四足歩行ロボットによる月面探査のための多目的グローバル経路計画
Multi-Objective Global Path Planning for Lunar Exploration With a Quadruped Robot
A*アルゴリズムを基に、エネルギー効率や失敗リスク、科学的成果など複数の目的を重み付けで考慮し、月面探査に最適な経路を計画する手法を提案。
著者: Julia Richter, Hendrik Kolvenbach, Giorgio Valsecchi, Marco Hutter
分類: cs.RO
原文アブストラクト
In unstructured environments the best path is not always the shortest, but needs to consider various objectives like energy efficiency, risk of failure or scientific outcome. This paper proposes a global planner, based on the A* algorithm, capable of individually considering multiple layers of map data for different cost objectives. We introduce weights between the objectives, which can be adapted to achieve a variety of optimal paths. In order to find the best of these paths, a tool for statistical path analysis is presented. Our planner was tested on exemplary lunar topographies to propose two trajectories for exploring the Aristarchus Plateau. The optimized paths significantly reduce the risk of failure while yielding more scientific value compared to a manually planned paths in the same area. The planner and analysis tool are made open-source in order to simplify mission planning for planetary scientists.
