MODULAR DESIGN FOR SPACE ENGINEERING RESEARCH PLATFORMS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this paper, we describe a modular design approach that is used in developing several research platforms for space engineering research at York University. We briefly describe three distinct research projects for space science and engineering research: a 6kg micro-rover under development for the Northern Light mars lander mission, a 50kg rover built by the York University Rover Team to compete in the annual University Rover Challenge, and a 1U CubeSat design for nanosatellite technology development research. All three research projects share a design philosophy to achieve modularity, efficiency, robustness and simplicity by adopting a common embedded hardware configuration using COTS hardware and a simple control topology. An on-board computer board stack based on a PC/104 or similar form-factor provides centralized control using an ARM microcontroller. Payloads and application-specific components are added using robust SPI, synchronous serial, and RS-485 interfaces, with provision made for ethernet and USB connectivity when needed. The software for this system is is based on open-source compilers and operating systems and is also modular in nature, using a portable base station GUI, wireless mesh networking between different systems, and JAUS messaging for flexible component-level communications. The proposed design approach allows sharing of resources while optimizing design features with cost-effective, readily-available commercial components for complex research projects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it