BirdBot achieves energy-efficient gait with minimal control using avian-inspired leg clutching

步态 物理医学与康复 计算机科学 航空学 工程类 心理学 控制(管理) 人工智能 医学
作者
Alexander Badri–Spröwitz,Alborz Aghamaleki Sarvestani,Metin Sitti,Monica A. Daley
出处
期刊:Science robotics [American Association for the Advancement of Science]
卷期号:7 (64): eabg4055-eabg4055 被引量:105
标识
DOI:10.1126/scirobotics.abg4055
摘要

Designers of legged robots are challenged with creating mechanisms that allow energy-efficient locomotion with robust and minimalistic control. Sources of high energy costs in legged robots include the rapid loading and high forces required to support the robot's mass during stance and the rapid cycling of the leg's state between stance and swing phases. Here, we demonstrate an avian-inspired robot leg design, BirdBot, that challenges the reliance on rapid feedback control for joint coordination and replaces active control with intrinsic, mechanical coupling, reminiscent of a self-engaging and disengaging clutch. A spring tendon network rapidly switches the leg's slack segments into a loadable state at touchdown, distributes load among joints, enables rapid disengagement at toe-off through elastically stored energy, and coordinates swing leg flexion. A bistable joint mediates the spring tendon network's disengagement at the end of stance, powered by stance phase leg angle progression. We show reduced knee-flexing torque to a 10th of what is required for a nonclutching, parallel-elastic leg design with the same kinematics, whereas spring-based compliance extends the leg in stance phase. These mechanisms enable bipedal locomotion with four robot actuators under feedforward control, with high energy efficiency. The robot offers a physical model demonstration of an avian-inspired, multiarticular elastic coupling mechanism that can achieve self-stable, robust, and economic legged locomotion with simple control and no sensory feedback. The proposed design is scalable, allowing the design of large legged robots. BirdBot demonstrates a mechanism for self-engaging and disengaging parallel elastic legs that are contact-triggered by the foot's own lever-arm action.
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
LALA发布了新的文献求助10
刚刚
现代秋白完成签到,获得积分10
刚刚
淡然绝山完成签到,获得积分10
刚刚
李健应助武琳捷采纳,获得20
刚刚
橘子发布了新的文献求助10
刚刚
刚刚
佟韩发布了新的文献求助10
1秒前
1秒前
2秒前
3秒前
852应助liuqingyun采纳,获得10
4秒前
情怀应助天热采纳,获得10
4秒前
4秒前
太一完成签到 ,获得积分10
4秒前
6秒前
7秒前
开搞发布了新的文献求助10
7秒前
7秒前
8秒前
Dyying完成签到,获得积分10
8秒前
灵感萝卜完成签到,获得积分10
8秒前
9秒前
余悸发布了新的文献求助10
9秒前
我是小汪发布了新的文献求助10
10秒前
10秒前
10秒前
11秒前
星辰大海应助changl2023采纳,获得10
11秒前
wanci应助乐观无心采纳,获得10
11秒前
拉克逗子应助孤星采纳,获得10
11秒前
12秒前
顾矜应助LALA采纳,获得10
12秒前
12秒前
vampv应助健忘飞风采纳,获得10
12秒前
12秒前
香蕉觅云应助儒雅小蜜蜂采纳,获得10
13秒前
1256发布了新的文献求助10
13秒前
烟雨平生完成签到,获得积分10
14秒前
谦让小馒头完成签到,获得积分10
14秒前
15秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 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 7600657
求助须知:如何正确求助?哪些是违规求助? 9177050
关于积分的说明 19650148
捐赠科研通 7176624
什么是DOI,文献DOI怎么找? 3268737
关于科研通互助平台的介绍 2433074
邀请新用户注册赠送积分活动 2262318