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Optimal Swarm Formation for Odor Plume Finding

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Coordination Through Institutional Roles in Robot Collectives (Extended Abstract)

José Nuno Ferreira Maia Pereira

In this paper, we demonstrate the benefit of role allocation in a collective of autonomous robots performing a simple transport task. We demonstrate that, under certain conditions, the performance of the collective can be improved when a subset of the robo ...

2010

Distributed Scalable Multi-Robot Learning using Particle Swarm Optimization

Alcherio Martinoli, James Pugh

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using online learning techniques which allow robots to generate their own controllers online in an automated fash- ion. In multi- ...

2009

Towards Group Transport by Swarms of Robots

Roderich Gross

We examine the ability of a swarm robotic system to transport cooperatively objects of different shapes and sizes. We simulate a group of autonomous mobile robots that can physically connect to each other and to the transported object. Controllers — artifi ...

2009

Stochastic Strategies for a Swarm Robotic Assembly System

We present a decentralized, scalable approach to assembling a group of heterogeneous parts into different products using a swarm of robots. While the assembly plans are predetermined, the exact sequence of assembly of parts and the allocation of subassembl ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Specialization as an Optimal Strategy Under Varying External Conditions

Alcherio Martinoli

We present an investigation of specialization when considering the execution of collaborative tasks by a robot swarm. Specifically, we consider the stick-pulling problem first proposed by Martinoli et al. [1], [2] and develop a macroscopic analytical model ...

2009

An Exploration of Online Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli, James Pugh

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques which allow robots to evolve their own controllers online in an automated fashion. In mult ...

Springer2008

Odor Source Localization with Mobile Robots

Alcherio Martinoli, Thomas Lochmatter, Xavier Raemy

Because of their excellent olfactory sense, dogs are often used to find bombs, mines, drugs, or people buried by avalanches. For such applications, autonomous mobile robots could be used in the future. Electronic sensors already exist for a wide variety of ...

2007

Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli, James Pugh

2007

Applying Aspects of Multi-Robot Search to Particle Swarm Optimization

Alcherio Martinoli, James Pugh, Loïc Segapelli

We present a modified version of the Particle swarm Optimization algorithm in which we adjust the virtual swarm search by incorporating inter-agent dynamics native to multi-robot search scenarios. The neighborhood structure of PSO is modified to accurately ...

2006

Collective Inspection of Regular Structures using a Swarm of Miniature Robots

Alcherio Martinoli, Nicolaus Correll

We present a series of experiments concerned with the inspection of regular, engineered structures carried out using swarms of five to twenty autonomous, miniature robots, solely endowed with onboard, local sensors. Individual robot controllers are behavio ...

2006