Evolving Virtual Creatures and Catapults

Author:

Chaumont Nicolas12,Egli Richard1,Adami Christoph3

Affiliation:

1. Département d'informatique, Université de Sherbrooke, Sherbrooke, Québec, Canada J1K 2R1

2. Keck Graduate Institute of Applied Life Sciences, Claremont, CA, 91711

3. Keck Graduate Institute of Applied Life Sciences, Claremont, CA 91711

Abstract

We present a system that can evolve the morphology and the controller of virtual walking and block-throwing creatures (catapults) using a genetic algorithm. The system is based on Sims' work, implemented as a flexible platform with an off-the-shelf dynamics engine. Experiments aimed at evolving Sims-type walkers resulted in the emergence of various realistic gaits while using fairly simple objective functions. Due to the flexibility of the system, drastically different morphologies and functions evolved with only minor modifications to the system and objective function. For example, various throwing techniques evolved when selecting for catapults that propel a block as far as possible. Among the strategies and morphologies evolved, we find the drop-kick strategy, as well as the systematic invention of the principle behind the wheel, when allowing mutations to the projectile.

Publisher

MIT Press - Journals

Subject

Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Simulating Natural Selection with Deep Learning and Genetic Algorithm;Proceedings of the 5th International Conference on Information Management & Machine Intelligence;2023-11-23

2. EMERGE Modular Robot: A Tool for Fast Deployment of Evolved Robots;Frontiers in Robotics and AI;2021-07-05

3. Virtual Creature Morphology ‐ A Review;Computer Graphics Forum;2021-05

4. A 3D simulation framework based on body-controller coevolution of virtual creatures for investigating the origin of acoustic interactions;Artificial Life and Robotics;2020-05-14

5. A survey on evolutionary-aided design in robotics;Robotica;2018-08-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3