Persistent Navigation and Mapping using a Biologically Inspired SLAM System

  title={Persistent Navigation and Mapping using a Biologically Inspired SLAM System},
  author={Michael Milford and Gordon Wyeth},
  journal={The International Journal of Robotics Research},
  pages={1131 - 1153}
The challenge of persistent navigation and mapping is to develop an autonomous robot system that can simultaneously localize, map and navigate over the lifetime of the robot with little or no human intervention. Most solutions to the simultaneous localization and mapping (SLAM) problem aim to produce highly accurate maps of areas that are assumed to be static. In contrast, solutions for persistent navigation and mapping must produce reliable goal-directed navigation outcomes in an environment… 
Hybrid robot control and SLAM for persistent navigation and mapping
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  • R. LuoW. Shih
  • Computer Science
    2018 IEEE 27th International Symposium on Industrial Electronics (ISIE)
  • 2018
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  • Feras DayoubT. Duckett
  • Computer Science
    2008 IEEE/RSJ International Conference on Intelligent Robots and Systems
  • 2008
This paper presents a method for creating an adaptive map for long-term appearance-based localization of a mobile robot using long- term and short-term memory concepts, with omni-directional vision as the external sensor.
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