A study of the applications of a spring-assisted modular and reconfigurable robot for safe robot operation
Bibliographic record
Abstract
A novel spring-assisted modular and reconfigurable robot (SA-MRR) has been recently developed at our laboratory to reinforce its performance, and to enable safe and dexterous operations in human environments. A power spring is inserted between the brake rotor and the motor shaft through a decoupling bearing. With the spring engaged, the working range of the joint is mechanically limited for safe operations, and such a limited working range can be established at any joint position. The safety aspect of the SA-MRR is investigated by operating the robot in a limited workspace created by activating the spring. The trajectory tracking capability of the SA-MRR is explored by comparing trajectories followed by a conventional MRR and SA-MRR in a restricted workspace, while lifting a heavy payload. Trajectory tracking is performed with various payloads to demonstrate the SA-MRR’s superior payload handling capacity performance due to addition of the spring-generated moment. These algorithms have been implemented on a 3-DOF SA-MRR and numerical simulations have been carried out to investigate the improved tracking accuracy and safety features due to addition of the spring-brake system.
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.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".