How to update the activity of pose cells in RatSLAM?
The excerpt note is from Michael et al., 2008, which explains the detail process to update the activity of pose cells in RatSLAM.
Milford, Michael J., and Gordon F. Wyeth. “Mapping a suburb with a single camera using a …
How to build robust, visual-inertial state estimation for autonomous navigation?
Robust, Visual-Inertial State Estimation: from Frame-based to Event-based Cameras
This lecture was presented by Professor Davide Scaramuzza at Affiliation University of Zurich, ETH Zurich in September 25, 2017 on Series Microsoft Research Talks.
Professor Davide Scaramuzza presented main algorithms to …
Why drones can learn to navigate autonomously by imitating cars and bicycles?
Drones learn to navigate autonomously by imitating cars and bicycles powered by AI
January 23, 2018, by University of Zurich
Developed by UZH researchers, the algorithm DroNet allows drones to fly completely by themselves through the streets of a city …
How to enable robot cognitive mapping inspired by Grid Cells, Head Direction Cells and Speed Cells？
Taiping Zeng, and Bailu Si. “Cognitive Mapping Based on Conjunctive Representations of Space and Movement.” Frontiers in Neurorobotics 11 (2017).
In this work, the researchers developed a cognitive mapping model for mobile robots, taking advantage of the coding …
How to perform robot place recognition with multi-scale, multi-sensor system inspired by place cells?
Adam Jacobson, Zetao Chen, Michael Milford. Leveraging variable sensor spatial acuity with a homogeneous, multi-scale place recognition framework. Biological Cybernetics, Jan 20, 2018, https://doi.org/10.1007/s00422-017-0745-7 .
This paper presented a biologically inspired multi-scale, multi-sensor place recognition system that incorporates the …
How Self-Motion Updates the Head Direction Cell Attractor?
Laurens J., et al., 2018 reviews head direction cells. They propose a quantitative framework whereby this drive represents a multisensory self-motion estimate computed through an internal model that uses sensory prediction errors of vestibular, visual, and somatosensory cues to improve …
About
Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience
Recent Posts
- How grid cell firing patterns rapidly adapt to novel or changing environmental features on a timescale relevant to behaviour?
- How the representations of space and time interact in the hippocampal memory system?
- How the brain integrate recent experiences into existing memories ensures that memories contain the most recently available information?
- How learning-associated astrocyte ensembles regulate memory recall?
- How bats use environmental acoustic information to perform acoustic cognitive map–based navigation?
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