system (MOVIS) with three omnidirectional cameras and calculation for measuring an object position and localization in an autonomous mobile robot. In identifying the robot’s location, we improved measurement accuracy by correcting the absolute location based on landmark measurement error in the origin of absolute coordinates. We propose omnidirectional behavior control for collision avoidance and object chasing using fuzzy reasoning in an autonomous mobile robot with MOVIS. We also report experimental results confirming the efficiency of our proposal using a RoboCup soccer robot in a dynamic environment.

Control of Autonomous Mobile Robot Using Map Matching with Optimized Search Range

2013 ◽  
Vol 133 (5) ◽  
pp. 502-509 ◽  
Author(s):  
Kouhei Komiya ◽  
Shunsuke Miyashita ◽  
Yutaka Maruoka ◽  
Yutaka Uchimura
Keyword(s):  
Mobile Robot ◽  
Map Matching ◽  
Autonomous Mobile Robot ◽  
Search Range

FUZZY COGNITIVE MAPS EMBEDDED IN A LOW COST AUTONOMOUS MOBILE ROBOT

2019 ◽  
Author(s):  
Márcio Mendonça ◽  
Guilherme Bender Sartori ◽  
Lucas Botoni de Souza ◽  
Giovanni Bruno Marquini Ribeiro
Keyword(s):  
Mobile Robot ◽  
Low Cost ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Autonomous Mobile Robot
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