Name
Abstract | ||
|---|---|---|
Motion planning is one of the main problems studied in the field of robotics. However, it is still challenging for the state-of-the-art methods to handle multiple conditions that allow better paths to be found. For example, considering joint limits, path smoothness and a mixture of Cartesian and joint-space constraints at the same time pose a significant challenge for many of them. This letter pro... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LRA.2019.2927956 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Planning,Collision avoidance,Trajectory optimization,Service robots | Motion planning,Performance guarantee,Control engineering,Artificial intelligence,Engineering,Smoothness,Extensibility,Robotics,Cartesian coordinate system | Journal |
Volume | Issue | ISSN |
4 | 4 | 2377-3766 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bence Magyar | 1 | 1 | 1.03 |
| Nikolaos Tsiogkas | 2 | 5 | 2.81 |
| Jeremie Deray | 3 | 2 | 2.07 |
| Sammy Pfeiffer | 4 | 0 | 0.68 |
| David M. Lane | 5 | 224 | 41.74 |