Learning Local Planners for Human-aware Navigation in Indoor Environments-Reference-Cited by-同舟云学术

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Learning Local Planners for Human-aware Navigation in Indoor Environments

Published:2020-10-24 Issue: Volume: Page:
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Container-title:2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Guldenring Ronja,Gorner Michael,Hendrich Norman,Jacobsen Niels Jul,Zhang Jianwei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9340668/9340635/09341783.pdf?arnumber=9341783

Cited by 43 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recent progress, challenges and future prospects of applied deep reinforcement learning : A practical perspective in path planning;Neurocomputing;2024-12

2. EPPE: An Efficient Progressive Policy Enhancement framework of deep reinforcement learning in path planning;Neurocomputing;2024-09

3. Optimal path planning using bidirectional rapidly-exploring random tree star-dynamic window approach (BRRT*-DWA) with adaptive Monte Carlo localization (AMCL) for mobile robot;Engineering Research Express;2024-07-25

4. Deep Reinforcement Learning Based Mobile Robot Navigation in Crowd Environments;2024 21st International Conference on Ubiquitous Robots (UR);2024-06-24

5. Attention-based deep reinforcement learning approach for robot navigation in dynamic environments;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

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