<title>Robotic concepts for urban operations</title>
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
While land vehicles in open terrains is currently the primary military operation, it is expected that an increasing number of conflicts will occur in urban setting. Urban robots must operate under mobility, communication, perception and control conditions far more demanding than their open terrain counterparts. The Defense Research Establishment Suffield (DRES) is being tasked to develop robots, unmanned vehicles and supports system to aid the Canadian Forces in urban operations. In preparation for this role DRES personnel were invited to participate in operation Urban Ram, a large urban war game held on the grounds of CFB Griesbach in Edmonton. This paper presents the lessons learned at Urban Ram as to what roles robots could fulfill and the challenges of urban environments that must be overcome. Also presented will be robotic concepts inspired by Urban Ram, specifically discussed will be High Utility Robotics (HUR), which combines geometric shape shifting with function morphing to provide the general purpose, high mobility and broad application robots required for urban environments.
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 | 0.001 | 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