Title :
A method to detect object grasping without tactile sensing on a humanoid robot
Author :
Jang, Junwon ; Kim, Kyungrock ; Park, Kicheol ; Kwak, Hoseong ; Roh, Kyungsik
Abstract :
In future daily life, one of the most important functionality as a household service robot may be the delivery task. Furthermore, grasping an object is the essential motion for the delivery task. To complete the ordered delivery task successfully, robot should be able to detect whether its hand is grabbing the target object or not. If the object is released unexpectedly during service, robot has to recognize this abnormal situation properly. Most robots have used tactile sensors in their hands. In this paper, we present a novel method for detecting object grasping for complex hands of a humanoid robot without using tactile sensors. Joint torque values of fingers are exploited as information to predict the states of robotic hands.
Keywords :
humanoid robots; manipulators; service robots; abnormal situation; delivery task; household service robot; humanoid robot; joint torque values; object grasping detection; robotic hands; Grasping; Joints; Support vector machines; Tactile sensors; Torque; Humanoid; Object Grasping; Robotic Hand; Support Vector Machine (SVM);
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-2247-8