Multi Agent Robot Control Based on Type-2 Fuzzy and Ant Colony Optimization

This chapter is to focus on an Agent based approach to Multi robot control using type -2 fuzzy and Ant colony optimization. Type -2 fuzzy interval controllers was applied to the autonomous robot in order to handle uncertainty in a better way and ant colony optimization technique has been used for an optimized path planning in traffic environment with more number of robots. Both Agents based and type-2 fuzzy together with Ant Colony Optimization technique is used to achieve second level of intelligence. Each sensor is treated as independent agent but it can be interconnected through interface agent. Old sensors can be taught new tricks to improve the level of intelligence of sensor agents. UV sensor/IR sensor with RF range of signals can be used to detect long distance objects. Camera based vision system act as a camera sensor agent to detect nearer objects. GSM modem can be used as another agent and hence it can be used to control the robot through SMS. GPS kit interfaced with GSM modem can be used to locate the position of the robot. All the sensor agents will offer additional intelligence/ functionality by integrating microprocessors or microcontrollers.