Grasp Stability from Vision and Touch
Conference poster, 2012
We study the exploitation of tactile and visual feedback to predict the stability of a grasp before attempting to lift an object and thus to prevent failures. Our robot learns an empirical representation of stable and unstable grasps by exploring given grasping configurations.
grasping and manipulation, grasp stability, Kernel Logistic Regression
Author
Yasemin Bekiroglu
Royal Institute of Technology (KTH)
Renaud Detry
Royal Institute of Technology (KTH)
Danica Kragic
Royal Institute of Technology (KTH)
IEEE IROS 2012 Workshop: Advances in Tactile Sensing and Touch-based Human Robot Interaction
Vilamoura, ,
Vilamoura, ,
Subject Categories
Robotics
Computer Vision and Robotics (Autonomous Systems)