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Titlebook: Agile Autonomy: Learning High-Speed Vision-Based Flight; Antonio Loquercio Book 2023 The Editor(s) (if applicable) and The Author(s), unde

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发表于 2025-3-21 16:16:26 | 显示全部楼层 |阅读模式
期刊全称Agile Autonomy: Learning High-Speed Vision-Based Flight
影响因子2023Antonio Loquercio
视频video
发行地址Shows algorithms to operationalize vision-based high-speed flight of drones in unstructured environments.Exploits the synergy between perception and action which characterizes natural and artificial a
学科分类Springer Tracts in Advanced Robotics
图书封面Titlebook: Agile Autonomy: Learning High-Speed Vision-Based Flight;  Antonio Loquercio Book 2023 The Editor(s) (if applicable) and The Author(s), unde
影响因子.This book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that can approach or even outperform the agility of birds or human drone pilots with only onboard sensing and computing is challenging and still unsolved..Deep sensorimotor policies, generally trained in simulation, enable autonomous quadrotors to fly faster and more agile than what was possible before. While humans and birds still have the advantage over drones, the author shows the current research gaps and discusses possible future solutions..
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1610-7438 tion and action which characterizes natural and artificial a.This book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that
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Multimodal Management of Metastatic Disease,at the seamless integration of sensing and control is a fundamental feature of biological agents [55]. Can also artificial and embodied agents benefit from a tightly-coupled perception and action loop? My work addresses this question in the context of high-speed agile quadrotor flight.
发表于 2025-3-22 10:13:26 | 显示全部楼层
Introduction,at the seamless integration of sensing and control is a fundamental feature of biological agents [55]. Can also artificial and embodied agents benefit from a tightly-coupled perception and action loop? My work addresses this question in the context of high-speed agile quadrotor flight.
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Future Directions,obotics is still in the early stages and has not yet reached the same maturity level as traditional model-based algorithms. Yet, considerable progress has been made in the last few years, which has clearly shown the potential of deep learning to overcome some of the limitations of conventional model
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Providing Education About PCI for CTO,vidual results and refers to related work and video contributions. In total, this research has been published in 4 peer-reviewed conference publications and 5 journal publications (one in the ., one in ., and three in the .).
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