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. (https://doi.org/10.1109/AHS.2017.8046384)
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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.
ORCID iDs
Wong, Cuebong ORCID: https://orcid.org/0000-0002-6541-6125, Yang, Erfu ORCID: https://orcid.org/0000-0003-1813-5950, Yan, Xiu-Tian ORCID: https://orcid.org/0000-0002-3798-7414 and Gu, Dongbing;-
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Item type: Conference or Workshop Item(Paper) ID code: 61169 Dates: DateEvent21 September 2017Published23 May 2017AcceptedSubjects: Technology > Engineering (General). Civil engineering (General) > Engineering design
Technology > Motor vehicles. Aeronautics. AstronauticsDepartment: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 29 Jun 2017 11:06 Last modified: 11 Nov 2024 16:51 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/61169