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A Geometric Control Framework for Enabling Behavior-Based Planning and Locomotion of Undulatory Robots

A Geometric Control Framework for Enabling Behavior-Based Planning and Locomotion of Undulatory Robots
用于实现基于行为的波动机器人规划和运动的几何控制框架
批准号:
1562911
负责人:
Patricio Vela
金额:
$29.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-06-01 至 2022-05-31

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中文摘要
翻译
蛇形机器人具有细长的超驱动身体,能够在复杂环境中机动。这些平台因其在通过瓦砾、狭窄空间和其他标准机器人难以到达的区域时的机车优势而备受赞誉。然而,如果没有一个可靠的系统反馈控制框架,蛇形机器人就无法从遥操作过渡到完全自主。该奖项将支持从基本机械原理出发对蛇运动进行动态建模的进展。这些模型对于控制机器蛇和其他波动系统非常重要,并将消除自主性的关键障碍。该奖项还将支持对鳞片在蛇运动中所起作用的基础研究,包括创造机器人蛇皮,使蛇形机器人能够实现实际蛇鳞片的运动优势。该项目的最终目标是通过一个未知的环境演示自主蛇操作。这样做将使机器蛇更接近于在危险环境中进行搜索和救援,检查和操作。研究结果也将适用于类似的生物启发机器人,如游泳和扑翼飞行机器人。机器人的普及将被用来创造吸引人的教育和推广活动,以促进工程数学。蛇形机器人是高维的,铰接的无肢机器人,利用对连续形态特征的控制,以各种方式实现运动。科学已经揭示了运动背后的物理原理,而工程师已经复制了基本机制,并可以远程操作这些机器人。然而,可操作的反馈控制策略的创建并没有完全解决。缺少的是物理和数学公式,桥梁的差距差距从实现波动步态的控制执行沿着规划路径。为了解决差距,这个项目将设计,并证明性能的好处,仿生规模制造机器蛇。所设计的鳞片将再现蛇鳞片的结构和各向异性摩擦特性。此外,研究将使用时空平均推导出减少控制方程的波动机器人系统中的身体的内部自由度建模的连续。实现这两个目标将解决生物启发的波动机器人和传统工程机器人之间长期存在的成就差距。
英文摘要
Equipped with a slender and over-actuated body, snake-like robots have the ability to maneuver through complex environments. These platforms have been heralded for their locomotive advantages when navigating through rubble, tight spaces, and other areas hard to reach with standard robots. Yet, without a reliably systematic feedback control framework, snake-like robots cannot make the transition from teleoperation to full autonomy. This award will support advances in the dynamic modeling of snake locomotion from fundamental mechanical principles. These models are important for controlling robotic snakes, and other undulatory systems, and will remove a key obstacle to autonomy. The award will also support fundamental research into the role that scales play in snake locomotion, including the creation of robotic snake skin that will enable snake-like robots to realize the locomotive advantages of actual snake scales. The end goal of the project is to demonstrate autonomous snake operation through an unknown environment. Doing so will bring robotic snakes significantly closer to being deployable for search and rescue, inspection, and operation in hazardous environments. The research findings will also apply to similar biologically-inspired robots, such as swimming and flapping-wing flying robots. The popularity of robotics will be leveraged to create engaging educational and outreach activities in promotion of engineering mathematics.Snake-like robots are high-dimensional, articulated limbless robots that exploit control over a continuous morphological feature to achieve locomotion in a variety of ways. Science has exposed the physical principles underlying locomotion, while engineers have reproduced the fundamental mechanisms and can teleoperate these robots. However the creation of actionable feedback control policies is not fully resolved. What is missing is the physical and mathematical formulation that bridges the gap from achievement of undulatory gaits to the controlled execution of motion along a planned path. To address the gap, this project will design, and demonstrate the performance benefits of, biologically inspired scale fabrication for robotic snakes. The designed scales will reproduce the structural and anistropic friction properties of snake scales. Further, the research will use spatio-temporal averaging to derive reduced control equations for undulatory robotic systems where the body's internal degrees of freedom are modeled in the continuum. Achieving these two objectives will resolve a long-standing achievement gap between biologically inspired, undulatory robots and traditionally engineered robots.
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Kickstarting Advances in Assistive and Rehabilitative Technologies
  • 批准号:
    2125017
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2021
  • 负责人:
    Patricio Vela
  • 依托单位:
FW-HTF-RM: Collaborative Research: Supervise It! Optimizing Intelligent Robot Integration Through Feedback to Workers and Supervisors
  • 批准号:
    2026611
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.72万
  • 财政年份:
    2020
  • 负责人:
    Patricio Vela
  • 依托单位:
S&AS:FND:Viewer-Centric Spatial Reasoning and Learning for Safe Autonomous Navigation
  • 批准号:
    1849333
  • 项目类别:
    Standard Grant
  • 资助金额:
    $47.0万
  • 财政年份:
    2019
  • 负责人:
    Patricio Vela
  • 依托单位:
RI:Small:Exploiting the Evolving Conditioning of Bundle Adjustment for Robust, Adaptive Simultaneous Localization and Mapping
  • 批准号:
    1816138
  • 项目类别:
    Standard Grant
  • 资助金额:
    $41.96万
  • 财政年份:
    2018
  • 负责人:
    Patricio Vela
  • 依托单位:
国内基金
海外基金
Cortical control of internal state in the insular cortex-claustrum region