Position referencing and consistent world modeling for mobile robots

By R. Chatila, Jean-Paul Laumond. 1985

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Citations in the corpus

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].”
Visual Place Recognition: A Survey (2016, background): “Visionbased systems utilize all these methods: MonoSLAM [7] uses an EKF, Rao-Blackwellized particle filters are used in [12], [172], and [173], and pose graph optimization techniques are used in [2] and [174].”
Navigation Strategies for Exploring Indoor Environments (2002, methodology): “Automatic model building is a fundamental task in mobile robotics (Burgard et al. 2000; Chatila 1985; Chatila and Laumond 1985; Thrun 2001).”
Visual Navigation for Mobile Robots: A Survey (2008, background): “In [16], range finders and cameras work in collaboration to create occupancy grids.”
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning (2025, unknown): “As early as the work of Sutton and Barto (1981) and Chatila and Laumond (1985), AI researchers have sought to build agents that use internal models of the world — modeling both dynamics of the world, as well as mapping the static environment — to enable efficient planning and control.”
Factor Graphs for Robot Perception (2017, background): “A number of authors consider the problem of smoothing the robot trajectory only [27, 141, 142, 94, 122, 61], which is particularly suited to sensors such as laser-range finders that easily yield pairwise constraints between nearby robot poses.”
Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving (2017, unknown): “in [274] where semantic (object) maps are used for high-level decision-”
Visual SLAM algorithms: a survey from 2010 to 2016 (2017, methodology): “Since ORB-SLAM is an open source project([1]), we can easily use this whole vSLAM system in our local environment.”
The Spatial Semantic Hierarchy (2000, background): “7) raises the difficult problem of matching the current position to the original frame of reference [7,8].”
Simultaneous localization and mapping: part I (2006, methodology): “At the same time Ayache and Faugeras [1] were undertaking early work in visual navigation, Crowley [9] and Chatila and Laumond [6] were working in sonar-based navigation of mobile robots using Kalman filter-type algorithms.”
Kimera: From SLAM to spatial perception with 3D dynamic scene graphs (2021, background): “Early work on map representation in robotics, e.g., (Kuipers 2000, 1978; Chatila and Laumond 1985; Vasudevan et al. 2006; Galindo et al. 2005; Zender et al. 2008), investigated hierarchical representations but mostly in 2D and assuming static environments; moreover, these works were proposed before ”
Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing (2006, background): “…attention in mobile robotics as it is one way to enable a robot to explore and navi- The International Journal of Robotics Research Vol. 25, No. 12, December 2006, pp. 1181-1203 DOI: 10.1177/0278364906072768 ©2006 SAGE Publications Figures appear in color online:…”
Vision for Mobile Robot Navigation: A Survey (2002, methodology): “Also, sensor-fusion-based approaches [20] have been proposed in which readings from cameras and range finders are combined to produce occupancybased models of the environment, etc.”
A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping (2020, methodology): “This technique was first developed in 1985 to achieve autonomous control of robots [5].”
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans (2020, background): “, [16, 28, 49, 50, 100, 110]) investigates hierarchical representations but mostly in 2D and assuming static environments; moreover, these works were proposed before the “deep learning revolution”, hence they could not afford advanced semantic understanding.”
Visual simultaneous localization and mapping: a survey (2012, background): “During the period of 1985–1990, Chatila and Laumond (1985) and Smith et al. (1990) proposed carrying out mapping and localization in a concurrent manner.”
The evolution of robotics research (2007, background): “In contrast, the metric maps of geometric elements retain positions and properties of objects with specific geometric features [33].”