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Xavier Défago Lab
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The lab studies distributed systems in which many computers and robots work together cooperatively.
AboutAbout the lab
Making distributed systems run correctly and safely.
The Xavier Défago Lab studies distributed systems, in which many computers and robots connected by a network carry out tasks while communicating with one another.
The lab designs distributed algorithms that make distributed systems run correctly, safely, and efficiently.
The lab is interested in problems that lie between the theory of algorithms and the practice of actually running them.
Its work includes cooperative behavior of robots, development of robots for experiments, fundamental theory for secure communication, and applications of blockchain technology.
Key terms
- Distributed system
- A mechanism in which many computers connected by a network cooperate to accomplish a single task
- Distributed algorithm
- A set of procedural rules that lets many computers, communicating with each other, all operate correctly together
- Byzantine consensus
- An arrangement that lets the whole system reach the same conclusion even if some nodes spread false information
ResearchResearch themes
The lab studies resilient distributed systems and algorithms. It aims in particular to support the coordination of sensor networks and groups of mobile robots, and its work spans algorithms, networking, fault tolerance, computational geometry, and software engineering.
*Illustrative imageByzantine Consensus
The lab designs distributed algorithms that allow the whole system to reach consistent decisions even if some nodes are taken over and spread false information. Consensus is a central problem in distributed systems and underlies services for coordination.
*Illustrative imagePerformance Evaluation of Distributed Algorithms
The lab builds tools for properly measuring the performance of distributed algorithms and protocols, and how well they scale as the system grows. It prepares performance metrics, prototyping environments, and network experiments.
*Illustrative imageFault Tolerance in Robot Swarms
The lab aims to build multi-robot systems based on algorithms whose correctness has been formally proven. In wireless ad hoc communication for robots, a distinguishing feature is that the movement of the robots themselves is treated as something to be controlled.
*Illustrative imageRobot Coordination Algorithms
The lab tackles the problem of many mobile robots working together on tasks, taking a global view of the whole system. It extracts abstract problems common to many challenges from actual tasks and searches for the minimum conditions under which they can be achieved.
MembersFaculty
The Xavier Défago Lab's members consist of faculty, doctoral and master's students, and secretaries.As of 2026
- ProfessorXavier Xavier DéfagoPublications ↗
- Project Associate ProfessorFrancois BonnetPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Kilobot robot swarm” asuscreative / CC BY-SA 4.0 (cropped)
- Byzantine Consensus: “Energy Efficient Processors” Intel Free Press / CC BY 2.0 (cropped)
- Performance Evaluation of Distributed Algorithms: “Cabinet Asile” Robert.Harker / CC BY-SA 3.0 (cropped)
- Fault Tolerance in Robot Swarms: “Swarmbots ( )” Anders Sandberg from Oxford, UK / CC BY 2.0 (cropped)
- Robot Coordination Algorithms: “Pheromone-COSphi” Farshadarvin / CC BY-SA 4.0 (cropped)
- Related lab (Yokota Lab): “Dutch national supercomputer "Huygens"” Dennis van Zuijlekom / CC BY-SA 2.0 (cropped)
- Related lab (Jun Miyazaki Lab): “CSC1941” Alexkisi / CC BY-SA 3.0 (cropped)
- Related lab (Gondow Lab): “Eclipse suspended at breakpoint” Simeon87 / Public domain (cropped)
- Related lab (Shinpei Hayashi Lab): “CodeCharta Software Map 1” Roki68199 / CC BY-SA 4.0 (cropped)
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