CoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning
Author:
Affiliation:
1. University of Maryland,Department of Information Systems,Baltimore County,USA
2. DEVCOM Army Research Lab,USA
Funder
Arm
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10336009/10336010/10336033.pdf?arnumber=10336033
Reference19 articles.
1. TERP: Reliable Planning in Uneven Outdoor Environments using Deep Reinforcement Learning
2. GA-Nav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments
3. Robotic covert path planning: A survey
4. Planning approaches to constraint-aware navigation in dynamic environments
5. Robot Navigation of Environments with Unknown Rough Terrain Using deep Reinforcement Learning
Cited by 3 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. History-Aware Planning for Risk-free Autonomous Navigation on Unknown Uneven Terrain;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. ARSFineTune: On-the-Fly Tuning of Vision Models for Unmanned Ground Vehicles;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29
3. CoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning;2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS);2023-09-25
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