The Atlas Project
2020
- 7Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage7
- Abstract Views7
Artifact Description
The Atlas Project started as a "simple" retrofit to bring a handful of old Atlas-II robotic arms, built in the 1980s, into the modern age of computing, as a low-cost solution for robotics trainers. The initial challenge with the project was reverse engineering the functionality of the original control system, with the only documentation available being a technical manual and a user manual, both lacking sufficiently detailed information to determine the bit-level operation of the hardware. Through experimentation the function of the circuit was deduced, and a testing setup was constructed to begin using LabVIEW, a data acquisition and control programming environment developed by National Instruments, to design a control system using a USB Data Acquisition module (DAQ) as a replacement for their "micro card." LabVIEW was chosen as the programming environment for the flexibility of the programs, called virtual instruments (VIs), the documentation tools and the graphical programming interface. In the years since the retrofit process began, this project has undergone multiple revisions. The driving force of the project was to reduce the cost of teaching hands-on industrial robotics, and give students the tools to apply their knowledge in a tangible way. College of Education & Professional Studies Presentation Award Winner.
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