Advanced Topics on Computer Vision, Control and Robotics in Mechatronics

2018 ◽  
Keyword(s):  
Computer Vision ◽  
Vision Control ◽  
And Robotics

Computer Vision and robotics in postal automation

1999 ◽  
Vol 18 (3-4) ◽  
pp. 265-273
Author(s):  
Giovanni B. Garibotto
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Pattern Recognition ◽  
Material Handling ◽  
State Of The Art ◽  
Short Description ◽  
The Other ◽  
Functional Requirements ◽  
Postal Automation ◽  
And Robotics

The paper is intended to provide an overview of advanced robotic technologies within the context of Postal Automation services. The main functional requirements of the application are briefly referred, as well as the state of the art and new emerging solutions. Image Processing and Pattern Recognition have always played a fundamental role in Address Interpretation and Mail sorting and the new challenging objective is now off-line handwritten cursive recognition, in order to be able to handle all kind of addresses in a uniform way. On the other hand, advanced electromechanical and robotic solutions are extremely important to solve the problems of mail storage, transportation and distribution, as well as for material handling and logistics. Finally a short description of new services of Postal Automation is referred, by considering new emerging services of hybrid mail and paper to electronic conversion.

scholarly journals A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

Sensors ◽  
2014 ◽  
Vol 14 (4) ◽  
pp. 6247-6278 ◽  
Author(s):  
Gabriel García ◽  
Carlos Jara ◽  
Jorge Pomares ◽  
Aiman Alabdo ◽  
Lucas Poggi ◽  
...  
Keyword(s):  
Computer Vision ◽  
Signal Processing ◽  
Low Power ◽  
Sensor Systems ◽  
Vision Control

Modeling Human Motion: A Task at the Crossroads of Neuroscience, Computer Vision and Robotics

2020 ◽  
pp. 1-14
Author(s):  
Nicoletta Noceti ◽  
Alessandra Sciutti ◽  
Francesco Rea
Keyword(s):  
Computer Vision ◽  
Human Motion ◽  
And Robotics

scholarly journals Visual Behavior Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics

2012 ◽  
pp. 243-272 ◽  
Author(s):  
Abd El Rahman Shabayek ◽  
Olivier Morel ◽  
David Fofi
Keyword(s):  
Computer Vision ◽  
Object Recognition ◽  
Visual Perception ◽  
Polarization Vision ◽  
Visual Behavior ◽  
Biologically Inspired ◽  
Long Time ◽  
Comprehensive Survey ◽  
High Level ◽  
And Robotics

For long time, it was thought that the sensing of polarization by animals is invariably related to their behavior, such as navigation and orientation. Recently, it was found that polarization can be part of a high-level visual perception, permitting a wide area of vision applications. Polarization vision can be used for most tasks of color vision including object recognition, contrast enhancement, camouflage breaking, and signal detection and discrimination. The polarization based visual behavior found in the animal kingdom is briefly covered. Then, the authors go in depth with the bio-inspired applications based on polarization in computer vision and robotics. The aim is to have a comprehensive survey highlighting the key principles of polarization based techniques and how they are biologically inspired.

Development of a Web-Based Educational Platform to Interact with Remote Mobile Robots

2011 ◽  
pp. 46-65
Author(s):  
Luis Payá ◽  
Oscar Reinoso ◽  
David Úbeda ◽  
Luis M. Jiménez ◽  
José M. Marín
Keyword(s):  
Computer Vision ◽  
Mobile Robots ◽  
Web Based ◽  
Engineering Studies ◽  
Remote Laboratories ◽  
Motivation Interaction ◽  
Basic Concepts ◽  
Basic Features ◽  
And Control ◽  
And Robotics

In this chapter the authors approach the problem that hand-on experiments may present in engineering studies and how Internet has become a powerful tool to improve the students’ motivation, interaction and degree of learning. Also, the authors address some challenges that must be taken into account in order to improve the effectiveness of the remote laboratories. They have implemented an interactive tool so that students can monitor and control the evolution of a team of mobile robots through Internet. This platform is designed for a subject whose contents are computer vision and robotics, and it allows students to learn and practice the basic concepts on those fields and their relationship. In this chapter they present the architecture and basic features of the platform and the experiences collected during the use of it.

A Comprehensive Study on Artificial Intelligence and Robotics for Machine Intelligence

2021 ◽  
pp. 203-222
Author(s):  
Nagadevi Darapureddy ◽  
Muralidhar Kurni ◽  
Saritha K.
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Machine Intelligence ◽  
Ethical Problems ◽  
Economic Impact Assessment ◽  
The Social ◽  
Learning Capabilities ◽  
Increase Productivity ◽  
The Impact ◽  
And Robotics

Artificial intelligence (AI) refers to science-generating devices with functions like reasoning, thinking, learning, and planning. A robot is an intelligent artificial machine capable of sensing and interacting with its environment utilizing integrated sensors or computer vision. In the present day, AI has become a more familiar presence in robotic resolutions, introducing flexibility and learning capabilities. A robot with AI provides new opportunities for industries to produce work safer, save valuable time, and increase productivity. Economic impact assessment and awareness of the social, legal, and ethical problems of robotics and AI are essential to optimize the advantages of these innovations while minimizing adverse effects. The impact of AI and robots affects healthcare, manufacturing, transport, and jobs in logistics, security, retail, agri-food, and construction. The chapter outlines the vision of AI, robot's timeline, highlighting robot's limitations, hence embedding AI to robotic real-world applications to get an optimized solution.

scholarly journals Dataset of annotated food crops and weed images for robotic computer vision control

Data in Brief ◽  
2020 ◽  
Vol 31 ◽  
pp. 105833 ◽  
Author(s):  
Kaspars Sudars ◽  
Janis Jasko ◽  
Ivars Namatevs ◽  
Liva Ozola ◽  
Niks Badaukis
Keyword(s):  
Computer Vision ◽  
Food Crops ◽  
Vision Control

Quaternion epipolar decomposition for camera pose identification and animation

2013 ◽  
Vol 21 (1) ◽  
Author(s):  
W. Skarbek ◽  
M. Tomaszewski
Keyword(s):  
Computer Vision ◽  
Measurement Error ◽  
Computer Graphics ◽  
Quadratic Form ◽  
Essential Matrix ◽  
Virtual Camera ◽  
Camera Systems ◽  
Camera Pose ◽  
Pose Identification ◽  
And Robotics

AbstractIn the literature of computer vision, computer graphics and robotics, the use of quaternions is exclusively related to 3D rotation representation and interpolation. In this research we found how epipoles in multi-camera systems can be used to represent camera poses in the quaternion domain. The rotational quaternion is decomposed in two epipole rotational quaternions and one z axis rotational quaternion. Quadratic form of the essential matrix is also related to quaternion factors. Thus, five pose parameters are distributed into three independent rotational quaternions resulting in measurement error separation at camera pose identification and greater flexibility at virtual camera animation. The experimental results refer to the design of free viewpoint television.

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