Title :
Trajectory tracking control of the guiding and following mobile robots: Elliptic collision-Free approach
Author :
Yu, Wen-Shyong ; Lin, Chih-Hao
Author_Institution :
Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan
Abstract :
In this paper, a trajectory tracking control strategy by elliptic collision-Free approach is proposed for guiding and following mobile robots. Each robot is setup with a single eye camera to capture the image of a guiding robot or obstacle. The image between them is converted to a gray form, and then to the gradient for each pixel of Gaussian pyramid level to estimate the motion parameters, disturbances, or obstacles. Successive images for a moving object are used to estimate or recognize the foreground, guiding robot, and obstacles by calculating the gravity of the moving object, and then the following mobile robot will follow the trajectory of the guiding one. On the contrary, the following mobile robot turns out to serve as a guiding one when there is no gravity. Furthermore, the elliptic collision-free path will be used for obstacle gravity and keep going until the final destination is achieved. Finally, experimental results will be used to show the effectiveness of the proposed method.
Keywords :
Gaussian processes; cameras; collision avoidance; image recognition; mobile robots; motion estimation; object tracking; parameter estimation; robot vision; trajectory control; Gaussian pyramid level; disturbance estimation; elliptic collision-free path; eye camera; following mobile robots; foreground recognition; gradient image; gray image; guiding mobile robots; guiding robot image; guiding robot recognition; motion parameter estimation; obstacle estimation; obstacle gravity; obstacle image; obstacle recognition; trajectory tracking control; Collision avoidance; Gravity; Mobile robots; Robot kinematics; Trajectory; Wheels; elliptic collision-free approach; guiding and following mobile robots; obstacles; trajectory tracking control;
Conference_Titel :
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1488-6
Electronic_ISBN :
2161-4393
DOI :
10.1109/IJCNN.2012.6252564