thesetechnologies. The two columns of data reflect participant group preferences. Thus, the first row(under Autonomous Robots) in Table 2, “Programming”, was among the top five selections for34% of the manufacturers and 52% of the college faculty.The plan for the data analysis was to address the five questions summarized in Table 3. The orderof the questions in the table does reflect the analysis progression through the aggregated data.Thus, the first order of events was to determine the popular skill selections for manufacturers andeducators. Once those selection percentages were reviewed, the degree of popularity by groupwas explored. After reviewing aggregated responses, the fourteen skills were grouped based ondifferences between the manufacturers’ and
of an Arduino-based modular structure and possible use of self-configuration. This paper includes the detailedsketch of the development efforts, engineering students’ reflections on the development project,design and delivery of the high school workshop including high school student feedback, andpossible future college level curricular designs for modular industrial robotics for industrial,mechanical, and manufacturing engineering programs. The paper is concluded with future workconcepts including possible kinematics and dynamics modeling of these industrial robotconfigurations through simulation tools such as DELMIA or MapleSIM, along with use ofmachine learning for self-configuration.BackgroundThe modular robot is a fairly new type
-axisCNC machine through a grant awarded by DoD, and in the future we will continue enhancing ourlaboratorial tools and environment on multi-axis machining for aerospace parts such as blisks andturbine blades, and then integrate and evaluate these tools in the Manufacturing Engineeringcurriculum.AcknowledgementThe authors would like to acknowledge support from NASA (award number: 80NSSC20M0015).The blisks machining tasks was also partially supported by DoD (award number:W911NF1910464). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of NASA and DoD.Reference1 . 2020 Facts and Figures U.S. Aerospace and Defense https://www.aia-aerospace.org/wp
workshops. While only two and three states were represented in the first andsecond workshops consecutively, 18 states were represented in the third workshop. Almostsimilar advertising efforts were made for all three workshops, with more outreach efforts madeto regional institutions for the first and second workshops than for the third workshop. Figure 2: On-ground AM-WATCH Studio Workshop Participants with Social Distancing and Use of Mask (Left). An on-ground AM-WATCH Studio Workshop Participant working on his 3D Pen exercise (Right).Despite the increase in diversity by state, the online workshop saw a noticeable decrease inapplicants from high schools compared to higher education institutions. This is reflected in