Grégory Mermoud

Grégory Mermoud

Software Engineer at Cisco

Location
Geneva Area, Switzerland
Industry
Computer-Software

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Übersicht von Grégory Mermoud

Aktuell
Ausbildung
  • Ecole polytechnique fédérale de Lausanne
  • Ecole polytechnique fédérale de Lausanne
Kontakte

324 Kontakte

Zusammenfassung von Grégory Mermoud

* Highly technical software engineer and data scientist specialized in distributed intelligent systems
* Deep expertise in the design and the analysis of large-scale distributed and connected embedded systems (e.g., internet of things, smart energy grids, smart cities, distributed robotics, self-assembly)
* Design and development of software and mathematical tools for designing and controlling systems that involve several million of individual nodes and generate terabytes of real-time data
* Broad multidisciplinary background (M.Sc. in computer science, PhD in robotics, extensive experience in machine learning, statistical modeling, and distributed intelligence)

Berufserfahrung von Grégory Mermoud

Public Company; 10,001+ employees; CSCO; Computer-Netzwerke industry

June 2012Present (1 year) Rolle, Switzerland

Development of advanced prototypes and new disruptive technologies for the Internet of Things, with a focus on connected energy networks and smart cities.

Ausbildung von Grégory Mermoud

Ecole polytechnique fédérale de Lausanne

20072012

Ecole polytechnique fédérale de Lausanne

20012006

Organisationen von Grégory Mermoud

  • IEEE

    Member
    • 2005 to Present

Veröffentlichungen von Grégory Mermoud

  • Real-Time Automated Modeling and Control of Self-Assembling Systems

    • 2012 IEEE International Conference on Robotics and Automation (ICRA)
    • May 14, 2012
    Authors: Grégory Mermoud, Massimo Mastrangeli, Utkarsh Upadhyay, Alcherio Martinoli

    We present the M3 framework, a formal and generic computational framework for modeling and controlling stochastic distributed systems of purely reactive robots in an automated and real-time fashion. Based on the trajectories of the robots, the framework builds up an internal microscopic representation of the system, which then serves as a blueprint of models at higher abstraction levels. These models are then calibrated using a Maximum Likelihood Estimation (MLE) algorithm. We illustrate the structure and performance of the framework by performing the online optimization of a bang-bang controller for the stochastic self-assembly of water-floating, magnetically latching, passive modules. The experimental results demonstrate that the generated models can successfully optimize the assembly of desired structures.

  • Distributed Autonomous Robotic Systems: The 10th International Symposium

    • Springer Tracts in Advanced Robotics
    • September 6, 2012
    Authors: Grégory Mermoud, Alcherio Martinoli, Francesco Mondada, Nikolaus Correll, Magnus Egerstedt, M. Ani Hsieh, Lynne E. Parker, Kasper Stoy

    Distributed robotics is a rapidly growing, interdisciplinary research area lying at the intersection of computer science, communication and control systems, and electrical and mechanical engineering. The goal of the Symposium on Distributed Autonomous Robotic Systems (DARS) is to exchange and stimulate research ideas to realize advanced distributed robotic systems. This volume of proceedings includes 43 original contributions presented at the Tenth International Symposium on Distributed Autonomous Robotic Systems (DARS 2010), which was held in November 2010 at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.

Sprachen von Grégory Mermoud

  • French

    (Native or bilingual proficiency)
  • English

    (Full professional proficiency)

Preise und Auszeichnungen von Grégory Mermoud

  • Finalist of the Georges Giralt PhD Award

    European Robotics Research Network
    • March 2013

    Award recognizing the best robotics PhD theses in Europe: 3 finalists out of 37 submissions.

  • Finalist of the Best Robotics Paper Award, AAMAS 2010

    CoTeSys, the German Cluster of Excellence
    • May 2010

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