3D measurement sensor system for rough terrain mobile robots

被引:2
|
作者
Yokota, Sho [1 ]
Ohyama, Yasuhiro [1 ]
Hashimoto, Hiroshl [1 ]
She, Jin-Hua [1 ]
Kawabata, Kuniaki [2 ]
Kobayashi, Hisato [3 ]
Blazevic, Pierre [4 ]
机构
[1] Tokyo Univ Technol, Hachiiohji, Japan
[2] RIKEN, Wako, Saitama, Japan
[3] Hosei Univ, Tokyo, Japan
[4] Inst Sci & Tech Yvelines, Mantes La Ville, France
关键词
sensors; motion; robotics;
D O I
10.1108/02602280710758174
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Purpose - The purpose of this paper is to propose a sensor system and its measuring strategy. The proposed system is regarded as a total system of a robot and a sensor. It can make full use of a robot's degrees of freedom (DOF) for not only locomotion but also sensing. Design/methodology/approach - The sensor system is composed of a connected crawler robot and a simple sensor unit. The connected crawler robot consists of five connected flat crawler stages; each stage has motor-driven crawlers on its left and right side. The left and right crawlers are driven by motors independently. The five stages are connected by motor-driven joints, which can be arbitrarily controlled. The sensor unit is made up of a position sensitive detector and two active joints. Generally, all sensors have a measurable range limit. If the object is bigger than the measurable range, it is impossible to recognize the object's shape. However, this sensor system compensates for this problem due to a combination of sensor unit's motion and robot's motion. The robot's DOF are ordinarily used for going forward. In this moving, if the sensor detects a bigger object than its measurable range, the robot's DOF are used for lifting up sensor unit. Therefore, the robot's DOF are exploited for both locomotion and scanning. Findings - The experiment was done by using proposed measurement strategies. Through this experiment, the maximum distance error was 0.037 m, that fulfils the required sensor's accuracy. This experiment confirmed that the measurable range was expanded by making full use of the robot's DOF and sensor's DOF The robot's DOF which is ordinarily used for moving is applicable to expand measurable range. Therefore, it was possible to expand measurable range by making full use of the robot's DOF without mounting extra equipments or mechanism on the robot. Hence, it was enable to exert enough sensing function even if the sensor's structures and robot's structure are also simple, by using both the robot and the sensor's functions effectively and simultaneously. Originality/value - General existing mobile robot systems have both mobile function and sensing function, they are completely separate. However, this sensor system is regarded as a total system of robot and sensor. It can make full use of a robot's DOF for not only locomotion but also sensing. This sensor system makes full use of a robot's DOR Hence, it is enable to exert enough sensing function even if the sensor's structure and robot's structure are also simple. There is originality on this point.
引用
收藏
页码:224 / 232
页数:9
相关论文
共 50 条
  • [1] 3D traversability awareness for rough terrain mobile robots
    Bellone, Mauro
    Reina, Giulio
    Giannoccaro, Nicola Ivan
    Spedicato, Luigi
    [J]. SENSOR REVIEW, 2014, 34 (02) : 220 - 232
  • [2] 3D traversability awareness for rough terrain mobile robots (vol 34, pg 220, 2014)
    Bellone, M.
    [J]. SENSOR REVIEW, 2014, 34 (03) : 335 - 335
  • [3] Path Planning for Mobile Robots on Rough Terrain
    Santos, Alexandre S.
    Azpurua, Hector I.
    Pessin, Gustavo
    Freitas, Gustavo M.
    [J]. 15TH LATIN AMERICAN ROBOTICS SYMPOSIUM 6TH BRAZILIAN ROBOTICS SYMPOSIUM 9TH WORKSHOP ON ROBOTICS IN EDUCATION (LARS/SBR/WRE 2018), 2018, : 265 - 270
  • [4] Robust control of mobile robots on rough terrain
    Kurashiki, Keita
    Fukao, Takanori
    Osuka, Koichi
    Ishiyama, Kenji
    Takehara, Yorihide
    Imai, Hirohisa
    [J]. Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, 2008, 74 (11): : 2705 - 2712
  • [5] Collaborative Measurement System of Dual Mobile Robots That Integrates Visual Tracking and 3D Measurement
    Qi, Lizhe
    Gan, Zhongxue
    Ren, Jiankun
    Wu, Fuwang
    Su, Hao
    Mei, Zhen
    Sun, Yunquan
    [J]. MACHINES, 2022, 10 (07)
  • [6] 3D Scan matching for mobile robot localization over rough terrain
    Nakagomi, Hiroyuki
    Fuse, Yoshihiro
    Hosaka, Hidehiko
    Miyamoto, Ilironaga
    Nakamura, Takashi
    Yoneyama, Akira
    Yokotsuka, Masashi
    Kamimura, Akiya
    Watanabe, Hiromi
    Tanzawa, Tsutomu
    Kotani, Shinji
    [J]. ELECTRICAL ENGINEERING IN JAPAN, 2019, 209 (3-4) : 14 - 25
  • [7] A new 3D sensor system for mobile robots based on moire and stereo vision technique
    Lee, Hyunki
    Cho, Hyungsuck
    Kim, Minyoung
    [J]. 2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12, 2006, : 1384 - 1389
  • [8] Multi-Camera Sensor System for 3D Segmentation and Localization of Multiple Mobile Robots
    Losada, Cristina
    Mazo, Manuel
    Palazuelos, Sira
    Pizarro, Daniel
    Marron, Marta
    [J]. SENSORS, 2010, 10 (04) : 3261 - 3279
  • [9] Energy Efficient Coverage Path Planning for Autonomous Mobile Robots on 3D Terrain
    Dogru, Sedat
    Marques, Lino
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC), 2015, : 118 - 123
  • [10] 3D laser measurement system for large scale architectures using multiple mobile robots
    Kurazume, Ryo
    Tobata, Yukihiro
    Iwashita, Yumi
    Hasegawa, Tsutomu
    [J]. 3DIM 2007: SIXTH INTERNATIONAL CONFERENCE ON 3-D DIGITAL IMAGING AND MODELING, PROCEEDINGS, 2007, : 91 - +