Adaptive and intelligent navigation of autonomous planetary rovers – a survey

Wong, Cuebong and Yang, Erfu and Yan, Xiu-Tian and Gu, Dongbing (2017) Adaptive and intelligent navigation of autonomous planetary rovers – a survey. In: The 11th NASA/ESA Conference on Adaptive Hardware and Systems, 2017-07-24 - 2017-07-27, the California Institute of Technology.

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    Abstract

    The application of robotics and autonomous systems in space has increased dramatically. The ongoing Mars rover mission involving the Curiosity rover, along with the success of its predecessors, is a key milestone that showcases the existing capabilities of robotic technology. Nevertheless, there has still been a heavy reliance on human tele-operators to drive these systems. Reducing the reliance on human experts for navigational tasks on Mars remains a major challenge due to the harsh and complex nature of the Martian terrains. The development of a truly autonomous rover system with the capability to be effectively navigated in such environments requires intelligent and adaptive methods fitting for a system with limited resources. This paper surveys a representative selection of work applicable to autonomous planetary rover navigation, discussing some ongoing challenges and promising future research directions from the perspectives of the authors.

    Creators(s): Wong, Cuebong ORCID logoORCID: https://orcid.org/0000-0002-6541-6125, Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950, Yan, Xiu-Tian ORCID logoORCID: https://orcid.org/0000-0002-3798-7414 and Gu, Dongbing;
    Item type:Conference or Workshop Item(Paper)
    ID code:61169
    Keywords:planetary rovers, space robotics, machine intelligence, navigation algorithms, autonomous systems, Engineering design, Motor vehicles. Aeronautics. Astronautics, Astronomy and Astrophysics
    Subjects:Technology > Engineering (General). Civil engineering (General) > Engineering design
    Technology > Motor vehicles. Aeronautics. Astronautics
    Department:Faculty of Engineering > Design, Manufacture and Engineering Management
    Depositing user: Pure Administrator
    Date deposited:29 Jun 2017 11:06
    Last modified:01 Jan 2021 07:47
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/61169
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