Research/ PLANETARY ROBOTICS
Mission-Level Path Planning for Lunar Rover
Jia Yang
Motion Planning & NavigationOpenAlex topic: Robotic Path Planning Algorithms · Learning-based MethodsOpenAlex topic: Reinforcement Learning in Robotics · Autonomy, Task Planning & OperationsOpenAlex topic: AI-based Problem Solving and Planning
Rover is a high-efficiency and low-cost tool for moon exploration,and path planning is a key technology for a rover. Usually,path planning is one of the functions of the navigation system,in which terrain is a primary factor to be considered. In fact,besides terrain,some other factors are also very important for choosing a path. This paper deals with a kind of the path selection for lunar rover in wide area by combination of multi-factors e.g. terrain,energy,temperature,communication and shadow. And a new algorithm called RG(Real-time Greedy) is given for getting the mission-level path,which provides the guide points for the rover navigation and supports the rover action planning.