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황호연(Hoyeon Hwang),전정민(Jeongmin Jeon),정홍렬(Hong-ryul Jung),김수종(Sujoing Kim),문형필(Hyungpil Moon) 대한기계학회 2019 대한기계학회 춘추학술대회 Vol.2019 No.11
Task planning and motion planning are needed to handle the task the robot wants. The task planning is represented by a graph structure map of vertices and edges. At the vertex, the robot manipulator information, position, and object’s position were shown, and the edge represented the behavior of the robot, which was represented by a graph structure. With information about objects in the graph structure, geometric constraints can be considered in task planning. The heuristic can be used in the graph search algorithm to find the optimal path for task planning. Motion planning and v-rep simulator allow you to see the results of task planning.
모바일 조작 작업을 위한 역접근성 기반의 효율적인 베이스 재배치 방법
정홍렬(Hong-ryul Jung),전정민(Jeongmin Jeon),프란시스코 윰블라(Francisco Yumbla),문형필(Hyungpil Moon) 한국로봇학회(논문지) 2021 로봇학회 논문지 Vol.16 No.4
This paper proposes a new method to generate inverse reachability maps that are more efficient for mobile manipulators than the previous algorithms. The base positioning is important to perform the given tasks. Using the inverse reachability method, we can know where to place the robot"s base for given tasks. For example, the robot successfully performed the task with relocation, even when the target is initially in a low manipulability area or outside the workspace. However, there are some inefficiencies in the online process of the classical inverse reachability method. We describe what inefficiencies appear in the online phase and how to change the offline process to make the online efficient. Moreover, we demonstrate that the proposed approach achieves better performance than usual inverse reachability approaches for mobile manipulation. Finally, we discuss the limitations and advantages of the proposed method.