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Digital Systems Teaching and Research (DSTR) Robot: A Flexible Platform for Education and Applied Research
The DSTR (pronounced “Disaster”) robot has a strong history of being adaptable to different user’s needs, and there are many opportunities ahead that indicate that the sky, quite literally, is not the limit for this robust platform. This paper provides a historical perspective on the development of the DSTR robot as a collaborative design developed by the Mobile Integrated Solutions Laboratory (MISL) at Texas A&M University and ASEP 4X4 Inc. Texas Instruments has been a major partner in the integration of the control electronics, and Texas Space Technology Applications and Research (T STAR) LLC has played a significant role in the propagation of the DSTR robot as an adaptable applied research/education/STEM outreach platform. The paper will present examples of the strong industry-academic relationships that allow the DSTR robot to be utilized in a multitude of experiential learning environments. In addition to a number of STEM outreach activities, the DSTR robots are being used in the Introduction to Engineering course at Blinn College and in the Freshman Engineering curriculum at Texas A&M University. DSTRs have also been selected by NASA scientists as a low-cost lunar sample collector. The paper will also discuss the newly developed DSTR-E (DSTR Engineering) unit which requires students to perform several engineering tasks during the build process. The paper will also include the lessons learned from initial design through its transfer to the private sector for commercialization and future plans.Cockrell School of Engineerin
Ke Ao: A Low-Cost 1U CubeSat for Aerospace Education and Research in Hawaii
The Ke Ao satellite is a low-cost 1U CubeSat designed and developed by an undergraduate team of engineering students at the University of Hawaii at Manoa (UHM) in collaboration with the Hawaii Space Flight Laboratory (HSFL). The primary goal of the mission is to take one or more pictures from space and automatically identify the Hawaiian Islands using Machine Learning Algorithms - this will demonstrate improved onboard operational autonomy in space. A secondary goal of this project is to promote Aerospace Education and Workforce training in Hawaii. The Ke Ao project was inspired by the Hiapo CubeSat initiative of the Hawaii Science and Technology Museum as a unique platform used to provide engaging meaningful hands-on STEM curriculum for Hawaii students K-12. The realization that low-cost flight hardware, in the order of ~10,000 with built parts; and (3) launch-ready via the NASA CSLI application and requirements. To address these objectives Ke Ao uses spaceflight capable but low-cost hardware flown in previous CubeSat missions and consists of seven primary subsystems: Attitude Determination and Control System, Communications, Electrical Power Systems, On-Board Computer and Flight Software, Payload, Structure and Mechanisms, and Thermal Control Systems. Ke Ao will use onboard magnetic torquers to control the attitude of the payload and take pictures of the Hawaiian Islands. The data will be transmitted to the HSFL ground stations in Hawaii and through the SatNOGS ground station network across the World. Ke Ao’s mission and primary goals are in line with the 2018 NASA Strategic Plan’s Strategic Objective 3.3 to Inspire and Engage the Public in Aeronautics, Space, and Science and contribute to the Nation’s science literacy
Overview of technologies for building robots in the classroom
This paper aims to give an overview of technologies that can be used to implement robotics within an educational context. We discuss complete robotics systems as well as projects that implement only certain elements of a robotics system, such as electronics, hardware, or software. We believe that Maker Movement and DIY trends offers many new opportunities for teaching and feel that they will become much more prominent in the future. Products and projects discussed in this paper are: Mindstorms, Vex, Arduino, Dwengo, Raspberry Pi, MakeBlock, OpenBeam, BitBeam, Scratch, Blockly and ArduBlock
Designing experiments using digital fabrication in structural dynamics
In engineering, traditional approaches aimed at teaching concepts of dynamics to engineering students include the study of a dense yet sequential theoretical development of proofs and exercises. Structural dynamics are seldom taught experimentally in laboratories since these facilities should be provided with expensive equipment such as wave generators, data-acquisition systems, and heavily wired deployments with sensors. In this paper, the design of an experimental experience in the classroom based upon digital fabrication and modeling tools related to structural dynamics is presented. In particular, all experimental deployments are conceived with low-cost, open-source equipment. The hardware includes Arduino-based open-source electronics whereas the software is based upon object-oriented open-source codes for the development of physical simulations. The set of experiments and the physical simulations are reproducible and scalable in classroom-based environments.Peer ReviewedPostprint (author's final draft
An internet of laboratory things
By creating “an Internet of Laboratory Things” we have built a blend of real and virtual laboratory spaces that enables students to gain practical skills necessary for their professional science and engineering careers. All our students are distance learners. This provides them by default with the proving ground needed to develop their skills in remotely operating equipment, and collaborating with peers despite not being co-located. Our laboratories accommodate state of the art research grade equipment, as well as large-class sets of off-the-shelf work stations and bespoke teaching apparatus. Distance to the student is no object and the facilities are open all hours. This approach is essential for STEM qualifications requiring development of practical skills, with higher efficiency and greater accessibility than achievable in a solely residential programme
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