Title :
Goal-oriented behaviour-based visual navigation
Author :
Cheng, Gordon ; Zelinsky, Alexander
Author_Institution :
Robotic Syst. Lab., Australian Nat. Univ., Canberra, ACT, Australia
Abstract :
We describe a mobile robot system that performs goal-oriented visual navigation using a behaviour-based architecture. The system was constructed as a result of our previous research (Zelinsky et al. (1995)) into behaviour-based mobile robot systems. Since the system is implemented using real-time vision it is able to navigate in dynamic and unknown environments. The most important feature of this navigation system is that the mobile robot can learn to resolve conflicts between its own internal behaviours, such as moving to a goal while avoiding obstacles. Our robot is able to efficiently avoid obstacles while trying to reach a goal. Experimental results of an implementation on a Yamabico mobile robot are presented
Keywords :
learning systems; mobile robots; navigation; path planning; real-time systems; robot vision; Yamabico; behaviour-based navigation; goal-oriented navigation; learning system; mobile robot; obstacle avoidance; real-time system; visual navigation; Algorithm design and analysis; Australia; Cleaning; Laboratories; Mobile robots; Real time systems; Robot sensing systems; Solid modeling; Sonar navigation; Whales;
Conference_Titel :
Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on
Conference_Location :
Leuven
Print_ISBN :
0-7803-4300-X
DOI :
10.1109/ROBOT.1998.680968