SBIR Phase I: Cloud Based Laboratory for Remote Experiential Learning in Robotics

SBIR 第一阶段：基于云的机器人远程体验式学习实验室

• 批准号: 1747193
• 负责人: Raghav Mahalingam
• 金额: $ 22.49万
• 依托单位: Apptronik
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1747193&HistoricalAwards=false
• 关键词: SBIR; Phase; Cloud; Based; Laboratory

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to enable students and trainees to take state-of-the-art robotics laboratory classes from anywhere in the world. The proposed learning system is aimed to be incorporated as online courses, with the potential of being attended by more than a million students. The addressable market represents hundreds of millions of dollars considering online courses, secondary schools and industrial training. Laboratory courses in colleges and high schools require students to be physically present next to the equipment. With the proposed remote robotics laboratory, students and trainees can take laboratory classes just turning on their mobile devices or computers. Most importantly, the students can conduct the laboratory tutorials anywhere across the globe and at any time. This technology can be transformative for accessing expensive laboratory equipment not present in many institutions or companies. The system we provide consists of a robotic device currently being used inside NASA robots. Therefore, students using the remote laboratory will learn the use of real-world, state-of-the-art equipment that can be highly valuable for their job careers in STEM fields.The proposed project will solve two key problems in online learning. First, no known commercially available laboratory online course exists that provides students remote hands-on experimentation. The second is that the same content is delivered to all students regardless of their current understanding level. Distributed communications, robotic software and web framework technologies will be integrated to provide access to state-of-the-art laboratory equipment. The second key innovation is the delivery of content adaptively tailored to individual needs. The innovation, consists of three key components. A web framework that connects equipment to servers and personal mobile devices, an intelligent content tutoring system, scheduling usage times and student evaluation regarding skill acquisition and assessments. The team anticipates that being remotely located will be slightly less effective than being next to the equipment but superior than learning theory only.

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是使学生和学员能够从世界任何地方参加最先进的机器人实验室课程。拟议的学习系统旨在作为在线课程纳入，有可能有100多万学生参加。考虑到在线课程，中学和工业培训，可寻址市场代表数亿美元。大学和高中的实验室课程要求学生亲自出现在设备旁边。有了拟议中的远程机器人实验室，学生和受训者只需打开他们的移动的设备或计算机就可以参加实验室课程。最重要的是，学生可以在任何时间、任何地点、任何地点进行地球仪的实验室教学。这项技术可以改变许多机构或公司没有的昂贵实验室设备。我们提供的系统由目前在NASA机器人内部使用的机器人设备组成。因此，使用远程实验室的学生将学习使用真实世界的最先进的设备，这些设备对他们在STEM领域的职业生涯非常有价值。拟议的项目将解决在线学习中的两个关键问题。首先，没有已知的商业上可用的实验室在线课程存在，提供学生远程动手实验。第二，无论学生目前的理解水平如何，都将向所有学生提供相同的内容。分布式通信、机器人软件和网络框架技术将被整合，以提供最先进的实验室设备。第二个关键创新是根据个人需求提供适应性的内容。创新包括三个关键组成部分。将设备连接到服务器和个人移动的设备的网络框架、智能内容辅导系统、调度使用时间以及关于技能获取和评估的学生评估。该团队预计，远程定位将比在设备旁边略差，但比只学习理论上级。