Advisor: Dr. Seung-yun Kim
Department of Electrical and Computer Engineering, The College of New Jersey, Ewing, NJ
Algorithms and operating systems are continually being evolved in need to develop more equipped and reliable robotic systems capable of performing in many real-world dynamics. The NAO robot is used to observe the ability of robots to perform specific tasks and the accuracy and reliability in the robot’s performance. The robot is tasked with color detection, accurately identifying object distances and motion planning. Algorithms modeled in Python with use of OpenCV allowed for successful object registration.