NeuroSLAM: Brain Inspired 3D SLAM and Navigation Systems for Neurorobots

2016-2030

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The NeuroSLAM Project aims to model the neural mechanisms in the brain underlying tasks like 3D navigation and 3D spatial cognition to develop new neuromorphic 3D SLAM and 3D cognitive navigation technologies for space, air, land, sea-based neuromorphic robots and vehicles.

 

Vision

Our Vision is to understand the neural mechanisms in the brain underlying 3D spatial navigation and to develop novel neuromorphic 3D SLAM and 3D cognitive navigation technologies for neuromorphic robots.

Focus

Our Focus is on seeking to understand and solve the following challenging questions from the perspective of neurorobotics and computational neuroscience:

• How do the brain and neurorobots represent and encode 3D space efficiently?
• How do the brain and neurorobots perform 3D path integration including 3D translation integration and 3D rotation integration in 3D manifold space based on 3D self-motion cues accurately?
• How do the brain and neurorobots perform 3D location calibration based on multisensory cues robustly?
• How do the brain and neurorobots process 3D goal-directed navigation and 3D path planning efficiently?
• How to model the spatial neural mechanisms and episodic memory in the brain underlying 3D navigation?
• How to build a novel neural network for performing 6DoF path integration?
• How to create neurorobots that navigate in 3D space as humans do inspired by the brain?

 

How NeuroSLAM work

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