Robotic locomotion through active and passive morphological adaptation in extreme outdoor environments

机器人 控制重构 地形 适应性 计算机科学 适应(眼睛) 人机交互 稳健性(进化) 机器人运动 人工智能 移动机器人 分布式计算 机器人控制 生态学 嵌入式系统 生物 神经科学 生物化学 基因
作者
Max Polzin,Qinghua Guan,Josie Hughes
出处
期刊:Science robotics [American Association for the Advancement of Science]
卷期号:10 (99): eadp6419-eadp6419 被引量:31
标识
DOI:10.1126/scirobotics.adp6419
摘要

Robotic locomotion has shown substantial advancements, yet robots still lack the versatility and agility shown by animals navigating complex terrains. This limits their applicability in complex environments where they could be highly beneficial. Unlike existing robots that rely on intricate perception systems to construct models of both themselves and their surroundings, a more bioinspired approach leverages reconfiguration to adapt a robot's morphology to its environment. Although interest in such multimodal, terrain-adaptive robots is increasing, their capacity for morphological reconfiguration often remains confined to specific body parts or comes at the expense of increased system complexity and reduced locomotion efficiency. Our study seeks to enhance robotic locomotion by developing robots that can actively reconfigure their morphology, altering their physical properties and leveraging their adaptability to navigate efficiently in diverse environments. We demonstrate how combining a compliant structure with morphological reconfiguration allowed a robot to transition between flat and spherical forms, enabling autonomous, multimodal locomotion-driving, rolling, and swimming-across complex terrains with minimal sensing. By actively reconfiguring its morphology to adapt physical properties for compliant interactions, the robot enhanced locomotion across rough, diverse environments. Leveraging its adaptability in different locomotion modes to navigate a 4.5-kilometer path across mountainous, aquatic, and urban terrains, the robot outperformed traditional and multimodal robots in terms of versatility, energy efficiency, and robustness. Developing versatile, energy-efficient, compliant robots capable of reconfiguring their morphology could substantially enhance autonomous navigation, opening up broader applications in unstructured environments, from environmental monitoring to disaster response and extraterrestrial exploration.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
所所应助科研通管家采纳,获得10
刚刚
Orange应助科研通管家采纳,获得10
刚刚
bkagyin应助科研通管家采纳,获得10
刚刚
刚刚
cdercder应助科研通管家采纳,获得10
刚刚
刚刚
刚刚
刚刚
Orange应助科研通管家采纳,获得10
刚刚
刚刚
情怀应助科研通管家采纳,获得10
刚刚
cdercder应助科研通管家采纳,获得10
刚刚
Akim应助科研通管家采纳,获得10
刚刚
Jasper应助科研通管家采纳,获得10
1秒前
打打应助科研通管家采纳,获得10
1秒前
汉堡包应助科研通管家采纳,获得10
1秒前
Hello应助科研通管家采纳,获得10
1秒前
uni发布了新的文献求助20
1秒前
1秒前
1秒前
爆米花应助科研通管家采纳,获得10
1秒前
2秒前
李健应助木木木采纳,获得10
3秒前
sunshine完成签到,获得积分10
3秒前
彭于晏应助元儿圆采纳,获得10
3秒前
shen发布了新的文献求助10
3秒前
3秒前
suzume完成签到,获得积分10
4秒前
5秒前
5秒前
大只00发布了新的文献求助10
6秒前
cranberry完成签到,获得积分10
6秒前
6秒前
桐桐应助mirutio采纳,获得10
7秒前
我就是KKKK发布了新的文献求助10
8秒前
杨大帅发布了新的文献求助10
8秒前
BLKAKA发布了新的文献求助10
9秒前
dididi完成签到,获得积分10
10秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Stratospheric Ozone: A Textbook 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7359884
求助须知:如何正确求助?哪些是违规求助? 8969807
关于积分的说明 19064673
捐赠科研通 7006659
什么是DOI,文献DOI怎么找? 3223049
关于科研通互助平台的介绍 2386852
邀请新用户注册赠送积分活动 2203872