• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过结合SLIP模型与空中轨迹规划来控制单腿机器人跨越障碍物。

Controlling a One-Legged Robot to Clear Obstacles by Combining the SLIP Model with Air Trajectory Planning.

作者信息

Huang Senwei, Zhang Xiuli

机构信息

School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.

出版信息

Biomimetics (Basel). 2023 Feb 5;8(1):66. doi: 10.3390/biomimetics8010066.

DOI:10.3390/biomimetics8010066
PMID:36810397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9944870/
Abstract

Legged animals can adapt to complex terrains because they can step or jump over obstacles. Their application of foot force is determined according to the estimation of the height of an obstacle; then, the trajectory of the legs is controlled to clear the obstacle. In this paper, we designed a three-DoF one-legged robot. A spring-loaded inverted pendulum model was employed to control the jumping. Herein, the jumping height was mapped to the foot force by mimicking the jumping control mechanisms of animals. The foot trajectory in the air was planned using the Bézier curve. Finally, the experiments of the one-legged robot jumping over multiple obstacles of different heights were implemented in the PyBullet simulation environment. The simulation results demonstrate the effectiveness of the method proposed in this paper.

摘要

有腿动物能够适应复杂地形,因为它们可以跨过或跳过障碍物。它们对足部力量的应用是根据对障碍物高度的估计来确定的;然后,控制腿部的轨迹以越过障碍物。在本文中,我们设计了一个三自由度单腿机器人。采用弹簧加载倒立摆模型来控制跳跃。在此,通过模仿动物的跳跃控制机制,将跳跃高度映射到足部力量。利用贝塞尔曲线规划空中的足部轨迹。最后,在PyBullet仿真环境中进行了单腿机器人跨越不同高度多个障碍物的实验。仿真结果证明了本文所提方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/f09e479d8bb8/biomimetics-08-00066-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/da8766d53e5f/biomimetics-08-00066-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/47950d5a1d53/biomimetics-08-00066-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/04edc9be5f1c/biomimetics-08-00066-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/e2eb58e9d99b/biomimetics-08-00066-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/71d993b1abd5/biomimetics-08-00066-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/89f4e24b073f/biomimetics-08-00066-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/26a32a50ddd4/biomimetics-08-00066-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/f09e479d8bb8/biomimetics-08-00066-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/da8766d53e5f/biomimetics-08-00066-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/47950d5a1d53/biomimetics-08-00066-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/04edc9be5f1c/biomimetics-08-00066-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/e2eb58e9d99b/biomimetics-08-00066-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/71d993b1abd5/biomimetics-08-00066-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/89f4e24b073f/biomimetics-08-00066-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/26a32a50ddd4/biomimetics-08-00066-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d706/9944870/f09e479d8bb8/biomimetics-08-00066-g008.jpg

相似文献

1
Controlling a One-Legged Robot to Clear Obstacles by Combining the SLIP Model with Air Trajectory Planning.通过结合SLIP模型与空中轨迹规划来控制单腿机器人跨越障碍物。
Biomimetics (Basel). 2023 Feb 5;8(1):66. doi: 10.3390/biomimetics8010066.
2
Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment.复杂地形环境下跳跃轮腿机器人的设计与动力学分析
Front Neurorobot. 2022 Dec 2;16:1066714. doi: 10.3389/fnbot.2022.1066714. eCollection 2022.
3
Stable and Fast Planar Jumping Control Design for a Compliant One-Legged Robot.用于柔顺单腿机器人的稳定快速平面跳跃控制设计
Micromachines (Basel). 2022 Aug 5;13(8):1261. doi: 10.3390/mi13081261.
4
Real-time Trajectory Planning and Tracking Control of Bionic Underwater Robot in Dynamic Environment.动态环境下仿生水下机器人的实时轨迹规划与跟踪控制
Cyborg Bionic Syst. 2024 May 9;5:0112. doi: 10.34133/cbsystems.0112. eCollection 2024.
5
Research on the Jumping Control Methods of a Quadruped Robot that Imitates Animals.仿动物四足机器人跳跃控制方法研究
Biomimetics (Basel). 2023 Jan 15;8(1):36. doi: 10.3390/biomimetics8010036.
6
Design and sequential jumping experimental validation of a musculoskeletal bipedal robot based on the spring-loaded inverted pendulum model.基于弹簧加载倒立摆模型的肌肉骨骼双足机器人的设计与顺序跳跃实验验证
Front Robot AI. 2024 Jan 31;11:1296706. doi: 10.3389/frobt.2024.1296706. eCollection 2024.
7
The generalized spring-loaded inverted pendulum model for analysis of various planar reduced-order models and for optimal robot leg design.用于分析各种平面降阶模型和优化机器人腿设计的广义弹簧加载倒立摆模型。
Bioinspir Biomim. 2024 Feb 28;19(2). doi: 10.1088/1748-3190/ad2869.
8
Running Gait and Control of Quadruped Robot Based on SLIP Model.基于SLIP模型的四足机器人奔跑步态与控制
Biomimetics (Basel). 2024 Jan 3;9(1):0. doi: 10.3390/biomimetics9010024.
9
Control strategy of stable walking for a hexapod wheel-legged robot.六足轮腿机器人稳定行走的控制策略
ISA Trans. 2021 Feb;108:367-380. doi: 10.1016/j.isatra.2020.08.033. Epub 2020 Sep 14.
10
A Novel Wheel-Legged Hexapod Robot.一种新型轮腿式六足机器人。
Biomimetics (Basel). 2022 Sep 29;7(4):146. doi: 10.3390/biomimetics7040146.

引用本文的文献

1
Bridging the Gap to Bionic Motion: Challenges in Legged Robot Limb Unit Design, Modeling, and Control.弥合与仿生运动的差距:有腿机器人肢体单元设计、建模与控制中的挑战
Cyborg Bionic Syst. 2025 Aug 19;6:0365. doi: 10.34133/cbsystems.0365. eCollection 2025.

本文引用的文献

1
Learning robust perceptive locomotion for quadrupedal robots in the wild.在野外环境中学习四足机器人的鲁棒感知运动。
Sci Robot. 2022 Jan 19;7(62):eabk2822. doi: 10.1126/scirobotics.abk2822.
2
Combining Reflexes and External Sensory Information in a Neuromusculoskeletal Model to Control a Quadruped Robot.在神经肌肉骨骼模型中结合反射与外部感官信息以控制四足机器人
IEEE Trans Cybern. 2022 Aug;52(8):7981-7994. doi: 10.1109/TCYB.2021.3052253. Epub 2022 Jul 19.
3
Multi-expert learning of adaptive legged locomotion.多专家学习自适应腿部运动。
Sci Robot. 2020 Dec 9;5(49). doi: 10.1126/scirobotics.abb2174.
4
Effect of Substrates' Compliance on the Jumping Mechanism of .底物顺应性对……跳跃机制的影响
Front Bioeng Biotechnol. 2020 Jul 6;8:661. doi: 10.3389/fbioe.2020.00661. eCollection 2020.
5
High speed galloping in the cheetah (Acinonyx jubatus) and the racing greyhound (Canis familiaris): spatio-temporal and kinetic characteristics.猎豹(Acinonyx jubatus)和赛狗(Canis familiaris)的高速疾驰:时空和运动学特征。
J Exp Biol. 2012 Jul 15;215(Pt 14):2425-34. doi: 10.1242/jeb.066720.
6
Leg stiffness increases with speed to modulate gait frequency and propulsion energy.腿部僵硬随速度增加而增加,以调节步态频率和推进能量。
J Biomech. 2011 Apr 29;44(7):1253-8. doi: 10.1016/j.jbiomech.2011.02.072. Epub 2011 Mar 11.
7
Kinetics of jump landing in agility dogs.敏捷犬跳跃着陆的动力学研究。
Vet J. 2011 Nov;190(2):278-283. doi: 10.1016/j.tvjl.2010.10.008. Epub 2010 Nov 18.
8
Jumping performance of froghopper insects.沫蝉的跳跃性能。
J Exp Biol. 2006 Dec;209(Pt 23):4607-21. doi: 10.1242/jeb.02539.
9
Running in the real world: adjusting leg stiffness for different surfaces.在现实世界中跑步:针对不同路面调整腿部刚度。
Proc Biol Sci. 1998 Jun 7;265(1400):989-94. doi: 10.1098/rspb.1998.0388.
10
Leg stiffness and stride frequency in human running.人类跑步中的腿部僵硬程度和步频。
J Biomech. 1996 Feb;29(2):181-6. doi: 10.1016/0021-9290(95)00029-1.