Category: Bio-Inspired Robotics

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 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 …

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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

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Camera Calibration Toolbox for Matlab

Camera Calibration Toolbox for Matlab @ Dr. Jean-Yves Bouguet

This is a release of a Camera Calibration Toolbox for Matlab® with a complete documentation. This document may also be used as a tutorial on camera calibration since it includes …

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Robotics Roadmap in the US and Europe

The US last year published its third Roadmap for US Robotics, covering the societal opportunities and challenges presented by the technology, and what needed to be done to continue innovation and adoption. Read more "A Roadmap for US Robotics

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Dynamic Vision Sensor (DVS)

From inilabs.com

DVS Overview

Dvs128AndEdvsWithCreditCardConventional vision sensors see the world as a series of frames. Successive frames contain enormous amounts of redundant information, wasting memory access, RAM, disk space, energy, computational power and time. In addition, each frame imposes the …

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ETH ANYmal: a quadrupedal robot designed for autonomous operation in challenging environments

ANYmal is a quadrupedal robot designed for autonomous operation in challenging environments. Driven by special compliant and precisely torque controllable actuators, the system is capable of dynamic running and high-mobile climbing. Thanks to incorporated laser sensors and cameras, the robot …

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