Evolving Modular Robots: Challenges and Opportunities

Andres Faina

doi:10.1162/isal_a_00437

Evolving Modular Robots: Challenges and Opportunities

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Abstract

The body of robots and their controllers need to be adapted to the task that they carry out. While it is possible to design and optimize free-form morphologies, its physical implementation consumes too many resources. In contrast, modular robots provide a feasible approach to design robotic morphologies that can be deployed in minutes, making them a suitable tool to implement virtual creatures. In this article, we tackle the main challenges to consider when evolving modular robots and mention some opportunities that these systems can provide.

Original language	English
Title of host publication	Proceedings of the ALIFE 2021: The 2021 Conference on Artificial Life
Number of pages	4
Publisher	MIT Press
Publication date	2021
DOIs	https://doi.org/10.1162/isal_a_00437
Publication status	Published - 2021
Event	ALIFE 2021: The 2021 Conference on Artificial Life - Duration: 19 Jul 2021 → 23 Jul 2021

Conference

Conference	ALIFE 2021: The 2021 Conference on Artificial Life
Period	19/07/2021 → 23/07/2021

Keywords

Robotic Morphologies
Modular Robots
Task-specific Adaptation
Evolutionary Robotics
Virtual Creatures

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10.1162/isal_a_00437

2021Alife_evolving_modular_robots_keynote_postprintAccepted author manuscript, 689 KB

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title = "Evolving Modular Robots: Challenges and Opportunities",

abstract = "The body of robots and their controllers need to be adapted to the task that they carry out. While it is possible to design and optimize free-form morphologies, its physical implementation consumes too many resources. In contrast, modular robots provide a feasible approach to design robotic morphologies that can be deployed in minutes, making them a suitable tool to implement virtual creatures. In this article, we tackle the main challenges to consider when evolving modular robots and mention some opportunities that these systems can provide. ",

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AB - The body of robots and their controllers need to be adapted to the task that they carry out. While it is possible to design and optimize free-form morphologies, its physical implementation consumes too many resources. In contrast, modular robots provide a feasible approach to design robotic morphologies that can be deployed in minutes, making them a suitable tool to implement virtual creatures. In this article, we tackle the main challenges to consider when evolving modular robots and mention some opportunities that these systems can provide.

KW - Robotic Morphologies

KW - Modular Robots

KW - Task-specific Adaptation

KW - Evolutionary Robotics

KW - Virtual Creatures

KW - Robotic Morphologies

KW - Modular Robots

KW - Task-specific Adaptation

KW - Evolutionary Robotics

KW - Virtual Creatures

U2 - 10.1162/isal_a_00437

DO - 10.1162/isal_a_00437

M3 - Article in proceedings

BT - Proceedings of the ALIFE 2021: The 2021 Conference on Artificial Life

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T2 - ALIFE 2021: The 2021 Conference on Artificial Life

Y2 - 19 July 2021 through 23 July 2021

ER -

Evolving Modular Robots: Challenges and Opportunities

Abstract

Conference

Keywords

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