Name
Abstract | ||
|---|---|---|
This article presents a practical implementation of the theory for articulation of spatial robots such as the PUMA and TRS type robots. The "Blueprint Algorithm" is introduced as a simple rule-based planning algorithm in which the geometry of interference takes on the role of a basis in a collision-free path planning process amongst obstacles. This implementation presents a novel idea of "Machine Intelligence Via Robot Geometry" which utilizes robot attributes such as workspace and dexterity. |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1002/rob.4620080404 | JOURNAL OF ROBOTIC SYSTEMS |
Keywords | Field | DocType |
obstacle avoidance | Motion planning,Obstacle avoidance,Robot control,Obstacle,Workspace,Artificial intelligence,Engineering,Robot,Robotics,Trajectory | Journal |
Volume | Issue | ISSN |
8 | 4 | 0741-2223 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong J. Choi | 1 | 25 | 4.22 |
| Carl D. Crane | 2 | 34 | 8.32 |
| Gary K. Matthew | 3 | 1 | 0.77 |