Visual Robot Homing Using Artificial Neural Networks and Reinforcement Learning
1) Introduction Homing through visual navigation in robotics is a complex problem for traditional field of robotics. The complexity of algorithms used for such purposes increase when the efficiency and effectiveness is increased through employing reinforcement learning on neural networks while combining results from reinforcement learning through aggregation . The traditional ways of homing depend on the pattern recognition and image processing that work fine in certain conditions but does not in a number of others. The problem primarily lies in the fixed performance of such systems in almost every type of environment.
Reinforcement Learning is an effective way used Continue reading...
