绘画
接口(物质)
虚拟现实
计算机科学
机器人
人机交互
规划师
任务(项目管理)
计算机图形学(图像)
虚拟机
用户界面
平面图(考古学)
人工智能
工程类
操作系统
系统工程
艺术
最大气泡压力法
视觉艺术
气泡
考古
历史
作者
Anurag Sai Vempati,Harshit Khurana,Vojtech Kabelka,Simon Flueckiger,Roland Siegwart,Paul Beardsley
出处
期刊:IEEE robotics and automation letters
日期:2019-06-12
卷期号:4 (3): 2870-2877
被引量:23
标识
DOI:10.1109/lra.2019.2922588
摘要
PaintCopter is an autonomous unmanned aerial vehicle (UAV) capable of spray painting on complex three-dimensional (3D) surfaces. This letter aims to make PaintCopter more user-friendly and to enable more intuitive human–robot interaction. We propose a virtual reality interface that allows the user to immerse in a virtual environment, navigate around the target surface, and paint at desired locations using a virtual spray gun. A realistic paint simulator provides a real-time previsualization of the painting activity that can either be processed right away or stored to a disk for later execution. An efficient optimization based planner uses this information to plan the painting task and execute it. The proposed planner maximizes the paint quality while respecting the spray nozzle constraints and platform dynamics. Our experiments show that the interface allows the user to make precise modifications to the target surface. Finally, we demonstrate the use of virtual reality interface to define a painting mission, and then the PaintCopter carrying out the mission to paint a desired multicolored pattern on a 3D surface.
科研通智能强力驱动
Strongly Powered by AbleSci AI