DA-SLAM: Deep Active SLAM based on Deep Reinforcement Learning
Author:
Affiliation:
1. Instituto de Computación,Facultad de Ingeniería,Montevideo,Uruguay
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9995716/9995730/09996006.pdf?arnumber=9996006
Reference17 articles.
1. Exploration with active loop-closing for FastSLAM
Cited by 4 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. SLAYO-RL: A Target-Driven Deep Reinforcement Learning Approach with SLAM and YoLo for an Enhanced Autonomous Agent;2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE);2023-10-09
2. Active SLAM: A Review on Last Decade;Sensors;2023-09-27
3. Research on Path Planning Based on NAO Robot;2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA);2023-08-11
4. Robust Active Simultaneous Localization and Mapping Based on Bayesian Actor-Critic Reinforcement Learning;2023 IEEE Conference on Artificial Intelligence (CAI);2023-06
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