Fuzzy behavior control for autonomous mobile robot in dynamic environment with multiple omnidirectional vision system

Author(s):  
W. Shimizuhira ◽  
K. Fujii ◽  
Y. Maeda
Author(s):  
Yoichiro Maeda ◽  
◽  
Wataru Shimizuhira ◽  

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.


Author(s):  
Elmer P. Dadios ◽  
◽  
Kaoru Hirota ◽  
Michelle L. Catigum ◽  
Albert C. Gutierrez ◽  
...  

We developed an autonomous mobile robot with neural network (NN) vision that searches for and collects golf balls on an open or an indoor golf driving range. The robot recognizes range borderlines by red stripes. Scattered golf balls are collected using mechanically designed rotating blades. The NN vision identifies objects that are not golf balls and prevents the robot from picking them. The vision system is robust enough to navigate an open field and pick up the golf balls any time of day. Results of the experiments showed that our proposal operates accurately and reliably.


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