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A Survey on Task and Motion Planning
PhD Qualifying Examination Title: "A Survey on Task and Motion Planning" by Mr. Hao ZHANG Abstract: TAMP (Task And Motion Planning) is the key step towards fully autonomous robots. The AI community have produced loads of work on symbolic representation of the events in the world and corresponding planning algorithms to solve discretely represented tasks, enables intelligent behavior on complex tasks. The robotics community presents solutions to represent the world geometrically and algorithms to search for trajectories that controls physical robot, so that the robot can safely execute motions. A natural focus of task and motion planning is the interaction between discrete and continuous world. A taxonomy of TAMP methods is provided in this survey. As useful as this taxonomy goes, the current assumptions leave a gap between what works in theory and what works in reality. A set of research questions are then raised to take a closer look at these assumptions and try to relax each of them, so the robot can gain the ability to deal with uncertainty from perception and execution, plan online while taking execution into account, and form the right abstraction that best represents the world for the task at hand. Last but not the least, real world application almost always prefer optimization over satisfiability. Plan against a cost function instead of a specified goal state largely expands the type of work robot can do. Optimize over time makes a key different between whether a job is better assigned to robot or human. The question of how to achieve a real-world goal within given time can be looked at from two angles, where one can speed up the computation or motion execution itself, or looking at the temporal aspect of both planning and acting, thinking parallel instead of sequential, and then come up with the best overall result. Date: Tuesday, 7 June 2022 Time: 11:00am - 1:00pm Zoom Meeting: https://hkust.zoom.us/j/91482068142?pwd=ajZZTFNlUzlzanRGaHdOa2FTaGxJdz09 Committee Members: Prof. Qiang Yang (Supervisor) Prof. Lei Chen (Supervisor) Prof. Fangzhen Lin (Chairperson) Dr. Ming Liu **** ALL are Welcome ****