Adaptive and intelligent navigation of autonomous planetary rovers - A survey

نویسندگان

  • Cuebong Wong
  • Erfu Yang
  • Xiu-Tian Yan
  • Dongbing Gu
چکیده

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. Keywords—planetary rovers, space robotics, machine intelligence, navigation algorithms, autonomous systems

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تاریخ انتشار 2017