Deep Neuromorphic Controller with Dynamic Topology for Aerial Robots
Basaran Bahadir Kocer,Mohamad Abdul Hady,Harikumar Kandath,Mahardhika Pratama,Mirko Kovac,Basaran Bahadir Kocer,Mohamad Abdul Hady,Harikumar Kandath,Mahardhika Pratama,Mirko Kovac
Current aerial robots are increasingly adaptive; they can morph to enable operation in changing conditions to complete diverse missions. Each mission may require the robot to conduct a different task. A conventional learning approach can handle these variations when the system is trained for similar tasks in a representative environment. However, it may result in overfitting to the new data stream...
