Task and Motion Planning

Task and Motion Planning (TAMP) is a crucial research area in robotics, aimed at enabling robots to efficiently accomplish complex tasks through algorithm design. It involves multiple aspects such as task decomposition, path planning, and action execution, ensuring that robots can make autonomous decisions in dynamic environments to achieve the optimal transition from an initial state to a goal state. The application value of this technology lies in enhancing the intelligence and adaptability of robots, with widespread use in industrial automation, service robotics, and intelligent logistics.