Virtual-to-real DRL: Continuous Control of Mobile Robots for Mapless Navigation
Abstract We present a learning-based mapless motion planner (基於學習方法的無地圖運動規劃器) by taking the sparse 10-dimensional range findings(稀疏的雷達scan) and the target position with respect to the mobile robot coo
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相關文章
- 1. PR17.10.2:Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
- 2. FollowNet: Robot Navigation by Following Natural Language Directions with DRL
- 3. iOS + XCode 4 + GHUnit = Mobile TDD+Continuous testing
- 4. Feature-constrained Active Visual SLAM for Mobile Robot Navigation
- 5. Continuous control with Deep Reinforcement Learning
- 6. 【5分鐘 Paper】Continuous Control With Deep Reinforcement Learning
- 7. Why Human-Controlled, Force-Multiplying Robots Are the Future of Work on Earth
- 8. Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision
- 9. 【文獻閱讀】Probabilistic Terrain Mapping for Mobile Robots With Uncertain Localization
- 10. 論文閱讀 Optimal Rough Terrain Trajectory Generation for Wheeled Mobile Robots