A Behavior-Based Mobile Robot With a Visual Landmark-Recognition System

  title={A Behavior-Based Mobile Robot With a Visual Landmark-Recognition System},
  author={Hao Li and Simon X. Yang},
In this paper, based on behavior-based artificial intelligence we have built a fully autonomous mobile robot. Several modules are developed for the mobile robot to implement different levels of competences and behaviors, where each module itself generates behaviors. New modules can be easily added to the robot system to improve in the competence without changing any existing modules. A vision-based landmark recognition system for robot navigation is developed as the highest layer in the… CONTINUE READING
Highly Cited
This paper has 68 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 31 extracted citations

An Endocrine System Inspired Behavior Selecting Algorithm for Moving Robot System

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) • 2015
View 1 Excerpt

Indoor navigation of mobile robot using fuzzy logic controller

2015 3rd International Conference on Signal Processing, Communication and Networking (ICSCN) • 2015

Development of a fuzzy logic wall following controller for steering mobile robots

2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY) • 2013

69 Citations

Citations per Year
Semantic Scholar estimates that this publication has 69 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 19 references

A robust layered control system for a mobile robot

IEEE J. Robotics and Automation • 1986
View 3 Excerpts
Highly Influenced

Sensor fusion in mobile robot: some perspectives

J. Gu, M. Meng, A. Cook, P. Liu
Proc. 4th World Congr. Intelligent Control and Automation, 2002, pp. 1194–1199. • 2002
View 1 Excerpt

Robust scene recognition using a GA and real-world raw image

Measurement , vol. 29, no. 4, pp. 249–267, 2001. • 2001
View 1 Excerpt

Pattern recognition using a genetic algorithm

S. Auwatanamongkol
Proc. 2000 Congr. Evolutionary Computation , San Diego, CA, 2000, pp. 822–828. • 2000
View 1 Excerpt

Similar Papers

Loading similar papers…