Name
Title | ||
|---|---|---|
A Predictive Model for Use of an Assistive Robotic Manipulator: Human Factors Versus Performance in Pick-and-Place/Retrieval Tasks. |
Abstract | ||
|---|---|---|
The goal of this study was to model the important individual differences to predict a user's performance when operating an assistive robotic manipulator for a general population. Prior research done led to the identification of ten potential human factors to be observed including dexterity (gross and fine), spatial abilities (orientation and visualization), visual acuity in each eye, visual percep... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/THMS.2016.2604366 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Human-robot interaction,Human factors,Robot sensing systems,Predictive models,Manipulators,Rehabilitation robotics,Machine learning,Modeling | Computer vision,Population,Computer science,Linear model,Artificial intelligence,Test data,SMT placement equipment,Rehabilitation robotics,Spatial ability,Visual perception,Human–robot interaction,Machine learning | Journal |
Volume | Issue | ISSN |
46 | 6 | 2168-2291 |
Citations | PageRank | References |
1 | 0.37 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicholas Paperno | 1 | 1 | 1.05 |
| Michael A. Rupp | 2 | 34 | 3.36 |
| Edgard M Maboudou-Tchao | 3 | 45 | 6.60 |
| Janan Al-Awar Smither | 4 | 24 | 13.14 |
| Aman Behal | 5 | 144 | 20.69 |