Control strategies for hardware-in-the-loop simulation of flexible space 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
As a partner in the International Space Station (ISS), Canada is responsible for the verification of all tasks involving the special purpose dextrous manipulator (SPDM). Those verifications cannot be performed using software simulators only since the accuracy of existing contact dynamic models are yet to be confirmed, especially in the real-time mode required for verifying human operated processes. One option is to use a hardware-in-the-loop simulation (HLS), where the space hardware is simulated and the contact dynamics is emulated using a rigid robot performing the tasks. The main difficulty in this approach is the trade-off between the stability of the control loop and good performance. The control of the rigid robot in the HLS is investigated. Simplified linear systems are used to determine the limitations of the classical position-based control when contact occurs. A new control scheme in which the slave robot is driven in acceleration is proposed. Both methods were tested experimentally and the results show the benefit of using this new acceleration control approach.
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