Designing intelligent mobile-manipulation robots
김범준 교수 (KAIST AI 대학원)
조회수 264 좋아요 1

How can we enable robots to efficiently reason both at discrete task-level and continuous motion-level to achieve high-level goals such as tidying up a room or constructing a building? This is a challenging problem that requires integrated reasoning about the combinatoric aspects, such as deciding which object to manipulate, and feasibility of each motion, such as collision-free constraints, to achieve goals. The classical robotics approach is to design a planner, that, given an initial state, goal, and transition model, computes a plan. The advantage of such a pure-planning approach is the immense generalization capability: for any given state and goal, the planner will find the solution if there is one...

  • 웨비나
  • 웹세미나
  • 기계로봇
  • AI
  • Motion planning
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