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Modified Q-Learning Algorithm for Mobile Robot Real-Time Path Planning using Reduced States
Path planning is an essential algorithm in any autonomous mobile robot, including agricultural robots. One of the
reinforcement learning methods that can be used for mobile robot path planning is the Q-Learning algorithm. However, the
conventional…
reinforcement learning methods that can be used for mobile robot path planning is the Q-Learning algorithm. However, the
conventional…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
An adaptive neural control methodology design for dynamics mobile robot
The paper demonstrates an enhancement in the mobile robot’s performance during trajectory tracking with static obstacles. An adaptive artificial neural network (ANN) control methodology with online tuning evolutionary slice genetic algorithm is used…
Journal of ICT Research and Applications ITB Bandung Vol. 16 No. 1 2022
Mobile Robot Path Planning Optimization Based on Integration of Firefly Algorithm and Cubic Polynomial Equation
Abstract. Mobile Robot is an extremely essential technology in the industrial world. Optimal path planning is essential for the navigation of mobile robots. The firefly algorithm is a very promising tool of Swarm Intelligence, which is used in…