Path Planning in 3D with Motion Primitives for Wind Energy-Harvesting Fixed-Wing Aircraft

التفاصيل البيبلوغرافية
العنوان: Path Planning in 3D with Motion Primitives for Wind Energy-Harvesting Fixed-Wing Aircraft
المؤلفون: Ryu, Seung-Keol, Moncton, Michael, Choi, Han-Lim, Frew, Eric
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Robotics
الوصف: In this work, a set of motion primitives is defined for use in an energy-aware motion planning problem. The motion primitives are defined as sequences of control inputs to a simplified four-DOF dynamics model and are used to replace the traditional continuous control space used in many sampling-based motion planners. The primitives are implemented in a Stable Sparse Rapidly Exploring Random Tree (SST) motion planner and compared to an identical planner using a continuous control space. The planner using primitives was found to run 11.0\% faster but yielded solution paths that were on average worse with higher variance. Also, the solution path travel time is improved by about 50\%. Using motion primitives for sampling spaces in SST can effectively reduce the run time of the algorithm, although at the cost of solution quality.
Comment: 4 pages
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2311.10915
رقم الأكسشن: edsarx.2311.10915
قاعدة البيانات: arXiv