RatSLAM and Grid Cells An overview of work by Michael Milford and colleagues 1 People David Prasser Janet Wiles Michael Milford Gordon Wyeth 2 Papers • Milford, Michael J., Gordon F. Wyeth, and David Prasser. "RatSLAM: a hippocampal model for simultaneous localization and mapping." Robotics and Automation, 2004. Proceedings. ICRA'04. 2004 IEEE International Conference on. Vol. 1. IEEE, 2004. ! • Milford, Michael, and Gordon Wyeth. "Persistent navigation and mapping using a biologically inspired SLAM system." The International Journal of Robotics Research 29.9 (2010): 1131-1153. ! • Milford, Michael J., Janet Wiles, and Gordon F. Wyeth. "Solving navigational uncertainty using grid cells on robots." PLoS computational biology 6.11 (2010): e1000995. 3 RatSLAM • Biologically inspired and wired for largescale, long-term autonomy 4 RatSLAM • Biologically inspired and wired for largescale, long-term autonomy 5 RatSLAM • Biologically inspired and wired for largescale, long-term autonomy 6 RatSLAM • Biologically inspired and wired for largescale, long-term autonomy 7 RatSLAM • Biologically inspired and wired for largescale, long-term autonomy 8 RatSLAM • Biologically inspired and wired for largescale, long-term autonomy 9 Process 10 Pose Cells and View Cells 11 Network Iteration Global pose update: Visual weights: Visual pose update: 12 Re-use of cells 13 Relationship to Rodent Memory 14 Place Cells & Head Cells O'Keefe, John. "Place units in the hippocampus of the freely moving rat." Experimental neurology 51.1 (1976): 78-109. Taube, Jeffrey S., Robert U. Muller, and James B. Ranck. "Head-direction cells recorded from the postsubiculum in freely moving rats. I. Description and quantitative analysis." The Journal of Neuroscience 10.2 (1990): 420-435. 15 Grid Cells May-Britt & Edvard Moser Hafting, Torkel, et al. "Microstructure of a spatial map in the entorhinal cortex." Nature 436.7052 (2005): 801-806. 16 Place Cells vs. Grid Cells Place Cell Grid Cell 17 Entorhinal Cortex 18 Firing Patterns in RatSLAM cells 19 “Grids are anchored to external cues” Moser Milford 20 “Grids persist after cue removal” Moser Milford 21 Disambiguation Experiments 22 Disambiguation Experiments 23 The Need for Conjunctive Cells Place/Head Cells Grid Cells 24 RatSLAM for Long-Term Autonomy & Goal-Based Navigation 25 Process 26 The Experience Map 27 Building Experiences Experience: Similarity score: Transition link: New experience: Map relaxation:* * Duckett, Tom, Stephen Marsland, and Jonathan Shapiro. "Fast, on-line learning of globally consistent maps." 28 Autonomous Robots 12.3 (2002): 287-300. Pruning the Experience Map 29 Experience Map Results 30 Experience Map Results 31 Architecture 32 Place Recognition 33 Global Navigation 34 Local Navigation 35 Long-Term Stability 36 Long-Term Stability 37 Long-Term Stability 38 Weaknesses • “The weakness is that the system deals rather inefficiently with cyclic changes such as day–night time cycles.” • “We would not expect the experience map maintenance and navigation procedures to handle major changes to the topology or geometry of the environment; this capability would require additional maintenance methods” 39
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