This work aims in developing and investigating the dynamics of the brain models capable of predicting cerebellar input-output transformations; analyzing the mathematical and computational properties of the network. Interfaces and mobile robot exploiting the neuronal network to the problem of navigation in mobile robots equipped with proprioceptive sensory system will be developed to apply the neuronal model and achieve,
All Terrain Intelligent Robot System
This robot was developed to test to bio-inspired algorithms. It has two sections. The main section moves using a slider-crank walking mechanism docking with it the wheeled section. The wheeled section can move at 30kmph and be controlled remotely by the walking section. The main section has a serial robot arm for pick and place purpose, an arm to cut/clear any vegetation obstructing its path. It can house a CCD camera and a laptop to process the scene ahead for navigation. The camera can swivel up to 180o. It has obstacle sensing devices and a metal detector too.
