A Multi-level Planning and Navigation System for a Mobile Robot: A First Approach to HILARE

By G. Giralt, R. Sobek, R. Chatila. 1979

How researchers see this paper

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The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation (2018, background): “Robot visual navigation has a long history [15], [16], [17], [18], [19].”
Mobile Robot Localisation and Mapping in Extensive Outdoor Environments (2002, background): “These were either active beacons such as infrared [57] or ultrasonic [80] tranducers, or passive beacons such as retro-reflective markers [20] or radar trihedrals [49], and they enabled mobile robots to localise relative to the known beacon locations.”
Visual Navigation for Mobile Robots: A Survey (2008, background): “From the first robot developments in 1979 by Giralt [44], many control systems have incorporated, in a lesser or greater extent, some information about the environment where the robot had to navigate.”
Vision for Mobile Robot Navigation: A Survey (2002, methodology): “From the pioneering robotic vehicle work by Giralt et al. in 1979, [44], and later by Moravec in 1980 and 1983, [107], [108] and Nilsson in 1984, [114], it became clear that, implicitly or explicitly, it was imperative for a vision system meant for navigation to incorporate within it some knowledge…”