World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
10967
World Ranking
5312
National Ranking
109

Electronics and Electrical Engineering

D-Index
49
Citations
10807
World Ranking
2911
National Ranking
58

Overview

Alcherio Martinoli is affiliated with École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans the fields of Engineering and Computer Science, with a focus on various subfields including Computer Networks and Communications, Insect Science, Biomedical Engineering, Artificial Intelligence, and Electrical and Electronic Engineering.

The main topics covered in Martinoli's work include:

  • Insect Pheromone Research and Control
  • Distributed Control Multi-Agent Systems
  • Advanced Chemical Sensor Technologies
  • Robotic Path Planning Algorithms
  • Modular Robots and Swarm Intelligence
  • Indoor and Outdoor Localization Technologies
  • Underwater Vehicles and Communication Systems

They have contributed to multiple research papers published in notable venues. Recent publications include:

  • Clustering and Informative Path Planning for 3D Gas Distribution Mapping: Algorithms and Performance Evaluation, 2022, IEEE Robotics and Automation Letters
  • Particle Source Localization With a Low-Cost Robotic Sensor System: Algorithmic Design and Performance Evaluation, 2020, IEEE Sensors Journal
  • GaSLAM: An Algorithm for Simultaneous Gas Source Localization and Gas Distribution Mapping in 3D, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • 3D Gas Sensing with Multiple Nano Aerial Vehicles: Interference Analysis, Algorithms and Experimental Validation, 2023, Sensors
  • A modular functional framework for the design and evaluation of multi-robot navigation, 2021, Robotics and Autonomous Systems

Martinoli frequently publishes in venues such as:

  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Sensors
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • IEEE Robotics and Automation Letters
  • IEEE Sensors Journal

The scientist has collaborated extensively with several co-authors, including:

  • Cyrill Baumann
  • Chiara Ercolani
  • Anwar Quraishi
  • I. Kagan Erunsal
  • Lixuan Tang

Best Publications

  • The e-puck, a Robot Designed for Education in Engineering

    Francesco Mondada;Michael Bonani;Xavier Raemy;James Pugh

  • Social Integration of Robots into Groups of Cockroaches to Control Self-Organized Choices

    José Halloy;Grégory Sempo;Gilles Caprari;Colette Rivault

  • Distributed odor source localization

    A.T. Hayes;A. Martinoli;R.M. Goodman

  • A review of probabilistic macroscopic models for swarm robotic systems

    Kristina Lerman;Alcherio Martinoli;Aram Galstyan

  • Modeling Swarm Robotic Systems: A Case Study in Collaborative Distributed Manipulation

    Alcherio Martinoli;Kjerstin Easton;William Agassounon

  • Collaboration Through the Exploitation of Local Interactions in Autonomous Collective Robotics: The Stick Pulling Experiment

    Auke Jan Ijspeert;Alcherio Martinoli;Aude Billard;Luca Maria Gambardella

  • Inspiring and Modeling Multi-Robot Search with Particle Swarm Optimization

    J. Pugh;A. Martinoli

  • Understanding collective aggregation mechanisms: From probabilistic modelling to experiments with real robots

    Alcherio Martinoli;Auke Jan Ijspeert;Francesco Mondada

  • SwisTrack - a flexible open source tracking software for multi-agent systems

    T. Lochmatter;P. Roduit;C. Cianci;N. Correll

  • A macroscopic analytical model of collaboration in distributed robotic systems

    Kristina Lerman;Aram Galstyan;Alcherio Martinoli;Auke Ijspeert

  • Towards multi-level modeling of self-assembling intelligent micro-systems

    Grégory Mermoud;Juergen Brugger;Alcherio Martinoli

  • Swarm robotic odor localization

    A.T. Hayes;A. Martinoli;R.M. Goodman

  • Swarm robotic odor localization: Off-line optimization and validation with real robots

    Adam T. Hayes;Alcherio Martinoli;Rodney M. Goodman

  • OpenSense: open community driven sensing of environment

    Karl Aberer;Saket Sathe;Dipanjan Chakraborty;Alcherio Martinoli

  • Multi-robot learning with particle swarm optimization

    Jim Pugh;Alcherio Martinoli

  • A Fast Onboard Relative Positioning Module for Multirobot Systems

    J. Pugh;X. Raemy;C. Favre;R. Falconi

  • Efficiency and robustness of threshold-based distributed allocation algorithms in multi-agent systems

    William Agassounon;Alcherio Martinoli

  • Communication in a swarm of miniature robots: the e-Puck as an educational tool for swarm robotics

    Christopher M. Cianci;Xavier Raemy;Jim Pugh;Alcherio Martinoli

  • Particle swarm optimization for unsupervised robotic learning

    J. Pugh;A. Martinoli;Y. Zhang

  • Comparative Study of Market-Based and Threshold-Based Task Allocation

    Nidhi Kalra;Alcherio Martinoli

  • Springer Tracts in Advanced Robotics

    T Lochmatter;E Aydin Göl;I Navarro;A Martinoli

Frequent Co-Authors

Nikolaus Correll
Nikolaus Correll University of Colorado Boulder
Jürgen Brugger
Jürgen Brugger École Polytechnique Fédérale de Lausanne
Francesco Mondada
Francesco Mondada École Polytechnique Fédérale de Lausanne
Auke Jan Ijspeert
Auke Jan Ijspeert École Polytechnique Fédérale de Lausanne
Antonio M. Pascoal
Antonio M. Pascoal Instituto Superior Técnico
Luca Maria Gambardella
Luca Maria Gambardella Dalle Molle Institute for Artificial Intelligence Research
Denis Gillet
Denis Gillet École Polytechnique Fédérale de Lausanne
Aude Billard
Aude Billard École Polytechnique Fédérale de Lausanne
Riccardo Poli
Riccardo Poli University of Essex
Mauro Birattari
Mauro Birattari Université Libre de Bruxelles

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those considering Electronics and Electrical Engineering in the USA, exploring flexible education options can be crucial. Many students benefit from competency based universities, which allow learners to progress by demonstrating mastery rather than spending fixed time in class. This approach is ideal for self-motivated students seeking efficiency and personalized pacing.

Additionally, online degrees provide valuable opportunities for non-traditional learners, including military families. Programs specifically designed for online degrees for military spouses offer the flexibility needed to balance education with frequent moves and deployments.

Flexibility is further enhanced by institutions offering best online colleges with weekly start dates, allowing students to begin their studies anytime throughout the year without waiting for traditional semesters.

For those looking to enter the workforce quickly or upskill in a specific area, exploring short certificate programs that pay well online can be a smart choice. These programs often complement a traditional engineering degree by providing targeted skills and improving job prospects.

Best Scientists Citing Alcherio Martinoli

Trending Scientists

Recently Published Articles