HRP-2Kai人形机器人的任务级遥控操作

Rafael Cisneros, S. Kajita, T. Sakaguchi, Shin'ichiro Nakaoka, M. Morisawa, K. Kaneko, F. Kanehiro
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引用次数: 18

摘要

本文介绍了AIST-NEDO团队在DARPA机器人挑战赛中使用的策略,该策略通过HRP-2Kai人形机器人的任务级远程操作来处理指定的操作任务,考虑到灾难场景本身是非结构化的,并且用户和机器人之间的通信有限。该策略基于安装在头部和双手的激光测距仪和一组摄像头提供的信息,包括将代表所需操作目标的3D模型与测量点云对齐,以便提供一个参考框架来描述每个任务所需的操作运动。每个动作都是通过假设代表操作目标的物体的最小信息来提前精心规划的。为了举例说明上述方法,本文描述了DARPA机器人挑战赛的两个具有代表性的任务,以及在比赛中获得的相应结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Task-level teleoperated manipulation for the HRP-2Kai humanoid robot
This paper presents the strategy used by the team AIST-NEDO at the DARPA Robotics Challenge to deal with the designated manipulation tasks by means of a task-level teleoperation of the HRP-2Kai humanoid robot, considering a disaster-hit scenario that is inherently non-structured and a limited communication between the user and the robot. The strategy, based on the information provided by a laser rangefinder and a set of cameras installed at the head and at both hands, consisted in the alignment of 3D models representing the desired manipulation targets with a measured point cloud, in order to provide a reference frame to describe the manipulation motion required for each task. Each motion was carefully planned in advance by assuming minimum information of the object representing the manipulation target. In order to exemplify the before mentioned approach, two representative tasks of the DARPA Robotics Challenge are described, as well as the corresponding results obtained during the competition.
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