Chip-based real-time gesture tracking for construction robot's guidance

Ying Hao Yu, Chun Hsien Yeh, Tsu Tian Lee, Pei Yin Chen, Yeu Horng Shiau

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

Mobile robots in automation construction have been designed for applications of craning, conveying, excavating, and floor polishing. These robots nowadays are equipped with various sensors to detect environmental information and finish tasks autonomously. When robot's navigating path needs to be rescheduled, the supervisor of robot can duly interrupt system and then redefines a new route for robot. In addition to robot remote control by radio signals, using digital camera to receive instructions from supervisor's gestures is also effective and can avoid the drawback of networked data routing. In this paper, we propose a gesture tracking system by simulating a traffic light baton to guide a differential drive robot in construction site. Here a real-time moving object detection first tracks supervisor's waves (gestures) with digital camera. Next the system determines guiding direction and steering angles based on fuzzy logic. All of our designs are implemented in single FPGA chip for operating under rigor environments. The experimental results demonstrate that proposed gesture tracking system is accurate and promising for chip-based gesture guidance on construction robots in the future.

原文English
主出版物標題31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Proceedings
編輯Quang Ha, Ali Akbarnezhad, Xuesong Shen
發行者University of Technology Sydney
頁面821-828
頁數8
ISBN(電子)9780646597119
出版狀態Published - 2014
事件31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Sydney, Australia
持續時間: 2014 七月 92014 七月 11

出版系列

名字31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Proceedings

Other

Other31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014
國家/地區Australia
城市Sydney
期間14-07-0914-07-11

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 硬體和架構
  • 土木與結構工程
  • 建築與營造

指紋

深入研究「Chip-based real-time gesture tracking for construction robot's guidance」主題。共同形成了獨特的指紋。

引用此