NeuroSLAM: Neural Simultaneous Localization and Mapping Workshop
Simultaneous Localization and Mapping (or SLAM) refers to the problem of constructing a map of an unknown environment as it is actively being explored. SLAM has been treated extensively in mobile robotics, providing …
Reliability and accuracy of navigation in flying drones are one of the key challenges that must be solved in autonomous applications. Accurate knowledge of position, attitude, and velocity is a critical input for drones operating in cluttered and challenging environments …
The note is an excerpt from the Shinder et al. 2019. We just describe some key conception and results in this study as a significant note. Please read the original paper if you are interested in the study on https://www.physiology.org/doi/full/10.1152/jn.00880.2017…
A report titled ‘Flying Taxis Take Flight, Presage New Location Intelligence‘ by Frits van der Schaaf.
…Location intelligence has long been used to present real-time information on maps—for transportation companies’ tracking of shipments; utility companies’ monitoring the status
A report titled ‘Elevating the future of mobility: Passenger drones and flying cars‘ by Robin Lineberger, Aijaz Hussain, Siddhant Mehra, Derek M. Pankratz has published on the deloitte.com at January 18, 2018.
How to overcome the …
The brain’s spatial map is supported by place cells, encoding current location, and grid cells, which report horizontal distance traveled by producing evenly sized and spaced foci of activity (firing fields) that tile the environment surface. Casalia et al. 2019 …
The latest research Kreiser et al. 2018, published IROS 2018, investigated the use of ultra low-power, mixed signal analog/digital neuromorphic hardware for implementation of biologically inspired neuronal path integration and map formation for a mobile robot.
For further info, please …
Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience