Design, Prototyping and Control of Low-Impedance Hybrid Robots forIntuitive Physical Human-Robot Interaction
Bibliographic record
Abstract
Over the past decades, parallel mechanisms have found applications in many areas including motion simulation, highspeed robots, machine-tools and cable-driven systems, to name a few. More recently, parallel and hybrid robots have been proposed in the emerging field of physical human-robot interaction (pHRI) which aims at taking advantage of the complementary capabilities of robots and humans. One of the key challenges in pHRI is to provide an intuitive physical interaction to the human user. Due to their low moving inertia, parallel robots can be used advantageously to design lowimpedance mechanical interfaces in order to increase the mechanical bandwidth of the human-robot interaction, thereby leading to a very intuitive behaviour. In this presentation, the use of parallel and hybrid robots in the design of pHRI devices is proposed and examples of prototypes developed at Laval University are shown. The use of kinematic redundancy in order to increase the rotational workspace is also discussed. The results clearly demonstrate the capability of parallel mechanisms to provide high interaction bandwidth for pHRI robots.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".