NeuroSLAM: Brain Inspired SLAM and Navigation System for 3D Environments
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 autonomous robots and vehicles.
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 autonomous robots.
Our Focus is on seeking to understand and solve the following challenging questions from the perspective of robotics and computational neuroscience:
- How the brain and robots represent and encode 3D space efficiently?
- How the brain and robots perform 3D path integration including 3D translation integration and 3D rotation integration in 3D manifold space based on 3D self-motion cues accurately?
- How the brain and robots perform 3D location calibration based on multisensory cues robustly?
- How the brain and robots 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 robots that navigate in 3D space as humans do inspired by the brain?