Biomimetic robot navigation
By Matthias O. Franz, H. Mallot. Robotics Auton. Syst., 2000
354 citations recorded by the source corpus.
Subfields: Cell Biology, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics
View Paper: https://www.semanticscholar.org/paper/f212d847943915df3c16efecc4611b2dab2b45cb
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Citations in the corpus
- Memory use in insect visual navigation (2002, background): “This view of learnt routes emphasizes that the primary role of a landmark is to serve as a signpost that tells an insect what to do next, rather than as a positional marker that gives the insect its current location within a large-scale coordinate syste”
- A bearing-only 2D/3D-homing method under a visual servoing framework (2010, neutral): “It is considered to be one of the basic abilities of a mobile robot, and also one of the most important components of visual navigation in the navigation hierarchy presented by Franz and Mallot [10] especially in topological map based scenarios.”
- Implementation of wide-field integration of optic flow for autonomous quadrotor navigation (2009, background): “Srinivasan (Srinivasan et al. 1999; Srinivasan and Zhang 2004) has spawned several approaches for local navigation ( Franz and Mallot 2000; Santos-Victor and Sandini 1997; Coombs et al. 1998; Netter and Franceschini 2002; Muratet et al. 2005; Serres et al. 2008; Hrabar and Sukhatme 2004), speed con”
- Visual Homing From Scale With an Uncalibrated Omnidirectional Camera (2013, neutral): “It is considered to be one of the basic abilities of a mobile robot, as well as one of the most important components of visual topological navigation [3], [4].”
- The architecture of the desert ant's navigational toolkit (Hymenoptera: Formicidae) (2009, methodology): “Although network models have been designed that are based on associations between local views and local movements (SCHÖLKOPF & MALLOT 1995, FRANZ & MALLOT 2000), the important point to be emphasized here is that all these view-based mechanisms of landmark guidance do not, eo ipso, provide the…”
- A Behavioral Approach to Visual Navigation with Graph Localization Networks (2019, background): “Motivated by these ideas from psychology research and the success of neural networks at solving a variety of tasks [26], this work revisits early ideas of topological robot navigation [46] and behavioral control [6, 16, 20].”