Title :
Tactile sensing for an anthropomorphic robotic hand: Hardware and signal processing
Author :
Göger, Dirk ; Gorges, Nicolas ; Wörn, Heinz
Author_Institution :
Inst. for Process Control & Robot., Univ. Karlsruhe (TH), Karlsruhe, Germany
Abstract :
In this paper, a tactile sensing system for an anthropomorphic robot hand is presented. The tactile sensing system is designed as a construction kit making it very versatile. The sensor data preprocessing is embedded into the hand´s hardware structure and is fully integrated. The sensor system is able to gather tactile pressure profiles and to measure vibrations in the sensor´s cover. Additionally to the introduction of the hardware, the signal processing and the classification of the acquired sensor data will be explained in detail. These algorithms make the tactile sensing system capable to detect contact points, to classify contact patterns and to detect slip conditions during object manipulation and grasping.
Keywords :
humanoid robots; image classification; manipulator dynamics; mobile robots; object detection; tactile sensors; anthropomorphic robotic hand; contact point detection; hardware structure; object grasping; object manipulation; sensor data classification; sensor data preprocessing; signal processing; slip condition detection; tactile pressure profile; tactile sensing system; vibration measurement; Anthropomorphism; Data preprocessing; Hardware; Object detection; Pressure measurement; Robot sensing systems; Sensor systems; Signal processing; Signal processing algorithms; Vibration measurement;
Conference_Titel :
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-2788-8
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2009.5152650