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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
From inilabs.com
Conventional 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 …
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 …
Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience