Lightweight tablet devices for command and control of ROS-enabled robots
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
Effective interaction with autonomous devices is a complex problem as the devices themselves are mobile. For the vast majority of devices operating over an extended range a fixed operator or oversight position is inappropriate and mobile oversight becomes essential. Although walking in the vicinity of an autonomous robot with a networked laptop may be appropriate for some environments, such an approach becomes increasingly cumbersome as the robot moves out into the field where weather and other operational concerns are factors. Here we examine the use of lightweight tablet computers as a generic interface to autonomous systems. We demonstrate how ROS-enabled computers can be controlled using Android tablets using standard software toolkits. Tools have been developed for the automatic conversion between ROS messages and the corresponding user interface elements on the tablet and a collection of robot-centric user interface elements have been developed to assist in developing systems for different robot sensors and platforms. Systems are demonstrated for unmanned underwater, surface, flying and rolling ground contact vehicles.
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