运动规划
计算机科学
基线(sea)
路径(计算)
运动学
控制器(灌溉)
集合(抽象数据类型)
数据库
分布式计算
机器人
人工智能
操作系统
海洋学
物理
经典力学
农学
程序设计语言
地质学
生物
作者
Kat Styles Wood,Thomas B. Scott,Antonia Tzemanaki
标识
DOI:10.1109/icra48891.2023.10160417
摘要
Redundant manipulators offer a continuum of joint configurations which satisfy a specific end-effector pose, an advantage when operating within confined spaces. This, how-ever, challenges a controller to select a single goal configuration from a wide range when path planning. This paper outlines the use of the MySQL database management system for systematic goal selection during redundant manipulator path planning in confined spaces. We outline a sampling method to envelope all configurations of a redundant manipulator and utilise it to generate a complete database of configurations. We demonstrate the application of this method to generate a large data-set of (1 billion) manipulator configurations for a KUKA LBR iiwa 14 equipped with a Robotiq 2F-85 gripper. With this database, the controller systematically selects goal configurations during 50 path planning scenarios within the confined space of a glovebox. We compare this to an iterative method using existing kinematic solvers to select goal configurations as a baseline. The database method achieves a 100% success rate in 42% of the scenarios attempted. In comparison, the baseline method achieves >50% success rate in just 6% of the scenarios attempted. Our proposed method also produces repeatable paths, which are similar in length and link swept area for each attempt of the same scenario, whereas the baseline method generates a different path in every attempt.
科研通智能强力驱动
Strongly Powered by AbleSci AI