Advances in Robotic Application

Robotics is an interdisciplinary branch of engineering and science that includes mechanical engineering, electrical engineering, computer science, and others. Robotics deals with the design, construction, operation, and use of robots, as well as computer systems for their control, sensory feedback, and information processing.


In the present book, fifteen typical literatures about Advances in Robotic Application published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on RAW Image Reconstruction, Artificial intelligence, optimization problems in production and distribution, etc. We hope this book can demonstrate advances in Advances in Robotic Application as well as give references to the researchers, students and other related people.

Components of the Book:
  • Chapter 1
    A network epidemic model for online community commissioning data
  • Chapter 2
    A rare event approach to high-dimensional approximate Bayesian computation
  • Chapter 3
    Multilevel and Multi-index Monte Carlo methods for the McKean–Vlasov equation
  • Chapter 4
    Inferring large graphs using ℓ1ℓ1-penalized likelihood
  • Chapter 5
    On the exact maximum likelihood inference of Fisher–Bingham distributions using an adjusted holonomic gradient method
  • Chapter 6
    RAW Image Reconstruction Using a Self-contained sRGB–JPEG Image with Small Memory Overhead
  • Chapter 7br> The dominance-based rough set approach to cylindrical plunge grinding process diagnosis
  • Chapter 8
    Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth
  • Chapter 9
    Fast 2D/3D object representation with growing neural gas
  • Chapter 10
    Spatio-Temporal Scale Selection in Video Data
  • Chapter 11
    A multi-level approach to ubiquitous modeling and solving constraints in combinatorial optimization problems in production and distribution
  • Chapter 12
    Nonparametric estimation for compound Poisson process via variational analysis on measures
  • Chapter 13
    Classification of Multi-class Daily Human Motion using Discriminative Body Parts and Sentence Descriptions
  • Chapter 14
    An elliptically symmetric angular Gaussian distribution
  • Chapter 15
    Execution of UML models: a systematic review of research and practice
Readership: Students, academics, teachers and other people attending or interested in Advances in Robotic Application.
Dennis Prangle

Abdul-Lateef Haji-Ali, Mathematical Institute, University of Oxford, Oxford, UK

Magali Champion, Laboratoire MAP5Université Paris, Descartes Paris Cedex 06, France

Pawel Lezanski, Mechanical Engineering Department, Lodz University of Technology, Lodz, Poland

Anastassia Angelopoulou, Faculty of Science and Technology, University of Westminster Middlesex, UK

A. Kume, SMSAS, University of Kent Canterbury, UK

and more...
This Book

341pp. Published February 2018

Scientific Research Publishing, Inc., USA.

Category:Computer Science & Communications

ISBN: 978-1-61896-509-7

(Hardcover) USD 109.00

ISBN: 978-1-61896-509-7

(Paperback) USD 89.00

Authors/Editors Price: 40% off
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