Using Communication for the Evolution of Scalable Role Allocation in Collective Robotics

Martins, Gustavo Celestino; Urbano, Paulo; Christensen, Anders Lyhne

doi:10.1007/978-3-030-03928-8_27

Cited by 2 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In ER, communication systems allow robots to exchange information and the emergency of coordination in groups (Trianni et al, 2004;Martins et al, 2018). For this, communication is based on actuators such as wireless and radio frequency signals, sound, lights, and movements (Hasselmann et al 2018;Rasheed & Amin, 2016).…”

Section: Related Workmentioning

confidence: 99%

improvement of signal communication for a foraging task using evolutionary robotics

Aldana-Franco,

Montes-González,

Nolfi

2024

JART

View full text Add to dashboard Cite

Communication systems represent an evolutionary advantage for a group of robots solving coordinated tasks. In the field of evolutionary robotics, the emergence and establishment of communication are regulated by different variables. These systems are a tool produced by artificial evolution for the exchange of personal and environmental information. Since evolutionary processes involve multi-objective evolutionary methods, it is important to study all the mechanisms that affect the emergence and establishment of communication systems. One of these variables is the evolutionary advantage of emerging signals. In this article it is assumed that the signals appear because they are evolutionarily useful in solving a task. Emitter and receiver generate a process of conceptualization, which makes the signals associated with a meaning for the community. In this way an experiment is adapted to the FARSA simulator and the MARXBOT robot. This experiment consists of a group of robots that spend as much time as possible in a food zone and avoid a poisoned zone. Under normal conditions, robots tend to point to the food zone to attract the rest of the population. When the evolutionary importance of pointing out the food zone is reduced, the signals arise in different situations such as the presence of nearby objects and the poisoned zone. Communication is configured with the LED rings and linear cameras of the robots. In addition, an ethological method is adapted to quantify the behavioral effects of experimental manipulation.

show abstract

Section: Related Workmentioning

confidence: 99%

improvement of signal communication for a foraging task using evolutionary robotics

Aldana-Franco,

Montes-González,

Nolfi

2024

JART

View full text Add to dashboard Cite

show abstract

“…To assess the relevance of communication for the task, we conduct experiments with no communication ability. We follow our previous work [11] and introduce a more challenging, three-role task, where two lights exist and which requires more than one communication channel. The goal is to have exactly one robot at each light while all other robots avoid approaching the lights.…”

Section: Introductionmentioning

confidence: 99%

Augmenting Scalable Communication-Based Role Allocation for a Three-Role Task

Martins

Urbano

Christensen³

2020

Self Cite

View full text Add to dashboard Cite

In evolutionary robotics role allocation studies, it is common that the role assumed by each robot is strongly associated with specific local conditions, which may compromise scalability and robustness because of the dependency on those conditions. To increase scalability, communication has been proposed as a means for robots to exchange signals that represent roles. This idea was successfully applied to evolve communication-based role allocation for a two-role task. However, it was necessary to reward signal differentiation in the fitness function, which is a serious limitation as it does not generalize to tasks where the number of roles is unknown a priori. In this paper, we show that rewarding signal differentiation is not necessary to evolve communication-based role allocation strategies for the given task, and we improve reported scalability, while requiring less a priori knowledge. Our approach for the two-role task puts fewer constrains on the evolutionary process and enhances the potential of evolving communication-based role allocation for more complex tasks. Furthermore, we conduct experiments for a three-role task where we compare two different cognitive architectures and several fitness functions and we show how scalable controllers might be evolved.

show abstract

Using Communication for the Evolution of Scalable Role Allocation in Collective Robotics

Cited by 2 publications

References 16 publications

improvement of signal communication for a foraging task using evolutionary robotics

improvement of signal communication for a foraging task using evolutionary robotics

Augmenting Scalable Communication-Based Role Allocation for a Three-Role Task

Contact Info

Product

Resources

About