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, ,

Subject Categories

Robotics

Computer Vision and Robotics (Autonomous Systems)

More information

Latest update

9/1/2022 1