Category: Flying Vehicle Navigation

Neural-inspired Sparse Sensing and Control for Agile Flight

MURI Project: Neural-inspired Sparse Sensing and Control for Agile Flight

“Researchers from the University of Washington, Carnegie Mellon University, and the Massachusetts Institute of Technology have been awarded a 2019 multidisciplinary university research initiative (MURI) award from the Air Force

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How flight feathers stick together to form a continuous morphing wing?

Laura Y. Matloff, Eric Chang, Teresa J. Feo, Lindsie Jeffries, Amanda K. Stowers, Cole Thomson, David Lentink. How flight feathers stick together to form a continuous morphing wing. Science 17 Jan 2020: Vol. 367, Issue 6475, pp. 293-297. DOI: …

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How does the PigeonBot fly like birds using real feathers?

Eric Chang, Laura Y. Matloff, Amanda K. Stowers and David Lentink. Soft biohybrid morphing wings with feathers underactuated by wrist and finger motion. Science Robotics 16 Jan 2020: Vol. 5, Issue 38, eaay1246. DOI: 10.1126/scirobotics.aay1246

Abstract
“Since the Wright …

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How the Spiking Neural Network allows for navigation through an environment via landmark association without needing GPS?

Alexander Jones, Andrew Rush, Cory Merkel, Eric Herrmann, Ajey P. Jacob, Clare Thiem, Rashmi Jha. A neuromorphic SLAM architecture using gated-memristive synapses. Neurocomputing, 2019, https://doi.org/10.1016/j.neucom.2019.09.098.

Abstract
Navigation in GPS-denied environments is a critical challenge for autonomous mobile platforms

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Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots

MURI Project Title: “Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots”

Project Website: http://sites.bu.edu/neuroautonomy/

https://electrical.eng.unimelb.edu.au/control-signal-processing/neuro-autonomy 

 

The following content is extracted from the http://www.bu.edu

A Boston University-led research team was selected to receive a $7.5 million Multidisciplinary …

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3D State Estimation and 3D Pose Graph Optimization for 3D SLAM and Navigation

The following are some key references about 3D state estimation, 3D motion, 3D pose graph optimization.

Solà, Joan, Jeremie Deray, and Dinesh Atchuthan. “A micro Lie theory for state estimation in robotics.” arXiv preprint arXiv:1812.01537 (2018).

In this …

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MetaFly: flying robotic insect

 

For further info, please visit the site https://www.kickstarter.com/projects/274008848/metafly-a-new-flying-experience/description

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Bio-inspired wind sensation for advanced autonomous drones/UAV navigation

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

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A Map in the Sky for Self-Flying Vehicles

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

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The flying cars are coming soon, how to overcome the challenge of autonomous flying vehicle navigation?

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

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