Stochastic 2-d motion planning with a POMDP framework

Turnitin 降AI改写 早检测系统 早降重系统 Turnitin-UK版 万方检测-期刊版 维普编辑部版 Grammarly检测 Paperpass检测 checkpass检测 PaperYY检测
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ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates

G Puthumanaillam, M Vora… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
Optimal decision-making for trajectory tracking in partially observable, stochastic
environments where the number of active localization updates—the process by which the …
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Risk-aware trajectory planning using energy-based analysis for aerial vehicles

HK Lee, CM Harris, AP Payan, D Mavris - AIAA Aviation 2021 Forum, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-3175. vid Unmanned aerial
systems increasingly operate in the national airspace and crowded urban environments …
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[ЦИТАТА][C] Monte-Carlo policy synthesis in POMDPs with quantitative and qualitative objectives

AAR Newaz, S Chaudhuri, LE Kavraki - Robotics: Science and Systems XV, University …, 2019
Зберегти Послатися Цитовано в 6 джерелах Пов’язані статті