Motion Planning and Navigation on NVIDIA Jetson Orin AGX Real-time execution
7.6CPU Utilization (%)End-to-End DRL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| End-to-End DRLArchitecture=Deep Reinforcement Learning, Integration=End-to-End2024.02 | 7.6 | 12.6 | |
| SLAM + MPCSLAM=2D SLAM, Planner=MPC2024.02 | 21.3 | 14.2 | |
| SLAM + A*SLAM=2D SLAM, Planner=A*2024.02 | 21.6 | 14.3 | |
| SLAM + pRRTSLAM=2D SLAM, Planner=pRRT2024.02 | 22.4 | 14.3 |