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Alcherio Martinoli: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jim Pugh, Loïc Segapelli, Alcherio Martinoli
    Applying Aspects of Multi-robot Search to Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    ANTS Workshop, 2006, pp:506-507 [Conf]
  2. William Agassounon, Alcherio Martinoli
    Efficiency and robustness of threshold-based distributed allocation algorithms in multi-agent systems. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2002, pp:1090-1097 [Conf]
  3. Jim Pugh, Alcherio Martinoli
    Multi-robot learning with particle swarm optimization. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2006, pp:441-448 [Conf]
  4. Adam T. Hayes, Alcherio Martinoli, R. M. Goodman
    Comparing Distributed Exploration Strategies with Simulated and Autonomous Robots. [Citation Graph (0, 0)][DBLP]
    DARS, 2000, pp:261-272 [Conf]
  5. Aude Billard, Auke Jan Ijspeert, Alcherio Martinoli
    Adaptive Exploration of a Dynamic Environment by a Group of Communicating Robots. [Citation Graph (0, 0)][DBLP]
    ECAL, 1999, pp:596-605 [Conf]
  6. Alcherio Martinoli, Auke Jan Ijspeert, Luca Maria Gambardella
    A Probabilistic Model for Understanding and Comparing Collective Aggregation Mechansims. [Citation Graph (0, 0)][DBLP]
    ECAL, 1999, pp:575-584 [Conf]
  7. Ling Li, Alcherio Martinoli, Yaser S. Abu-Mostafa
    Emergent Specialization in Swarm Systems. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:261-266 [Conf]
  8. Alcherio Martinoli, E. Franzi, O. Matthey
    Towards a Reliable Set-Up for Bio-Inspired Collective Experiments with Real Robots. [Citation Graph (0, 0)][DBLP]
    ISER, 1997, pp:597-608 [Conf]
  9. Alcherio Martinoli, Francesco Mondada
    Collective and Cooperative Group Behaviors: Biologically Inspired Experiments in Robotics. [Citation Graph (0, 0)][DBLP]
    ISER, 1995, pp:3-10 [Conf]
  10. Kristina Lerman, Alcherio Martinoli, Aram Galstyan
    A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems. [Citation Graph (0, 0)][DBLP]
    Swarm Robotics, 2004, pp:143-152 [Conf]
  11. Pierre Roduit, Alcherio Martinoli, Jacques Jacot
    Behavioral Analysis of Mobile Robot Trajectories Using a Point Distribution Model. [Citation Graph (0, 0)][DBLP]
    SAB, 2006, pp:819-830 [Conf]
  12. Kristina Lerman, Aram Galstyan, Alcherio Martinoli, Auke Jan Ijspeert
    A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems. [Citation Graph (0, 0)][DBLP]
    Artificial Life, 2001, v:7, n:4, pp:375-393 [Journal]
  13. Alcherio Martinoli
    Collective Complexity out of Individual Simplicity: A Review of Swarm Intelligence: From Natural to Artificial Systems, by Eric Bonabeau, Marco Dorigo, and Guy Theraulaz. [Citation Graph (0, 0)][DBLP]
    Artificial Life, 2001, v:7, n:3, pp:315-319 [Journal]
  14. William Agassounon, Alcherio Martinoli, Kjerstin Easton
    Macroscopic Modeling of Aggregation Experiments using Embodied Agents in Teams of Constant and Time-Varying Sizes. [Citation Graph (0, 0)][DBLP]
    Auton. Robots, 2004, v:17, n:2-3, pp:163-192 [Journal]
  15. Auke Jan Ijspeert, Alcherio Martinoli, Aude Billard, Luca Maria Gambardella
    Collaboration Through the Exploitation of Local Interactions in Autonomous Collective Robotics: The Stick Pulling Experiment. [Citation Graph (0, 0)][DBLP]
    Auton. Robots, 2001, v:11, n:2, pp:149-171 [Journal]
  16. Aude Billard, Auke Jan Ijspeert, Alcherio Martinoli
    A Multi-robot System for Adaptive Exploration of a Fast-changing Environment: Probabilistic Modeling and Experimental Study. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1999, v:11, n:3-4, pp:359-379 [Journal]
  17. Alcherio Martinoli, Kjerstin Easton, William Agassounon
    Modeling Swarm Robotic Systems: a Case Study in Collaborative Distributed Manipulation. [Citation Graph (0, 0)][DBLP]
    I. J. Robotic Res., 2004, v:23, n:4-5, pp:415-436 [Journal]
  18. Alcherio Martinoli, Auke Jan Ijspeert, Francesco Mondada
    Understanding collective aggregation mechanisms: From probabilistic modelling to experiments with real robots. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1999, v:29, n:1, pp:51-63 [Journal]
  19. Nikolaus Correll, Alcherio Martinoli
    Robust Distributed Coverage using a Swarm of Miniature Robots. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:379-384 [Conf]
  20. Jim Pugh, Alcherio Martinoli
    The Cost of Reality: Effects of Real-World Factors on Multi-Robot Search. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:397-404 [Conf]
  21. Nikolaus Correll, Alcherio Martinoli
    Modeling and Analysis of Beaconless and Beacon-Based Policies for a Swarm-Intelligent Inspection System. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:2477-2482 [Conf]
  22. Christopher M. Cianci, Xavier Raemy, Jim Pugh, Alcherio Martinoli
    Communication in a Swarm of Miniature Robots: The e-Puck as an Educational Tool for Swarm Robotics. [Citation Graph (0, 0)][DBLP]
    Swarm Robotics, 2006, pp:103-115 [Conf]

  23. Towards multi-level modeling of self-assembling intelligent micro-systems. [Citation Graph (, )][DBLP]

  24. Aggregation-mediated collective perception and action in a group of miniature robots. [Citation Graph (, )][DBLP]

  25. Simulation Experiments with Bio-inspired Algorithms for Odor Source Localization in Laminar Wind Flow. [Citation Graph (, )][DBLP]

  26. Relative Localization and Communication Module for Small-scale Multi-robot Systems. [Citation Graph (, )][DBLP]

  27. A comparison of casting and spiraling algorithms for odor source localization in laminar flow. [Citation Graph (, )][DBLP]

  28. Exploration of an incremental suite of microscopic models for acoustic event monitoring using a robotic sensor network. [Citation Graph (, )][DBLP]

  29. Theoretical analysis of three bio-inspired plume tracking algorithms. [Citation Graph (, )][DBLP]

  30. Specialization as an optimal strategy under varying external conditions. [Citation Graph (, )][DBLP]

  31. Towards optimally efficient field estimation with threshold-based pruning in real robotic sensor networks. [Citation Graph (, )][DBLP]

  32. Comparing and modeling distributed control strategies for miniature self-assembling robots. [Citation Graph (, )][DBLP]

  33. Graph based distributed control of non-holonomic vehicles endowed with local positioning information engaged in escorting missions. [Citation Graph (, )][DBLP]

  34. Collective Inspection of Regular Structures using a Swarm of Miniature Robots. [Citation Graph (, )][DBLP]

  35. Comparing Coordination Schemes for Miniature Robotic Swarms: A Case Study in Boundary Coverage of Regular Structures. [Citation Graph (, )][DBLP]

  36. Small-Scale Robot Formation Movement Using a Simple On-Board Relative Positioning System. [Citation Graph (, )][DBLP]

  37. Modeling Swarm Robotic Systems. [Citation Graph (, )][DBLP]

  38. Tracking Odor Plumes in a Laminar Wind Field with Bio-inspired Algorithms. [Citation Graph (, )][DBLP]

  39. Distributed Adaptation in Multi-robot Search Using Particle Swarm Optimization. [Citation Graph (, )][DBLP]

  40. Parallel learning in heterogeneous multi-robot swarms. [Citation Graph (, )][DBLP]

  41. Toward multi-level modeling of robotic sensor networks: a case study in acoustic event monitoring. [Citation Graph (, )][DBLP]

  42. SwisTrack - a flexible open source tracking software for multi-agent systems. [Citation Graph (, )][DBLP]

  43. A quantitative method for comparing trajectories of mobile robots using point distribution models. [Citation Graph (, )][DBLP]

  44. SwisTrack: A Tracking Tool for Multi-Unit Robotic and Biological Systems. [Citation Graph (, )][DBLP]

  45. SwisTrack: A Tracking Tool for Multi-Unit Robotic and Biological Systems. [Citation Graph (, )][DBLP]

  46. Evolving Neural Controllers for Collective Robotic Inspection. [Citation Graph (, )][DBLP]

  47. Distributed boundary coverage with a team of networked miniature robots using a robust market-based algorithm. [Citation Graph (, )][DBLP]

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