A Hybrid Approach to Intricate Motion, Manipulation and Task Planning 论文

2009The International Journal of Robotics Research引用 257
Robotic Path Planning AlgorithmsAI-based Problem Solving and PlanningRobot Manipulation and Learning

详细信息

发表期刊/会议
The International Journal of Robotics Research
发表日期
2009-01-01
发表年份
2009

关键词

Robotic Path Planning AlgorithmsAI-based Problem Solving and PlanningRobot Manipulation and Learning

摘要

We propose a representation and a planning algorithm able to deal with problems integrating task planning as well as motion and manipulation planning knowledge involving several robots and objects. Robot plans often include actions where the robot has to place itself in some position in order to perform some other action or to “modify” the configuration of its environment by displacing objects. Our approach aims at establishing a bridge between task planning and manipulation planning that allows a rigorous treatment of geometric preconditions and effects of robot actions in realistic environments. We show how links can be established between a symbolic description and its geometric counterpart and how they can be used in an integrated planning process that is able to deal with intricate symbolic and geometric constraints. Finally, we describe the main features of an implemented planner and discuss several examples of its use.