48 Papers
131 Citations
Jerome Guzzi is an academic researcher from Dalle Molle Institute for Artificial Intelligence Research. The author has contributed to research in topics: Computer science & Robot. The author has an hindex of 10, co-authored 37 publications. Previous affiliations of Jerome Guzzi include SUPSI.
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Papers
A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots
Alessandro Giusti,Jerome Guzzi,Dan Ciresan,Fang-Lin He,Juan P. Rodriguez,Flavio Fontana,Matthias Faessler,Christian Forster,Jürgen Schmidhuber,Gianni A. Di Caro,Davide Scaramuzza,Luca Maria Gambardella +11 more
- 17 Dec 2016
TL;DR: This work proposes a different approach to perceive forest trials based on a deep neural network used as a supervised image classifier that outperforms alternatives, and yields an accuracy comparable to the accuracy of humans that are tested on the same image classification task.
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Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms
Marco Dorigo,Dario Floreano,Luca Maria Gambardella,Francesco Mondada,Stefano Nolfi,Tarek Baaboura,Mauro Birattari,Michael Bonani,Manuele Brambilla,Arne Brutschy,Daniel Burnier,Alexandre Campo,Anders Lyhne Christensen,Antal Decugniere,Gianni A. Di Caro,Frederick Ducatelle,Eliseo Ferrante,Alexander Förster,Javier Martinez Gonzales,Jerome Guzzi,Valentin Longchamp,Stéphane Magnenat,Nithin Mathews,Marco A. Montes de Oca,Rehan O'Grady,Carlo Pinciroli,Giovanni Pini,Philippe Rétornaz,James F. Roberts,Valerio Sperati,Timothy Stirling,Alessandro Stranieri,Thomas Stützle,Vito Trianni,Elio Tuci,Ali Emre Turgut,Florian Vaussard +36 more
TL;DR: It is believed that swarm robotics designers must embrace heterogeneity if they ever want swarm robotics systems to approach the complexity required of real-world systems.
Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms
M. Dorigo,Dario Floreano,Luca Maria Gambardella,Francesco Mondada,Stefano Nolfi,Tarek Baaboura,Mauro Birattari,M. Bonani,Manuele Brambilla,A. Brutschy,Daniel Burnier,Alexandre Campo,Anders Lyhne Christensen,Antal Decugniere,G. D. Caro,F. Ducatelle,Eliseo Ferrante,Alexander Förster,J. M. Gonzales,Jerome Guzzi,Valentin Longchamp,Stéphane Magnenat,N. Mathews,Marco A. Montes de Oca,Rehan O'Grady,C. Pinciroli,G. Pini,P. Rétornaz,James F. Roberts,Valerio Sperati,Timothy S. Stirling,Alessandro Stranieri,Thomas Stützle,Vito Trianni,Elio Tuci,Ali Emre Turgut,Florian Vaussard +36 more
TL;DR: It is believed that swarm robotics designers must embrace heterogeneity if they ever want swarm robotics systems to approach the complexity required of real-world systems.
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Learning Ground Traversability From Simulations
R. Omar Chavez-Garcia,Jerome Guzzi,Luca Maria Gambardella,Alessandro Giusti +3 more
- 05 Feb 2018
TL;DR: In this article, a convolutional neural network is trained for a specific robot model (wheeled, tracked, legged, snake-like) using simulation data on procedurally generated training terrains; the trained classifier can be applied to unseen large heightmaps to yield oriented traversability maps, and then plan traversable paths.
Human-friendly robot navigation in dynamic environments
Jerome Guzzi,Alessandro Giusti,Luca Maria Gambardella,Guy Theraulaz,Gianni A. Di Caro +4 more
- 06 May 2013
TL;DR: This work develops a novel fully-distributed algorithm for robot local navigation, which implements the same heuristics for mutual avoidance adopted by humans, and is suitable for the use on robots sharing navigation spaces with humans.
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