Name
Abstract | ||
|---|---|---|
We address the issue of building scalable and reusable path planners for realistic robot manipulators working in three-dimensional space amid complex geometry, by presenting the latest version of our robot manipulator planning toolbox, OXSIM. OXSIM is designed to greatly simplify the building ol: planners by providing core competence in three-dimensional geometry. This is done by the provision of efficient routines for computing the distance between parts of the robot and ifs environment. A new version of OXSIM, written in C++, provides an object-oriented interface to the basic system, which increases its ease of use. Here we give an overview of OXSIM and how it works and describe a modified version of the probabilistic road map planner that we have implemented under the framework. (C) 2001 John Wiley & Sons, Inc. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1002/rob.1034 | JOURNAL OF ROBOTIC SYSTEMS |
Keywords | Field | DocType |
path planning | Motion planning,Software engineering,Computer science,Road map,Usability,Toolbox,Planner,Control engineering,Artificial intelligence,Probabilistic logic,Robot,Scalability | Journal |
Volume | Issue | ISSN |
18 | 8.0 | 0741-2223 |
Citations | PageRank | References |
3 | 0.50 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephen Cameron | 1 | 9 | 2.87 |
| Joe Pitt-Francis | 2 | 121 | 13.88 |