Grasp recognition with spatiotemporal deep learning and proximity sensors in transradial prostheses

The traumatic loss of a hand is a horrific experience usually followed by significant psychological, functional and rehabilitation challenges. Even though much progress has been made in the past decades, the prosthetic challenge of restoring the human hand functionality is still far from being achieved. Autonomous prosthetic hands showed...

Blind collision detection and classification framework for a heavyweight, low-speed mobile robot colliding with soft and hard objects

Abstract— Visual occlusion can cause object detection and classification systems to fail due to swift movement or a soiled, moist or dusty environment. Hence, this asks for a ’blind’ collision detection and classification method. This paper presents a novel blind collision detection and classification scheme for a<br/>heavyweight, low-speed,...

Semantic segmentation of mobile laser scanning point clouds with long short-term memory networks: Preliminary results

Although point clouds are characterized as a type of unstructured data, timestamp attribute can structure point clouds into scanlines and shape them into a time signal. The present work studies the transformation of the street point cloud into a time signal based on the Z component for the semantic segmentation using Long Short-Term Memory ...