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We study the problem of Byzantine agreement in synchronous systems where malicious agents can move from one process to another and try to corrupt them. This model is known as mobile Byzantine faults. In a previous result [10], Garay has shown that n > 6t (n is the total number of processes, and t is the number of mobile faults) is sufficient to solve this(More)
Reaching agreement among a set of mobile robots is one of the most fundamental issues in distributed robotic systems. This problem is often illustrated by the gathering problem, where the robots must self-organize and meet at some location not determined in advance, and without the help of some global coordinate system. While very simple to express, this(More)
This paper considers a system of asynchronous autonomous mobile robots that can move freely in a two­ dimensional plane with no agreement on a common coordinate system. Startingfrom any initial configuration, the robots are required to eventually gather at a single point, notfixed in advance (gathering problem). Prior work has shown that gathering oblivious(More)
Anonymous mobile robots are often classified into synchronous, semi-synchronous and asynchronous robots when discussing the pattern formation problem. For semi-synchronous robots, all patterns formable with memory are also formable without memory, with the single exception of forming a point (i.e., the gathering) by two robots. (All patterns formable with(More)
Mobile computing can be seen as a natural extension of distributed computing, with the difference that hosts can be physically mobile. This results in many interesting new challenges. The most original aspect of mobile computing with respect to traditional distributed computing is when one considers problems whereby the movements of the host must be(More)
This paper studies the flocking problem, where mobile robots group to form a desired pattern and move together while maintaining that formation. Unlike previous studies of the problem, we consider a system of mobile robots in which a number of them may possibly fail by crashing. Our algorithm ensures that the crash of faulty robots does not bring the(More)
Reaching agreement among a set of mobile robots is one of the most fundamental issues in distributed robotic systems. This problem is often illustrated by the gathering problem, where the robots must self-organize to eventually meet at some arbitrary location. That problem has the advantage that, while being very simple to express, it retains the inherent(More)