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Alcherio Martinoli

Cette personne a quitté l’EPFL

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Publications associées (203)

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A modular functional framework for the design and evaluation of multi-robot navigation

Alcherio Martinoli, Cyrill Silvan Baumann

In this work, we address the design of tightly integrated control, estimation, and allocation algorithms allowing a group of robots to move collectively. For doing so, we leverage a modular framework that allows us to define precisely the needed functional ...

Elsevier2021

Bayesian Rendezvous for Distributed Robotic Systems

Alcherio Martinoli, Sven Adrian Gowal

In this paper, we state, using thorough mathe- matical analysis, sufficient conditions to perform a rendezvous maneuver with a group of differential-wheeled robots endowed with an on-board, noisy, local positioning system. In particular, we extend the exis ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Top-Down vs Bottom-Up Model-Based Methodologies for Distributed Control: A Comparative Experimental Study

Alcherio Martinoli, Grégory Mermoud, William Christopher Evans, Utkarsh Upadhyay

Model-based synthesis of distributed controllers for multi-robot systems is commonly approached in either a top-down or bottom-up fashion. In this paper, we investigate the experimental challenges of both approaches, with a special emphasis on resource-con ...

Springer-Verlag2014

Exploration of an Incremental Suite of Microscopic Models for Acoustic Event Monitoring Using a Robotic Sensor Network

Alcherio Martinoli

Simulation is frequently used in the study of multi-agent systems. Unfortunately, in many cases, it is not necessarily clear how faithfully the details of the simulated model represent the behavior of the physical system. Often, the effects of the environm ...

IEEE2008

Design and Evaluation of Modular Gas and Wind Sensing Nodes for Static and Mobile Deployments

Alcherio Martinoli, Emmanuel Droz, Wanting Jin

Static and mobile sensor nodes can be employed in gas monitoring tasks to detect gas leaks in an early stage and localize gas sources. Due to the intermittent nature of gas plumes and the slow dynamics of commonly used gas sensors, measuring gas concentrat ...

2024

Comparing and modeling distributed control strategies for miniature self-assembling robots

Alcherio Martinoli, Grégory Mermoud, William Christopher Evans

We propose two contrasting approaches to the scalable distributed control of a swarm of self-assembling miniaturized robots, specifically the formation of chains of a desired length: (1) a deterministic controller in which robots communicate with each othe ...

IEEE2010

Distributed Adaptation in Multi-Robot Search using Particle Swarm Optimization

Alcherio Martinoli

We present an adaptive strategy for a group of robots engaged in the localization of multiple targets. The robotic search algorithm is inspired by chemotaxis behavior in bacteria, and the algorithmic parameters are updated using a distributed implementatio ...

2008

An Experimental Study in Wireless Connectivity Maintenance Using up to 40 Robots Coordinated by an Institutional Robotics Approach

Alcherio Martinoli, José Nuno Ferreira Maia Pereira

This work is developed in the framework of Institutional Robotics (IR), an approach to cooperative distributed robotic systems that draws inspiration from the social sciences. We consider a case study concerned with a swarm of simple robots which has to ma ...

2013

The Effect of the Environment in the Synthesis of Robotic Controllers: A Case Study in Multi-Robot Obstacle Avoidance using Distributed Particle Swarm Optimization

Alcherio Martinoli, Inaki Navarro Oiza, Ezequiel Leonardo Di Mario

The ability to move in complex environments is a fundamental requirement for robots to be a part of our daily lives. While in simple environments it is usually straightforward for human designers to foresee the different conditions a robot will be exposed ...

MIT Press2013

Adaptive Risk-Based Replanning For Human-Aware Multi-Robot Task Allocation With Local Perception

Alcherio Martinoli, Zeynab Talebpour

In this letter, we propose an adaptive risk-based replanning strategy in the context of multirobot task allocation for dealing with limitations of local perception and unpredicted human behavior. Our replanning method is based on the variations of social r ...

2019

Mitigating Slow Dynamics of Low-Cost Chemical Sensors for Mobile Air Quality Monitoring Sensor Networks

Alcherio Martinoli, Ali Marjovi, Adrian Arfire

The last decade has seen a growing interest in air quality monitoring using networks of wireless low-cost sensor platforms. One of the unifying characteristics of chemical sensors typically used in real-world deployments is their slow response time. While ...

2016

System Identification of Self-Organizing Robotic Swarms

Alcherio Martinoli, Nicolaus Correll

We show system identification of self-organizing, swarm robotic systems using a ``gray-box'' approach, based on probabilistic macroscopic models. At hand of a well studied case study concerned with the autonomous inspection of a regular structure by a swar ...

Springer Verlag2006

Online Kinematic and Dynamic Parameter Estimation for Autonomous Surface and Underwater Vehicles

Alcherio Martinoli, Anwar Ahmad Quraishi

One of the main challenges in underwater robot localization is the scarcity of external positioning references. Therefore, accurate inertial localization in between external position updates is crucial for applications such as underwater environmental samp ...

2021

A Realistic Simulator for the Design and Evaluation of Intelligent Vehicles

Alcherio Martinoli, Sven Adrian Gowal

The number of vehicles hitting the road each day is rapidly increasing, and several problems, such as traffic conges- tion or driver safety, can no longer be solved in the same fashion as before. Intelligent transportation systems could potentially solve p ...

2010

3D Gas Sensing with Multiple Nano Aerial Vehicles: Interference Analysis, Algorithms and Experimental Validation

Alcherio Martinoli, Chiara Ercolani, Wanting Jin

Within the scope of the ongoing efforts to fight climate change, the application of multirobot systems to environmental mapping and monitoring missions is a prominent approach aimed at increasing exploration efficiency. However, the application of such sys ...

2023

A Fast On-Board Relative Positioning Module for Multi-Robot Systems

Alcherio Martinoli

We present an on-board robotic module which can determine relative positions among miniature robots. The module uses high-frequency modulated infrared emissions to enable nearby robots to determine the range, bearing, and message of the sender with a rapid ...

2009

Autonomous Feature Tracing and Adaptive Sampling in Real-World Underwater Environments

Alcherio Martinoli, Alexander Bahr, Felix Stephan Schill, Anwar Ahmad Quraishi

Applications of robots for gathering data in underwater environments has been limited due to the challenges posed by the medium. We have developed a miniature, agile, easy to carry and deploy Autonomous Underwater Vehicle (AUV) equipped with a suite of sen ...

IEEE2018

Small-Scale Robot Formation Movement Using a Simple On-Board Relative Positioning System

Alcherio Martinoli

We explore the problem of smallscale multirobot formation control using only an unsophisticated onboard relative positioning module. The robotic setup and module are implemented and tested in a realistic virtual simulator, using standard formation types an ...

2006

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

Dario Floreano, Alcherio Martinoli, Francesco Mondada, Jean-Christophe Zufferey, Michael Bonani, Stéphane Magnenat, Adam Klaptocz

Mobile robots have the potential to become the ideal tool to teach a broad range of engineering disciplines. Indeed, mobile robots are getting increasingly complex and accessible. They embed elements from diverse ﬁelds such as mechanics, digital electronic ...

IPCB: Instituto Politécnico de Castelo Branco2009

Analysis of Fitness Noise in Particle Swarm Optimization: From Robotic Learning to Benchmark Functions

Alcherio Martinoli, Inaki Navarro Oiza, Ezequiel Leonardo Di Mario

Population-based learning techniques have been proven to be effective in dealing with noise and are thus promising tools for the optimization of robotic controllers, which have inherently noisy performance evaluations. This article discusses how the result ...

2014