Global-Position Tracking Control for Highly Versatile Bipedal Robotic Walking

用于高度多功能双足机器人行走的全球位置跟踪控制

基本信息

  • 批准号:
    2421768
  • 负责人:
  • 金额:
    $ 38.38万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-10-01 至 2025-09-30
  • 项目状态:
    未结题

项目摘要

This project will contribute to the advancement of the national health, security and welfare, by improving capabilities, safety and reliability of bipedal walking robots. Bipedal robots are emerging as a critical technology for a broad range of important applications, such as search and rescue, emergency response, home assistance and health care. This project will address important technological challenges of controlling and tracking robot movements in various surroundings. The resulting highly versatile walking robot will be able to avoid obstacles, such as avoid pedestrians in human-populated environments and falling debris on disaster sites. This project will integrate the research with education and outreach activities for engaging students from diverse groups to participate in robotics and control research.The goal of this project is to advance the knowledge in the control of hybrid systems for achieving highly versatile bipedal robotic walking through reliable global-position tracking control. The research draws upon feedback control theory and hybrid systems to create a systematic method of tracking controller design for general hybrid systems with state-triggered jumps that include bipedal walking robots. To reach the research goal, the following objectives will be pursued: (1) to formulate a new method of reference trajectory modification for solving the intermittent tracking-error divergence issue underlying the trajectory tracking problem of hybrid systems with state-triggered jumps; (2) to extend Lyapunov theory to general hybrid systems with state-trigged jumps for creating a large class of controllers that can provably solve the tracking problem; and (3) to synthesize a control framework that exploits the researched controller design to achieve high versatility simultaneously with provable stability, agility, and energy efficiency for bipedal robotic walking. This project will lay a foundation for the creation of next-generation legged robot systems capable of safe and reliable real-world operations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目将通过提高两足行走机器人的能力、安全性和可靠性,为提高国家健康、安全、福利做出贡献。双足机器人正在成为一项关键技术,用于广泛的重要应用,如搜索和救援,应急响应,家庭援助和医疗保健。该项目将解决在各种环境中控制和跟踪机器人运动的重要技术挑战。由此产生的多功能步行机器人将能够避开障碍物,例如在人口稠密的环境中避开行人,以及在灾难现场避开掉落的碎片。该项目将把研究与教育和推广活动结合起来,吸引来自不同群体的学生参与机器人和控制研究。该项目的目标是通过可靠的全局位置跟踪控制来提高混合系统的控制知识,以实现高度通用的两足机器人行走。该研究利用反馈控制理论和混合系统,为包括双足步行机器人在内的具有状态触发跳跃的通用混合系统创建了一种系统的跟踪控制器设计方法。为实现研究目标,将开展以下工作:(1)针对具有状态触发跳跃的混合系统的轨迹跟踪问题,提出一种新的参考轨迹修正方法,解决其中的间歇跟踪误差发散问题;(2)将李雅普诺夫理论扩展到具有状态触发跳跃的一般混合系统,以创建一类可证明能解决跟踪问题的控制器;(3)综合控制框架,利用所研究的控制器设计实现高通用性,同时具有可验证的稳定性、敏捷性和能效。该项目将为创造能够安全可靠地在现实世界中操作的下一代有腿机器人系统奠定基础。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Yan Gu其他文献

Castelnuovo-Mumford regularity of fiber cones of filtered modules
过滤模块纤维锥的 Castelnuovo-Mumford 规律
  • DOI:
    10.18514/mmn.2015.1340
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0.9
  • 作者:
    Yan Gu;Guangjun Zhu;Xiaoqi Wei
  • 通讯作者:
    Xiaoqi Wei
GRK2 desensitizes flow-induced responses in osteoblasts
GRK2 使成骨细胞中血流诱导的反应变得不敏感
  • DOI:
    10.4238/gmr16019363
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yanghui Xing (邢阳辉);Yan Gu;Xingyin Shan;Liting Wang;Jun You
  • 通讯作者:
    Jun You
Does societal trust make firms more trustworthy?
社会信任会让企业更值得信赖吗?
  • DOI:
    10.1016/j.ememar.2019.100674
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    4.8
  • 作者:
    Kung-Cheng Ho;Huang-Ping Yen;Yan Gu;Lisi Shi
  • 通讯作者:
    Lisi Shi
The Electronic and Optical Properties of InSe-GeTe Heterobilayer via Applying Biaxial Strain
应用双轴应变研究 InSe-GeTe 异质双层的电子和光学性质
  • DOI:
    10.3390/nano9121705
  • 发表时间:
    2019-11
  • 期刊:
  • 影响因子:
    5.3
  • 作者:
    Guofeng Yang;Rui Sun;Yan Gu;Feng Xie;Yu Ding;Xiumei Zhang;Yueke Wang;Bin Hua;Xianfeng Ni;Qian Fan;Xing Gu
  • 通讯作者:
    Xing Gu
Silicon-on-Insulator Lateral DMOS With Potential Modulation Plates and Multiple Deep-Oxide Trenches
具有电位调制板和多个深氧化沟槽的绝缘体上硅横向 DMOS
  • DOI:
    10.1109/ted.2021.3105943
  • 发表时间:
    2021-10
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Jie Ma;Long Zhang;Jing Zhu;Wangming Cui;Yongjiu Cui;Xinyu Liu;Weifeng Sun;Yan Gu;Nailong He;Sen Zhang;Mingfei Huang
  • 通讯作者:
    Mingfei Huang

Yan Gu的其他文献

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{{ truncateString('Yan Gu', 18)}}的其他基金

CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    $ 38.38万
  • 项目类别:
    Continuing Grant
CAREER: A Hybrid Filtering and Robust Control Framework for Legged Robot Locomotion on Dynamic Rigid Surfaces
职业生涯:用于动态刚性表面上的腿式机器人运动的混合过滤和鲁棒控制框架
  • 批准号:
    2046562
  • 财政年份:
    2021
  • 资助金额:
    $ 38.38万
  • 项目类别:
    Standard Grant
Global-Position Tracking Control for Highly Versatile Bipedal Robotic Walking
用于高度多功能双足机器人行走的全球位置跟踪控制
  • 批准号:
    1934280
  • 财政年份:
    2019
  • 资助金额:
    $ 38.38万
  • 项目类别:
    Standard Grant

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用于高度多功能双足机器人行走的全球位置跟踪控制
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