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A Reusable Robotic Grasping Creator

机译:一个可重复使用的机器人抓取器

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To make robotic grasping accessible to all roboticists, Energid Technologies is developing a Graphical User Interface (GUI) tool and algorithms embodied in a reusable software toolkit to quickly and easily create grasps. The method is generic and works with all types of robotic hands, manipulators, and mobile platforms. Vision, position control, force control, and collision avoidance algorithms are integrated naturally into the process, and successful grasp parameters are stored in a database for later real-time application. This article describes how the grasps are created in the Energid system using convenient human interfaces, novel ways to constrain the robotic hand, and real-time simulation of the grasping process. Special emphasis is given to the integration of force control with the grasp scripting process. The force control system accommodates a variety of established algorithms and allows new user-defined algorithms, which can apply to many types of force/torque sensors. Special emphasis is also given to vision-based tracking, with the vision system providing object identification and automatic selection of an appropriate grasp from the database. The vision system also provides 3D tracking to guide the grasp process. Simulation and hardware study results are presented based on the Schunk SDH hand and LWA arm.
机译:为了使所有机械手都可以掌握机械手,Energid Technologies正在开发图形用户界面(GUI)工具和可重复使用的软件工具包中包含的算法,以快速轻松地创建机械手。该方法是通用的,可与所有类型的机械手,操纵器和移动平台一起使用。视觉,位置控制,力控制和避免碰撞算法自然地集成到了过程中,成功的抓取参数存储在数据库中,供以后实时应用。本文介绍了如何使用便捷的人机界面在Energid系统中创建抓握,约束机械手的新颖方法以及抓握过程的实时模拟。特别强调将力控制与抓取脚本过程集成在一起。力控制系统可容纳多种已建立的算法,并允许新的用户定义算法,这些算法可应用于多种类型的力/扭矩传感器。还特别强调了基于视觉的跟踪,视觉系统提供了对象识别和从数据库中自动选择合适的抓取功能。视觉系统还提供3D跟踪以指导抓取过程。给出了基于Schunk SDH手和LWA手臂的仿真和硬件研究结果。

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