Intuitive instruction of industrial robots: Semantic process descriptions for small lot production
In this paper, we introduce a novel robot programming paradigm. It focuses on reducing the
required expertise in robotics to a level that allows shop floor workers to use robots in their …
required expertise in robotics to a level that allows shop floor workers to use robots in their …
Training a convolutional neural network for multi-class object detection using solely virtual world data
Convolutional neural networks are a popular choice for current object detection and
classification systems. Their performance improves constantly but for effective training, large …
classification systems. Their performance improves constantly but for effective training, large …
Signal strength sensitivity and its effects on routing in maritime wireless networks
CW Ang, S Wen - 2008 33rd IEEE Conference on Local …, 2008 - ieeexplore.ieee.org
Unlike terrestrial networks, the received signal strength in maritime wireless networks are
subjected to perturbations due to the sea movement. Surface motions at sea cause …
subjected to perturbations due to the sea movement. Surface motions at sea cause …
An evolution of CNN object classifiers on low-resolution images
Object classification is a significant task in computer vision. It has become an effective
research area as an important aspect of image processing and the building block of image …
research area as an important aspect of image processing and the building block of image …
Primitive shape fitting in point clouds using the bees algorithm
In this study the problem of fitting shape primitives to point cloud scenes was tackled as a
parameter optimisation procedure, and solved using the popular bees algorithm. Tested on …
parameter optimisation procedure, and solved using the popular bees algorithm. Tested on …
Inferring the geometric nullspace of robot skills from human demonstrations
In this paper we present a framework to learn skills from human demonstrations in the form
of geometric nullspaces, which can be executed using a robot. We collect data of human …
of geometric nullspaces, which can be executed using a robot. We collect data of human …
An exact solver for geometric constraints with inequalities
CAD/CAM approaches have been used in the manufacturing industry for a long time, and
their use in robotic systems is becoming more popular. One common element in these …
their use in robotic systems is becoming more popular. One common element in these …
Structure‐aware multiple salient region detection and localization for autonomous robotic manipulation
This paper proposes a multiple salient region detection and localization approach for
unstructured industrial robot work environments with arbitrarily located and orientated …
unstructured industrial robot work environments with arbitrarily located and orientated …
Radius and orientation measurement for cylindrical objects by a light section sensor
Y Chen, C Liu - Sensors, 2016 - mdpi.com
In this paper, an efficient method based on a light section sensor is presented for measuring
cylindrical objects' radii and orientations in a robotic application. By this method, the …
cylindrical objects' radii and orientations in a robotic application. By this method, the …
Parameterized B-rep-Based Surface Correspondence Estimation for Category-Level 3D Object Matching Applicable to Multi-Part Items
T Yano, D Hagihara, N Kimura… - 2022 IEEE 18th …, 2022 - ieeexplore.ieee.org
We developed parameterized B-rep-based surface correspondence estimation (PABSCO),
which is a new category-level 3D object matching method to estimate the 6DoF poses and …
which is a new category-level 3D object matching method to estimate the 6DoF poses and …