Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments-Reference-Cited by-同舟云学术

Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments

Published:2022-10-23 Issue: Volume: Page:
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Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Bouman Amanda¹,Ott Joshua²,Kim Sung-Kyun³,Chen Kenny⁴,Kochenderfer Mykel J.²,Lopez Brett⁵,Agha-mohammadi Ali-akbar³,Burdick Joel¹

Affiliation:

1. California Institute of Technology,Department of Mechanical and Civil Engineering

2. Stanford University,Department of Aeronautics and Astronautics

3. NASA Jet Propulsion Laboratory, California Institute of Technology

4. University of California Los Angeles,Department of Electrical and Computer Engineering

5. University of California Los Angeles,Department of Mechanical and Aerospace Engineering

Publisher

IEEE

Link

Reference18 articles.

3. Submodular trajectory opti-mization for aerial 3d scanning;roberts;Proceedings of the IEEE International Conference on Computer Vision,2017

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3. Adaptive Coverage Path Planning of Marine Vehicles with Multi-Sensor;2024 3rd Conference on Fully Actuated System Theory and Applications (FASTA);2024-05-10

5. Fast and Scalable Signal Inference for Active Robotic Source Seeking;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29