Category: AI Navigation

How can spatial navigation research in neuroscience and AI advance both fields significantly?

Bermudez-Contreras E, Clark BJ and Wilber A (2020) The Neuroscience of Spatial Navigation and the Relationship to Artificial IntelligenceFront. Comput. Neurosci. 14:63. doi: 10.3389/fncom.2020.00063

Abstract

“Recent advances in artificial intelligence (AI) and neuroscience are impressive. In AI, this …

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What are the main challenges and the future prospects of neuromorphic computing?

Roy, K., Jaiswal, A. & Panda, P. Towards spike-based machine intelligence with neuromorphic computing. Nature 575, 607–617 (2019) doi:10.1038/s41586-019-1677-2

Abstract
“Guided by brain-like ‘spiking’ computational frameworks, neuromorphic computing—brain-inspired computing for machine intelligence—promises to realize artificial intelligence while reducing the

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How to enable robots to navigate the moon?

A latest IEEE Spectrum Report titled ‘Robots Will Navigate the Moon With Maps They Make Themselves‘ by Prachi Patel has been published. 

Astrobotic’s autonomous navigation will help lunar landers, rovers, and drones find their way on the moon. …

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How to implement 6DoF state estimation on 3D manifold based on neural dynamics?

State estimation in high dimensional space is a big challenge problem. Commonly, we use Lie group to implement 6DoF state estimation in 3D space. However, how does the brain implement path integration in 3D space based on neural dynamics?

Low …

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The internal maps of insects

Webb, Barbara. “The internal maps of insects.” Journal of Experimental Biology 222, no. Suppl 1 (2019): jeb188094.

ABSTRACT

Insect navigation is strikingly geometric. Many species use path integration to maintain an accurate estimate of their distance and direction

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Attractor Dynamics and Embodiment of Neural Computing (Neuromorphic SLAM)

Yulia Sandamirskaya. Attractor Dynamics and Embodiment of Neural Computing. Presented at  Neuro Inspired Computational Elements Workshop (NICE 2019). 

Dr. Sandamirskaya talked about attractor dynamics and neuromorphic SLAM. The talks introduced head direction cells models based on neuromorphic hardware. How …

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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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Insect-Inspired Robots Don’t Need GPS For Orientation

The ‘Brains on Board’ project is a collaboration between several British universities in partnership with the Human Brain Project and seeks to ‘translate’ the brains of ants and bees into algorithms that a machine will understand. Its aim is …

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NeuroSLAM : Neural Simultaneous Localization and Mapping Workshop 13-14 Mar 2019 Paris (France)

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 …

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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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AntBot: desert ants inspired autonomous navigation in outdoor environments

J. Dupeyroux et al. 2019 presents a navigation system inspired by desert ants’ navigation behavior, which requires precise and robust sensory modalities.

They tested several ant-inspired solutions to outdoor homing navigation problems on a legged robot using two optical sensors …

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DeepMind GridCells Code

The DeepMind opens the code of grid cells (Banino et al 2018) via GitHub(https://github.com/deepmind/grid-cells) in Jan. 2019. This package provides an implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published …

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Towards Neuromorphic SLAM and Navigation

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 …

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How 3D grid cells encode 3D physical space in the human brain?

Novel fantastic research about 3D grid cells in the human brain by Dr. Misun Kim and Professor Eleanor A. Maguire in paper Kim et al. 2019 

Misun Kim, Eleanor A. Maguire. Can we study 3D grid codes non-invasively in the

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