This article surveys the use of natural language in robotics from a robotics point of view. To
use human language, robots must map words to aspects of the physical world, mediated by …

Kinect is a device introduced in November 2010 as an accessory of Xbox 360. The acquired
data has different and complementary natures, combining geometry with visual attributes …

We present an accurate, real-time approach to robotic grasp detection based on
convolutional neural networks. Our network performs single-stage regression to graspable …

Robust object recognition is a crucial ingredient of many, if not all, real-world robotics
applications. This paper leverages recent progress on Convolutional Neural Networks …

This paper proposes an efficient and effective scheme to applying the sliding window
approach popular in computer vision to 3D data. Specifically, the sparse nature of the …

The depth information of RGB-D sensors has greatly simplified some common challenges in
computer vision and enabled breakthroughs for several tasks. In this paper, we propose to …

This paper presents an approach for labeling objects in 3D scenes. We introduce HMP3D, a
hierarchical sparse coding technique for learning features from 3D point cloud data. HMP3D …

The goal of this work is to represent objects in an RGB-D scene with corresponding 3D
models from a library. We approach this problem by first detecting and segmenting object …

One core challenge in object pose estimation is to ensure accurate and robust performance
for large numbers of diverse foreground objects amidst complex background clutter. In this …

Since the launch of the Microsoft Kinect, scores of RGBD datasets have been released.
These have propelled advances in areas from reconstruction to gesture recognition. In this …