An internet-based distributed multiple-telerobot system
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
Internet-based telerobotic systems have been evolving rapidly in recent years. Using Web-based technology, telerobotic systems have been shown to have an increasing potential for a variety of applications including remote control, manufacturing, surgery, training, and education. In this paper, we present an Internet-based distributed, multiple-telerobot system that enables operators to use remote robots in order to perform cooperative tasks. Several multiple-telerobot demonstration programs have been designed, including a single telerobot training program, a multiple-telerobot "group object-handling" program, and pairs of telerobots serving Internet participants playing with a Rubik's Cube to illustrate Internet-based interaction and collaboration. Experimental tests have been performed on three demonstration programs that are presented in this paper.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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