ICV Value = 85.13
ISSN: 2642-4312
Editor-in-chief
Dr. Xiao-Hua Yu California Polytechnic State University, USA
Home / Browse Journals & Books / Journal of Robotics and Automation / Archive / Volume 1, Issue 1
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Review Article Pages 42-53
Abstract: The Coupled-Tank (CT) system remains an important tool for research by process control engineers. In this paper, we have addressed the issue of performance analysis of three control schemes, PI (based on pole placement, ZN and Ciancone correlation tuning methods), PI-plus-feedforward and MPC which have not been done in the present literatures.
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Review Article Pages 24-41
Abstract: A smart Remotely Operated Vehicle, ROV LATIS, is a prototype platform to test and validate OceanRINGS-a suit of smart technologies for subsea operations, developed at Mobile & Marine Robotics Research Centre, University of Limerick.
Short Commentary Pages 22-23
Abstract: This commentary asks how to provide a role for robotics in automating key transactional Enterprise Resources Planning (ERP) designing processes, and how to integrate ethical considerations into robotic decision making.
Review Article Pages 10-21
Abstract: A fast and reliable verification of an initial concept is an important need in the field of mechatronics. Usually, the steps for a successful design require multiple iterations involving a sequence of design phases-the initial one and several improvements-and the tests of the resulting prototypes, in a trial and error scheme.
SHORT COMMENTARY Pages 8-9
Abstract: The use of robotics in surgery has increased significantly in the last decade from its initial applications in urologic procedures. Robotic surgery has been increasingly utilized not only for urologic and gynecologic procedures, but also in other gastrointestinal disease sites, particularly for cancers of the rectum, pancreas, stomach, and esophagus. As the use of robotic surgery becomes more widespread for gastrointestinal malignancies and the potential benefits of this approach become better defined, an understanding of disparities in access and availability of robotic surgery across different racial and socioeconomic factors is increasingly relevant.
RESEARCH ARTICLE Pages 1-7
Abstract: This paper presents a new robust adaptive Gaussian mixture sigma-point particle filter by adopting the concept of robust adaptive estimation to the Gaussian mixture sigma-point particle filter. This method approximates state mean and covariance via Sigma-point transformation combined with new available measurement information. It enables the estimations of state mean and covariance to be adjusted via the equivalent weight function and adaptive factor, thus restraining the disturbances of singular measurements and kinematic model noise.
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