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An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments
Sampling Based Path Planning: RRT* SMART
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Last Updated: October 18, 2026
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The following papers were used as reference for this video: [1] Hussain Qureshi, A., & Ayaz, Y. (2017). Mark Henderson and Trung Dung Ngo The More-Than-One Robotics Laboratory University of Prince Edward Island, Canada ... See the other videos in this series: youtube.com/playlist?list=PLn8PRpmsu08rLRGrnF-S6TyGrmcA2X7kg This video ... The paper that first described this This is a video supplement to the book "Modern Robotics: Mechanics, A video for our IJRR 2022 paper, "Adaptively Informed Trees (AIT*) and Effort Informed Trees (EIT*): Asymmetric bidirectional ... Speakers: David Hsu, National University of Singapore. The presented framework is available on Github! - github.com/ethz-asl/mav_active_3d_planning Additional information can ...
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