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Virtual-to-real DRL: Continuous Control of Mobile Robots for Mapless Navigation
時間 2021-01-02
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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.
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5.
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6.
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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
>>更多相關文章<<