Dual-arm construction robot with remote-control function

Hiroshi Yoshinada, Keita Kurashiki, Daisuke Kondo, Keiji Nagatani, Seiga Kiribayashi, Masataka Fuchida, Masayuki Tanaka, Atsushi Yamashita, Hajime Asama, Takashi Shibata, Masatoshi Okutomi, Yoko Sasaki, Yasuyoshi Yokokohji, Masashi Konyo, Hikaru Nagano, Fumio Kanehiro, Tomomichi Sugihara, Genya Ishigami, Shingo Ozaki, Koich SuzumoriToru Ide, Akina Yamamoto, Kiyohiro Hioki, Takeo Oomichi, Satoshi Ashizawa, Kenjiro Tadakuma, Toshi Takamori, Tetsuya Kimura, Robin R. Murphy, Satoshi Tadokoro

研究成果: Chapter

3 被引用数 (Scopus)

抄録

In disaster areas, operating heavy construction equipment remotely and autonomously is necessary, but conventional remote-controlled heavy equipment has problems such as insufficient operability, limited mobility on slopes and stairs, and low work efficiency because of difficult remote control. As part of the ImPACT-TRC Program, a group of Japanese researchers attempts to solve these problems by developing a construction robot for disaster relief tasks with a new mechanism and new control methods. This chapter presents the overview of construction robot and the details of main elemental technologies making up the robot. Section 5.1 describes the basic configuration of the robot and the teleoperation system. Section 5.2 is a tether powered drone which provides extra visual information. Sections 5.4 and 5.3 are force and tactile feedback for skillful teleoperation. Section 5.5 is visual information feedback which consists of an arbitrary viewpoint visualization system and a visible and LWIR camera system to observe surrounding of the robot in a dark night scene and/or a very foggy scene. These functions can dramatically increase construction equipment’s capacity to deal with large-scale disasters and accidents.

本文言語English
ホスト出版物のタイトルSpringer Tracts in Advanced Robotics
出版社Springer Verlag
ページ195-264
ページ数70
DOI
出版ステータスPublished - 2019

出版物シリーズ

名前Springer Tracts in Advanced Robotics
128
ISSN(印刷版)1610-7438
ISSN(電子版)1610-742X

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Artificial Intelligence

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