CAREER: Hybrid Locomotion Systems for Varying Terrains and Environments

职业：适用于不同地形和环境的混合运动系统

• 批准号: 9876301
• 负责人: James Ostrowski
• 金额: $ 23.4万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-07-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9876301&HistoricalAwards=false
• 关键词: CAREER; Hybrid; Locomotion; Systems; Varying

This award addresses issues of hybrid robotic locomotion systems --- robotic systems that utilize multiplelocomotion modalities in order to achieve greater mobility. Examples of these systems include the use of arms or legs by a wheeled robot to walk or climb stairs, or the use of a tail by a legge&robot to provide swimming thrust or bracing forces in underground tunnels or pipes. Such systems can provide robotic platforms capable of operating in multiple environments, such as underwater, in pipes, or overland. Central to this researchis how to generate appropriate input patterns, or gaits, for hybrid robotic locomotion systems, and how to modify these gaits when moving between environments, such as land to water. Other issues include the development of measures of terrain difficulty and mobility for robotic systems. These would provide a characterization of the mobility of a given robot configuration in relation to the difficulty of the path it must follow through the environment. Issues of sensing, both of the environment and of contact forces actingon the robot, will be addressed. The use of modular components will also be emphasized, in order to provide basic modules, such as legs, tails, and wheels, that can be rapidly configured into a complete robotic system. Using modular components, the experimental side of this research will, focus on the development of three basic robotic platforms: a salamander, a wheel-legged system, and an eel robot. Each of these systems willpotentially possess advanced locomotion and manipulation capabilities that greatly exceed those found in existing robotic systems.The education plan includes building visualization tools and graphics animation to help graduate students understanding difficult concepts by illustration. A website will be established for sharing such tools with educators around the world. At the undergraduate level, research will be integrated into education through senior design projects and the newly formed Penn Robotics Club. At the middle and high school level, an existing robotics mentoring program will be strengthened by introducing an internet-based mobile robot, with associated short-course modules.

该奖项解决了混合机器人运动系统的问题-机器人系统，利用multielocomotion模态，以实现更大的流动性。这些系统的例子包括轮式机器人使用手臂或腿来行走或爬楼梯，或者腿式机器人使用尾巴来提供游泳推力或在地下隧道或管道中的支撑力。这样的系统可以提供能够在多种环境中操作的机器人平台，例如水下、管道中或陆地上。这项研究的核心是如何为混合机器人运动系统生成适当的输入模式或步态，以及如何在环境之间移动时修改这些步态，例如陆地到水。其他问题包括为机器人系统制定地形难度和机动性的措施。这些将提供给定机器人配置的移动性的表征，其与其必须遵循通过环境的路径的难度有关。传感器的问题，无论是环境和接触力actingon机器人，将得到解决。模块化组件的使用也将被强调，以提供基本模块，如腿，尾巴和轮子，可以快速配置成一个完整的机器人系统。使用模块化组件，这项研究的实验方面将集中在三个基本的机器人平台的发展：蝾螈，轮腿系统，和鳗鱼机器人。这些系统中的每一个都可能拥有先进的运动和操纵能力，远远超过现有的机器人系统。教育计划包括建立可视化工具和图形动画，以帮助研究生通过插图理解困难的概念。将建立一个网站，与世界各地的教育工作者分享这些工具。在本科阶段，研究将通过高级设计项目和新成立的宾夕法尼亚机器人俱乐部融入教育。在初中和高中一级，现有的机器人指导计划将通过引入基于互联网的移动的机器人以及相关的短期课程模块来加强。