On Task-Specific Redundant Actuation of Spring-Assisted Modular and Reconfigurable Robot
Bibliographic record
Abstract
Modular and reconfigurable robots (MRRs) are unique and highly versatile for their self-innovation potential. Multiple working mode (MWM) on-line control adds potential by enabling each spring-assisted MRR (SA-MRR) joint module to switch independently between primary (motor-only) mode, and secondary, redundant actuation (spring-assisted) mode. In this work we proposed the spring-assisted mode as an on-board, physical innovation aid for uncertain, task-critical manipulation acts in uncontrolled environments. The spring-assisted mode is characterized by synergy of the spring and motor energy, and strengthens the SA-MRR by complementing the net actuation effort to help overcome task failure, to improve competency at ordinary tasks, and to enhance SA-MRR suitability as a tool for new tasks. Spring modules are fully reconfigurable offline through component swapping, and human-robot collaboration safety is considered. Task-specific, physical innovation with the SA-MRR was investigated by applying the spring-assisted mode directly to strenuous task segments in simulation case studies, demonstrating effectiveness of the proposed MWM approach.
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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".