Name
Title | ||
|---|---|---|
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints |
Abstract | ||
|---|---|---|
Kinodynamic Motion Planning (KMP) is to find a robot motion subject to concurrent kinematics and dynamics constraints. To date, quite a few methods solve KMP problems and those that exist struggle to find near-optimal solutions and exhibit high computational complexity as the planning space dimensionality increases. To address these challenges, we present a scalable, imitation learning-based, Mode... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LRA.2021.3067847 | IEEE Robotics and Automation Letters |
Keywords | DocType | Volume |
Planning,Generators,Aerospace electronics,Computational modeling,Vegetation,Robot motion,Predictive models | Journal | 6 |
Issue | ISSN | Citations |
3 | 2377-3766 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linjun Li | 1 | 1 | 0.69 |
| Yinglong Miao | 2 | 1 | 0.35 |
| Ahmed Hussain Qureshi | 3 | 54 | 8.83 |
| Michael C. Yip | 4 | 140 | 24.72 |