Name
Abstract | ||
|---|---|---|
Detecting and tracking people is becoming more important in robotic applications because of the increasing demand for collaborative work in which people interact closely with and in the same workspace as robots. New safety standards allow people to work next to robots, but require that they be protected from harm while they do so. Sensors that detect and track people are a natural way of implementing the necessary safety monitoring, and have the added advantage that the information about where the people are and where they are going can be fed back into the application and used to give the robot greater situational awareness for performing tasks. The results should help users determine if such a system will provide sufficient protection for people to be able to work safely in collaborative applications with industrial robots. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s10846-016-0334-3 | Journal of Intelligent and Robotic Systems |
Keywords | Field | DocType |
Human detection,Human-robot collaboration,Human tracking,Performance evaluation,Performance metrics,Robot safety | Situation awareness,Workspace,Harm,Control engineering,Human–computer interaction,Safety monitoring,Engineering,Robot,Embedded system,Safety standards | Journal |
Volume | Issue | ISSN |
83 | 1 | 0921-0296 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Will Shackleford | 1 | 34 | 5.50 |
| Geraldine S. Cheok | 2 | 5 | 2.36 |
| Tsai Hong | 3 | 53 | 6.15 |
| Kamel S. Saidi | 4 | 6 | 2.20 |
| Michael Shneier | 5 | 257 | 52.18 |