His primary scientific interests are in Robot, Artificial intelligence, Mobile robot, Swarm behaviour and Swarm robotics. His Robot research includes elements of Control engineering, Algorithm and Simulation. Alcherio Martinoli has included themes like Swarm intelligence and Machine learning in his Artificial intelligence study.
Alcherio Martinoli has researched Mobile robot in several fields, including Distributed algorithm, Bearing and Computer vision. The concepts of his Swarm behaviour study are interwoven with issues in Software, Real-time computing and Embedded system. His research integrates issues of Particle swarm optimization and Multi-swarm optimization in his study of Swarm robotics.
His scientific interests lie mostly in Robot, Artificial intelligence, Mobile robot, Simulation and Control engineering. His work carried out in the field of Robot brings together such families of science as Swarm behaviour, Probabilistic logic and Particle swarm optimization. His Particle swarm optimization study integrates concerns from other disciplines, such as Robot learning and Obstacle avoidance.
Alcherio Martinoli usually deals with Artificial intelligence and limits it to topics linked to Swarm intelligence and Ant colony optimization algorithms. Alcherio Martinoli works mostly in the field of Mobile robot, limiting it down to topics relating to Wind tunnel and, in certain cases, Tracking, as a part of the same area of interest. The study incorporates disciplines such as Real-time computing and Distributed computing in addition to Simulation.
The scientist’s investigation covers issues in Robot, Artificial intelligence, Algorithm, Control engineering and Real-time computing. His studies in Robot integrate themes in fields like Tracking, Simulation and Wind tunnel. Alcherio Martinoli focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Machine learning and, in some cases, Perception.
His Algorithm research integrates issues from Probabilistic logic, Obstacle avoidance and Concurrency. His Real-time computing research includes themes of Underwater robotics, Software deployment, Fast marching method and Robustness. His study in Mobile robot is interdisciplinary in nature, drawing from both Algorithm design, Control theory and Particle swarm optimization.
Alcherio Martinoli spends much of his time researching Robot, Artificial intelligence, Computer vision, Control engineering and Real-time computing. His Robot and Robot kinematics and Mobile robot investigations all form part of his Robot research activities. The various areas that he examines in his Mobile robot study include Swarm robotics, Control theory and Software.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Algorithm and Metric. His work in Computer vision covers topics such as Tracing which are related to areas like Graph based. In general Control engineering study, his work on Mechatronics often relates to the realm of Scale, thereby connecting several areas of interest.
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The e-puck, a Robot Designed for Education in Engineering
Francesco Mondada;Michael Bonani;Xavier Raemy;James Pugh.
Proceedings of the 9th Conference on Autonomous Robot Systems and Competitions (2009)
Distributed odor source localization
A.T. Hayes;A. Martinoli;R.M. Goodman.
IEEE Sensors Journal (2002)
Social Integration of Robots into Groups of Cockroaches to Control Self-Organized Choices
José Halloy;Grégory Sempo;Gilles Caprari;Colette Rivault.
Modeling Swarm Robotic Systems: A Case Study in Collaborative Distributed Manipulation
Alcherio Martinoli;Kjerstin Easton;William Agassounon.
The International Journal of Robotics Research (2004)
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.
Autonomous Robots (2001)
Inspiring and Modeling Multi-Robot Search with Particle Swarm Optimization
J. Pugh;A. Martinoli.
ieee swarm intelligence symposium (2007)
A review of probabilistic macroscopic models for swarm robotic systems
Kristina Lerman;Alcherio Martinoli;Aram Galstyan.
simulation of adaptive behavior (2004)
Understanding collective aggregation mechanisms: From probabilistic modelling to experiments with real robots
Alcherio Martinoli;Auke Jan Ijspeert;Francesco Mondada.
Robotics and Autonomous Systems (1999)
SwisTrack - a flexible open source tracking software for multi-agent systems
T. Lochmatter;P. Roduit;C. Cianci;N. Correll.
intelligent robots and systems (2008)
A macroscopic analytical model of collaboration in distributed robotic systems
Kristina Lerman;Aram Galstyan;Alcherio Martinoli;Auke Ijspeert.
Artificial Life (2002)
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