تقرير
Traversability-aware Adaptive Optimization for Path Planning and Control in Mountainous Terrain
| العنوان: | Traversability-aware Adaptive Optimization for Path Planning and Control in Mountainous Terrain |
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| المؤلفون: | Yoo, Se-Wook, Son, E In, Seo, Seung-Woo |
| المصدر: | IEEE Robotics and Automation Letters 2024 |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Robotics |
| الوصف: | Autonomous navigation in extreme mountainous terrains poses challenges due to the presence of mobility-stressing elements and undulating surfaces, making it particularly difficult compared to conventional off-road driving scenarios. In such environments, estimating traversability solely based on exteroceptive sensors often leads to the inability to reach the goal due to a high prevalence of non-traversable areas. In this paper, we consider traversability as a relative value that integrates the robot's internal state, such as speed and torque to exhibit resilient behavior to reach its goal successfully. We separate traversability into apparent traversability and relative traversability, then incorporate these distinctions in the optimization process of sampling-based planning and motion predictive control. Our method enables the robots to execute the desired behaviors more accurately while avoiding hazardous regions and getting stuck. Experiments conducted on simulation with 27 diverse types of mountainous terrain and real-world demonstrate the robustness of the proposed framework, with increasingly better performance observed in more complex environments. Comment: 8 pages, 7 figures, accepted 2024 RA-L |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1109/LRA.2024.3387042 |
| URL الوصول: | http://arxiv.org/abs/2404.03274 |
| رقم الأكسشن: | edsarx.2404.03274 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1109/LRA.2024.3387042 |
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