• Shalabh Gaur

Trajectory preparation is a prime method in the mobile robot navigation research. Sampling-based algorithms are capable of creating trajectories that help the robot meet the target avoiding obstacles. Through this proposed study, an Enhanced Artificial Potential Field (E-APF) produces the trajectories for mobile robots and ensures the reliability and stability of the trajectory at the same time. E-APF approach is proposed for Wheeled Mobile Robot (WMR) route planning, aiming at the problem that the classical APF cannot adjust to the dynamic trajectory planning and collapse as a prey to the optimal local solution. Combining the current development status of smart robots, obstacle avoidance and automated tracking is the subject of robot travel issues. Based on the development status of smart domestic control systems, existing technology, etc, this paper uses Arduino as the core control device, combined with an infrared tracking module. Four modules, such as ultrasonic obstacle avoidance module, motor drive module and power module, have developed a strong control system to perform the wheeled robot's intelligent tracking function and obstacle avoidance.

Wheel robot, Arduino, Tracking, Obstacle avoidance, Reliability, Stability.

"Obstacle Avoiding Robot Based on Arduino", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.450-456, February-2019, Available :http://www.jetir.org/papers/JETIREY06092.pdf

"Obstacle Avoiding Robot Based on Arduino", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp450-456, February-2019, Available at : http://www.jetir.org/papers/JETIREY06092.pdf