V.Ra: An In-Situ Visual Authoring System for Robot-IoT Task Planning with Augmented Reality

被引：12

作者：

Cao, Yuanzhi ^{[1
]}

Xu, Zhuangying ^{[1
]}

Li, Fan ^{[2
]}

Zhong, Wentao ^{[1
]}

Huo, Ke ^{[1
]}

Ramani, Karthik ^{[1
]}

机构：

[1] Purdue Univ, W Lafayette, IN 47907 USA

[2] Tsinghua Univ, Beijing, Peoples R China

来源：

CHI EA '19 EXTENDED ABSTRACTS: EXTENDED ABSTRACTS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS | 2019年

基金：

美国国家科学基金会;

关键词：

Robotic task authoring; Augmented-Reality; SLAM; Path planning; Internet-of-Robotic-thing;

D O I：

10.1145/3290607.3312797

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present V.Ra, a visual and spatial programming system for robot-IoT task authoring. In V.Ra, programmable mobile robots serve as binding agents to link the stationary IoTs and perform collaborative tasks. We establish an ecosystem that coherently connects the three key elements of robot task planning (human-robot-IoT) with one single AR-SLAM device. Users can perform task authoring in an analogous manner with the Augmented Reality (AR) interface. Then placing the device onto the mobile robot directly transfers the task plan in a what-you-do-is-what-robot-does (WYDWRD) manner. The mobile device mediates the interactions between the user, robot and IoT oriented tasks, and guides the path planning execution with the SLAM capability.

引用

页数：6

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