Author name cluster

Arnaud Grignard

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

4 papers

2 author rows

ICRA Conference 2019 Conference Paper

Urban Swarms: A new approach for autonomous waste management

Antonio Luca Alfeo
Eduardo Castelló Ferrer
Yago Lizarribar Carrillo
Arnaud Grignard
Luis Alonso Pastor
Dylan T. Sleeper
Mario G. C. A. Cimino
Bruno Lepri

Modern cities are growing ecosystems that face new challenges due to the increasing population demands. One of the many problems they face nowadays is waste management, which has become a pressing issue requiring new solutions. Swarm robotics systems have been attracting an increasing amount of attention in the past years and they are expected to become one of the main driving factors for innovation in the field of robotics. The research presented in this paper explores the feasibility of a swarm robotics system in an urban environment. By using bio-inspired foraging methods such as multi-place foraging and stigmergy-based navigation, a swarm of robots is able to improve the efficiency and autonomy of the urban waste management system in a realistic scenario. To achieve this, a diverse set of simulation experiments was conducted using real-world GIS data and implementing different garbage collection scenarios driven by robot swarms. Results presented in this research show that the proposed system outperforms current approaches. Moreover, results not only show the efficiency of our solution, but also give insights about how to design and customize these systems.

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AAMAS Conference 2018 Conference Paper

CityScope Andorra: A Multi-level Interactive and Tangible Agent-based Visualization

Arnaud Grignard
N�ria Maci�
Luis Alonso Pastor
Ariel Noyman
Yan Zhang
Kent Larson

This study proposes a novel information visualization approach developed and deployed in the state of Andorra. We present a framework to analyze and represent the flow of people through a multi-level interactive and tangible agent-based visualization. The presented framework, developed to understand Andorra visitor behavior, is embedded in the MIT CityScope framework used for civic engagement, urban development, and decision making.

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AAMAS Conference 2018 Conference Paper

Real-time Machine Learning Prediction of an Agent-Based Model for Urban Decision-making

Yan Zhang
Arnaud Grignard
Kevin Lyons
Alexander Aubuchon
Kent Larson

CityMatrix is an urban decision support system that has been developed to facilitate more collaborative and evidence-based urban decision-making for experts and non-experts. Machine learning techniques have been applied to achieve real-time prediction of an agent-based model (ABM) of city traffic. The prediction with a shallow convolutional neural network (CNN) is significantly faster than performing the original ABM, and has enough accuracy for decision-making. The result is a versatile, quick, accurate, and computationally efficient approach to provide real-time feedback and optimization for urban decision-making.

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AAMAS Conference 2013 Conference Paper

GAMA: Multi-Level and Complex Environment for Agent-Based Models and Simulations

Alexis Drogoul
Edouard Amouroux
Philippe Caillou
Benoit Gaudou
Arnaud Grignard
Nicolas Marilleau
Patrick Taillandier
Maroussia Vavasseur

Agent-based models are now used in numerous application domains (ecology, social sciences, etc.) but their use is still impeded by the lack of generic yet ready-to-use tools supporting the design and the simulation of complex models integrating multiple level of agency and realistic environments. The GAMA modeling and simulation platform is proposed to address such issues. It allows modelers to build complex models thanks to high-level modeling language, various agent architectures and advanced environment representations and built-in multi-level support.

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