Autonomous detection of untraversability of the path on rough terrain for the remote controlled mobile robots

被引:0
|
作者
Hashimoto, Kazuma
Yuta, Shin'ichi
机构
关键词
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
The mobile robot which traverses on a rough terrain, should have an ability to recognize the shape of the ground surface and to examine the traversability by itself Even if the robot is remotely controlled by operator, such an ability is still very important to save the operator's load and to keep safety. For this purpose, the robot measures the front ground, and generate the local elevation map which represents the area where the robot is going to pass, and examines that the wheels can pass through and the bottom surface of robot body dose not contact with ground. This paper reports a simple method of traversability test for the wheeled mobile robot and show an experimental system with some results.
引用
收藏
页码:113 / +
页数:2
相关论文
共 50 条
  • [41] Hazard avoidance for high-speed mobile robots in rough terrain
    Spenko, Matthew
    Kuroda, Yoji
    Dubowsky, Steven
    Iagnemma, Karl
    JOURNAL OF FIELD ROBOTICS, 2006, 23 (05) : 311 - 331
  • [42] Learning Long-range Terrain Perception for Autonomous Mobile Robots
    Wang, Mingjun
    Zhou, Jun
    Tu, Jun
    Liu, Chengliang
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2010, 7 (01): : 55 - 66
  • [43] Road detection and tracking for autonomous mobile robots
    Hong, TH
    Rasmussen, C
    Chang, T
    Shneier, M
    UNMANNED GROUND VEHICLE TECHNOLOGY IV, 2002, 4715 : 311 - 319
  • [44] Reference Path Correction for Autonomous Ground Vehicles Driving Over Rough Terrain
    Wang, Shaobo
    Zhao, Pan
    Zheng, Yanghao
    Yu, Biao
    Huang, Weixin
    Zhu, Hui
    Liang, Huawei
    2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19), 2019, : 2405 - 2410
  • [46] Path Following for Autonomous Mobile Robots with Deep Reinforcement Learning
    Cao, Yu
    Ni, Kan
    Kawaguchi, Takahiro
    Hashimoto, Seiji
    SENSORS, 2024, 24 (02)
  • [47] Path planning for autonomous mobile robots with mobility and threat information
    Lee, Heebeom
    Kim, H. Jin
    2016 16TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2016, : 278 - 281
  • [48] A Hybrid Approach for Path Planning and Execution for Autonomous Mobile Robots
    Santos, Valeria de Carvalho
    Motta Toledo, Claudio Fabiano
    Osorio, Fernando Santos
    2014 2ND BRAZILIAN ROBOTICS SYMPOSIUM (SBR) / 11TH LATIN AMERICAN ROBOTICS SYMPOSIUM (LARS) / 6TH ROBOCONTROL WORKSHOP ON APPLIED ROBOTICS AND AUTOMATION, 2014, : 124 - 129
  • [49] Path planning and obstacle avoidance for autonomous mobile robots: A review
    Kunchev, Voemir
    Jain, Lakhmi
    Ivancevic, Vladimir
    Finn, Anthony
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2006, 4252 : 537 - 544
  • [50] An Integrated Approach for Path Planning and Control for Autonomous Mobile Robots
    Aravindan, Arathv
    Zaheer, Shyba
    Gulrez, Tauseef
    2016 INTERNATIONAL CONFERENCE ON NEXT GENERATION INTELLIGENT SYSTEMS (ICNGIS), 2016, : 210 - 215