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Learning Predictions of the Load-Bearing Surface for Autonomous Rough-Terrain Navigation in Vegetation

机译：植被自治粗糙地形导航承载面的学习预测

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作者
Carl Wellington; Anthony (Tony) Stentz;
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年度 2003
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1. Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning [J] . Xinyu Zhang, Chengbo Wang, Yuanchang Liu, Sensors . 2019,第18期

机译：基于场景师和深增强学习的海上自主地面船舶自主导航的决策
2. Behavior acquisition of an autonomous robot by reinforcement learning based on globally coupled chaotic system (2nd report, learning navigational behaviors in dynamic environment) [J] . Yoichiro Nakamura, Kazuhiro Ohkura, Kanji Ueda 日本機械学会論文集. C編 . 1997,第615期

机译：通过基于全局耦合混沌系统的强化学习获得自主机器人的行为（第二份报告，学习动态环境中的导航行为）
3. Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation [J] . Krishnan Srivatsan, Boroujerdian Behzad, Fu William, Machine Learning . 2021,第9期

机译：空中学习：自动空中机器人视觉导航的深度加强学习健身房
4. Learning Predictions of the Load-Bearing Surface for Autonomous Rough-Terrain Navigation in Vegetation [C] . Carl Wellington, Anthony Stentz International Conference on Field and Service Robotics . 2006

机译：植被中自主粗糙地形导航的承载表面学习预测
5. Coordinated Navigation and Localization of an Autonomous Underwater Vehicle Using an Autonomous Surface Vehicle in the OpenUAV Simulation Framework [D] . Anand, Harish. 2020

机译：在Openuav仿真框架中使用自主表面车辆的自主水下车辆协调和定位
6. Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning [O] . Xinyu Zhang, Chengbo Wang, Yuanchang Liu, 2019

机译：基于场景划分和深度强化学习的水面自主舰艇自主航行决策
7. Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning [O] . 2019

机译：基于场景师和深增强学习的海上自主地面船舶自主导航的决策

Learning Predictions of the Load-Bearing Surface for Autonomous Rough-Terrain Navigation in Vegetation

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