Notice of Violation of IEEE Publication Principles: Artificial Immune Algorithm based robot obstacle-avoiding path planning

Notice of Violation of IEEE Publication Principles

"Artificial Immune Algorithm based Robot Obstacle-Avoiding Path Planning"
by Dehuai Zeng, Gang Xu, Cunxi Xie, Degui Yu
in the Proceedings of the IEEE International Conference on Automation and Logistics, September 2008, pp. 798-803

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains significant portions of original text from the paper cited below. The original text was copied with insufficient attribution and without permission.

"An Immunological Approach to Mobile Robot Reactive Navigation"
by Guan-Chun Luh, Wei-Wen Liu
in Applied Soft Computing, Vol 8, No 1, December 2006, Elsevier, pp. 30-45


Planning of the optimal path has always been the target pursued by many researchers, and its application in mobile robot is one of the most important research topics. This paper aims to plan the obstacle-avoiding path for mobile robots based on the artificial immune algorithm (AIA) developed from the immune principle. This paper analyzes the motion characteristic of the car-like autonomous mobile robot. An immunity algorithm adapting capabilities of the immune system is proposed and enable robot to reach the target object safely and successfully fulfill its task through optimal path and with minimal rotation angle efficiency. Simulation results show that the mobile robot is capable of avoiding obstacles, escaping traps, and reaching the goal efficiently and effectively.