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In this paper a real-time mobile robot motion planning system is proposed. This is done by extracting the sensory data of the IR sensors of the robot during offline training of the robot. The mobile agent is able to interact with an unknown environment using a reactive strategy determined by sensory data. After classifying the data into several classes we formulate the Gaussian membership function...
In this paper we have evaluated a new approach of Q-learning based on knowledge update in more extended environment. After learning at a fixed goal position, it is convenient for a robot to reach to the fixed destination from where it has started learning. With the new approach we can change the destination even after learning. The above process is evaluated with the concept of state-action pair values...
In the map building task, searching the starting position, after following the boundary of an unknown environment is a challenging job. Moreover if we continue the process, the robot will complete several trajectories. The final trajectory curve has been retrieved reducing the uncertainty within the several trajectories using fuzzy logic. Our experimental results show that this new strategy significantly...
This paper provides a new approach to the multi-robot path planning problem predicting the position of a dynamic obstacle which undergoes linear motion in the given workspace changing its direction at regular intervals of time. The prediction is done in order to avoid collision of the robots with the dynamic obstacle. The performance of the above mentioned approach has been found to be satisfactory...
This paper aims at laying a foundation towards the development of a robust platform for efficient control of the motion of autonomous mobile robots. Electroencephalographic (EEG) signals liberated during motor imagery of a human controller have been used to design the control mechanism. The proposed scheme can find widespread applications in the defense sector as secrecy of generated commands can...
This paper provides a modern approach to multi-robot motion planning in a given world map amidst both static and dynamic obstacles. The distributed method for multi-robot motion planning has been realized with particle swarm optimization algorithm. The experimental results show that the variation in the path deviation from optimal trajectory of the mobile robots increases with the increase in the...
The paper provides a novel approach to control the motion and orientation of a mobile robot using an encoded sequence of arm movements, obtained from the motor imagery indicated by electroencephalographic measurements. The importance of the proposed scheme lies in maintaining secrecy and privacy in control or management of remote robotic systems, as the signals liberated from the user's brain is not...
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