Self-stabilized Flocking of a Group of Mobile Robots under Memory Corruption

Robotics has been paid a lot attentions because of its wide applications, like explore unknown planet or rescue people after earthquake or fire. In a group of mobile robots, robots are usually weak and are easy to get crash, especially working in dangerous or harsh environment. Unfortunately, to the best of our knowledge, only a few studies address on robot failure, especially transient failure. Therefore, in this paper, based on a pair of fault tolerant flocking algorithms which we proposed, we discuss if it is possible to make robots work together once robots´ memory experiences corruption. Otherwise, we further explore the reason and then try to revise the existing algorithm to make robots self-stabilized.