Tag: RatSLAM

ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM

Struckmeier, Oliver, Kshitij Tiwari, Martin J. Pearson, and Ville Kyrki. “ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM.” arXiv preprint arXiv:1904.05667 (2019).

Abstract— In this work, Struckmeier et al. propose a novel, bio-inspired multisensory SLAM approach called ViTa-SLAM. Compared to

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Animals Teach Robots to Find Their Way

By Chris Edwards
Communications of the ACM, August 2018, Vol. 61 No. 8, Pages 14-16. 10.1145/3231168

Mammalian research has underpinned the key models used in robot development. Analogs of neural networks found in the rat’s brain underpin the most widespread

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How landmark and self-motion cues combine during navigation to generate spatial representations?

The excerpt note is about how combine landmark and self-motion cues for navigation from Campbell et al., 2018.

Campbell, Malcolm G., Samuel A. Ocko, Caitlin S. Mallory, Isabel I. C. Low, Surya Ganguli & Lisa M. Giocomo. Principles governing the

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Biologically inspired visual odometry based on the computational model of grid cells

A biologically inspired visual odometry based on the computational model of grid cells, which is developed based on the the source code of the computational model of grid cells: http://clm.utexas.edu/fietelab/code.htm, and LIBVISO2: http://www.cvlibs.net/software/libviso/, by Huimin Lu, Junhao Xiao, …

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How to build robust visual template matching for robot place recognition and navigation?

The following are some references about visual template matching, including theory and demo.

Corke, Peter. Robotics, Vision and Control: Fundamental Algorithms In MATLAB® Second, Completely Revised. Vol. 118. Springer, 2017, pp. 376-392.

Milford, M. and Wyeth, G., 2010.

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How to implement appearance-based scene recognition using panoramic images for persistent navigation and mapping in open areas?

The excerpt note is about vision processing and appearance-based recognition using panoramic images for persistent navigation and mapping in open areas from Michael et al., 2010.

Michael Milford, and Gordon Wyeth. “Persistent Navigation and Mapping using a Biologically Inspired

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How to implement the Loop Closure (Map Correction) in RatSLAM?

This excerpt note is about loop closure (map correction) in RatSLAM from Michael et al., 2008 and Michael 2008 book.

Michael Milford, and Gordon F. Wyeth. “Mapping a Suburb with a Single Camera using a Biologically Inspired SLAM System

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How to represent large areas by reusing cells in 2D continuous attractor network model?

The excerpt note is about how to represent large areas by reusing cells in 2D continuous attractor network model in RatSLAM from Michael et al., 2008, 2010, and Samsonovich et al., 1997, McNaughton et al., 2006.

Michael Milford, and Gordon …

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How to represent location based on the place cells?

The excerpt note is about a model of spatial location based on the place cells from the Michael 2008.

Michael Milford. Robot Navigation from Nature: Simultaneous Localisation, Mapping, and Path Planning Based on Hippocampal Models. Springer-Verlag Berlin Heidelberg Press,

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What is the detail principle of Experience Map: Component, Transition, Creation, Maintenance in RatSLAM?

The excerpt note is about Experience Map: Component, Transition, Creation, Maintenance, from Michael 2008.

Michael Milford. Robot Navigation from Nature: Simultaneous Localisation, Mapping, and Path Planning Based on Hippocampal Models. Springer-Verlag Berlin Heidelberg Press, pp. 129-143, 149-150,  2008.

I.

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How to build cognitive map (experience map) for autonomous navigation in RatSLAM?

The excerpt note is about how to build Experience Map in RatSLAM from Michael et al 2008.

An experience map is a fine-grained topological map composed of many individual experiences, e, connected by transitions, t. Each experience is defined by …

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How to represent robot’s pose with a rate-coded neural network CAN in RatSLAM?

The excerpt note is about robot’s pose representation with a rate-coded neural network, continuous attractor network (CAN) in RatSLAM from Michael and Gordon 2010.

The CAN is a neural network that consists of an array of units with fixed weighted …

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How to perform Path Integration in RatSLAM?

The excerpt note is about path integration in RatSLAM from Michael et al. 2010, 2008, 2004.

The RatSLAM system uses poses cells to concurrently represent the beliefs about the location and orientation of the robot. By representing in the same …

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How does the velocity take effects on movement of activity of Pose Cells in RatSLAM?

The excerpt note is about how to move the activity of pose cells according to the translational and rotational velocity in RatSLAM from Michael et al. 2008, 2004.

The new path integration method shifts existing pose cell activity rather than

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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

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How to get the best current activity state in continuous attractor network with population decoding?

Models of head direction and place cells often use some form of attractor network (Redish, Elga et al. 1996; Zhang 1996; Samsonovich and McNaughton 1997; Stringer, Rolls et al. 2002; Stringer, Trappenberg et al. 2002). Typically an array of cells …

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How to implement the visual processing module for pose calibration in RatSLAM?

In this report, I summarized some key methods for visual processing module in RatSLAM or RatSLAM-based System. There are more than six approaches as following. By comparing and doing some practical experiments, I think that the intensity scanline profile and

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【Latest Papers】Cognitive Navigation by Neuro-Inspired Localization, Mapping and Episodic Memory

Abstract One of the important topics in the study of robotic cognition is to enable robot to perceive, plan and react to situations in a real-world environment. We present a novel angle on this subject, by integrating active navigation with …

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Some Tips When Run RatSLAM MATLAB Code

Some Tips When Run RatSLAM MATLAB Code

Fangwen Yu

Sep 21, 2017

0. RatSLAM MATLAB Code and Datasets

Open source code:

 https://wiki.qut.edu.au/display/cyphy/RatSLAM+MATLAB

Datasets Links:

Here is a link to the iRat's video:

https://www.dropbox.com/s/4905nzbx4pnihr7/log_irat_red.avi?dl=0

The iRat's odom in text form:

https://www.dropbox.com/s/9ns3uknayad8y1t/log_irat_red.txt?dl=0

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