2017
Grasp stability assessment through unsupervised feature learning of tactile images
ICRA 2017poster
Grasping tasks have always been challenging for robots, despite recent innovations in vision-based algorithms and object-specific training. If robots are to match human abilities and learn to pick up never-before-seen objects, they must combine vision with tactile sensing. This paper present a novel…