Generating New Lower Abstract Task Operator using Grid-TLI
Shumpei Tokuda,Mizuho Katayama,Masaki Yamakita,Hiroyuki Oyama,Shumpei Tokuda,Mizuho Katayama,Masaki Yamakita,Hiroyuki Oyama
We propose a method of subdividing robot tasks into new lower abstract tasks. The description of robot tasks in an abstract manner is effective for motion planning for complex tasks and teaching robot movements in various environments. However, a more efficient task description may be obtained by using a lower abstraction according to the work environment. We argue that a higher abstract task can ...
