A computationally low cost vision based tracking algorithm for human following robot
Muhammad Sarmad Hassan, Ali Fahim Khan, Mafaz Wali Khan, Muhammad Uzair, Khawar Khurshid · 2016
Recently, there has been an increasing interest in the field of human interactive robotics. Contrary to otherwise complex and resource hungry algorithms, we in this work have presented a computationally low cost algorithm for a human following robotic application. Instead of detecting the human, the algorithm makes use of a specific colour tag placed on the human subject which is detected by a camera mounted on the robot. Sensors including range sensor, magnetometer and optical encoders are utilized in tandem to assist the human following process. The method is tested on a custom built robotic platform running Raspberry pi minicomputer. We have performed and presented the results of several experiments for the evaluation of our method.