Title :
A real-time motion data reduction and restoration compatible with robot´s physical limits
Author :
Doik Kim ; Jung-Min Park ; Seokmin Hong
Author_Institution :
Interaction & Robot. Res. Center, KIST, Seoul, South Korea
Abstract :
In order to control a robot, motion data obtained from various interface devices such as haptic and tele-operating interfaces, and a motion capture system, or from predefined parametric equations are needed. It is hard to store and transmit the data because of their high control frequency and synchronization problem. In addition, usually, all these data are only for one target robot system, i.e., it is hard to use them to other robot system with different hardware limits. In order to solve the problems, the reduction of the original data is conducted with two stage magnitude quantization and the restoration without violating the hardware limits, such as maximum velocity, acceleration, etc., is conducted with the convolution interpolation, in this paper. The proposed method can be used in on-line data transmission and for off-line data storage.
Keywords :
control engineering computing; data handling; motion control; robots; convolution interpolation; data reduction; data restoration; haptic interface; magnitude quantization; motion capture system; offline data storage; online data transmission; parametric equation; realtime motion data; robot control; robot physical limits; teleoperating interface; Convolution; Haptic interfaces; Hardware; Interpolation; Robots; Tin; Trajectory; Convolution Interpolation; Data Reduction; Hardware Limit; Restoration;
Conference_Titel :
Informatics in Control, Automation and Robotics (ICINCO), 2014 11th International Conference on