2017
Grasp stability assessment through the fusion of proprioception and tactile signals using convolutional neural networks
IROS 2017poster
The growing demand in industry for robots capable of performing a variety of tasks requires an increased capability in robotic grasping. Humans are adept at interacting with novel objects, a skill attributed primarily to tactile feedback in the form of exteroception and proprioception. This paper pr…