In this project, we are creating an artificial world, suitable for training artificial agents and perform cognitive studies.

 This project deals with developing a useful robust controller for a biped robot to make it walk in an unstructured environment.

 This project is about to make artificial emotions and emotional control. Due to the tight cooperation between this project and project Zamin, refer to Zamin for more details.

 Current speech recognition systems usually fail to work in real environments. We believe that a fuzzy method must be able to solve the problem....

 A project to design and build a robot able to climb lamp posts and replace the lamps, automatically

 The goal of the project is to design and implement an stability controller for a remotely operated underwater vehicle.

 This project is about isolated speech  recognition. It is supposed to use different methods of learning to adjust the parameters of a special fuzzy model in order to recognize speech words.

 In this project we want to find a mapping between the concept of state in FSM and granule and using this mapping for learning new experiences. And refining the FSM or adding a new state to it.

 This project is about using a new fuzzy pattern recognition approach to recognize online handwrittens.

 A new modular robot designed, which can move individually. These modules can attach together to form more complex structures for different terrains.

 In this project fuzzy control algorithms have been employed to control the attitude of a Quadrotor.

 In this project a new Clustering Algorithm based on the Active Learning Method, is developed.

 In this project, Active Learning Method and Reinforcement Learning are used to guide local search algorithms to efficiently solve hard Combinatorial Optimization Problems.

 The goal of the project is to design and implement a gantry robot (a robot which its arm's position is determined by moving on two axis, X and Y) with ability to play snooker with an acceptable skill.