A Comparison of Two Path Planners for Planetary Rovers
The paper presents two path planners suitable for planetary rovers. The first is based on fuzzy description of the terrain, and genetic algorithm to find a traversable path in a rugged terrain.
Engineering topics
Publications and source records attributed to Shiller, Z..
The paper presents two path planners suitable for planetary rovers. The first is based on fuzzy description of the terrain, and genetic algorithm to find a traversable path in a rugged terrain.
The paper presents two path planners suitable for planetary rovers. The first is based on fuzzy description of the terrain, and genetic algorithm to find a traversable path in a rugged terrain. The second planner uses a global optimization method with a cost function that is the path distance divided by the velocity limit obtained from the consideration of the rover static and dynamic stability. A description of both methods is provided, and the results of paths produced are given which show the effectiveness of the path planners in finding near optimal paths. The features of the methods and their suitability and application for rover path planning are compared
A method is presented for planning the motion of a robot in a dynamic environment by computing a trajectory that avoids all obstacles and that satisfies the robot dynamics and its actuator constraints. This method consists of two steps -- the computation of the trajectory and its refinement with a dynamic optimization.
An on-line method is presented for computing the motion of a robot in a dynamic environment subject to the robot dynamics and its actuator constraints. This method is based on the concept of Velocity Obstacle that defines the set of robot velocities that would result in a collision between the robot and a moving obstacle. The problem of motion planning in dynamic environments is addressed.
This paper presents heuristic methods for motion planning in dynamic environments, based on the concept of Velocity Obstacle (VO).