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Review Article 

Development of a Human-Robot-Collaboration System using the Example of a Riveting Process in Aircraft Assembly

Rainer Muller, Matthias Vette, Aaron Geenen, Ali Kanso and Tobias Masiak

Abstract

Assembly processes in aircraft production are particularly difficult to automate due to a variety of technical challenges including, small batch sizes, large product dimensions, small tolerances, and limited work space. Fully automated systems are expensive and require a large amount of servicing effort during their life time.

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Review Article 

The Turing Test and Android Science

Gilberto Marzano

Abstract

As is well-known, Turing's classic test was based on the simultaneous comparison by an interrogator of two hidden entities, one being human and the other being a machine. If the interrogator, who was human, was not able to correctly identify the responders by saying for certain which one was the machine and which was the human the machine passed the test and one could claim that it exhibited an intelligent behavior.

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RESEARCH ARTICLE 

Inchworm Inspired Pneumatic Soft Robot Based on Friction Hysteresis

Jinqiang Ning, Chaoyang Ti and Yuxiang Liu

Abstract

In this paper, we present an inchworm-inspired pneumatic soft robot that requires only one degree-of-freedom control to generate continuous linear locomotion on various surfaces.

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Review Article 

Performance Analysis for Coupled - Tank System Liquid Level Control Using MPC, PI and PI-plus-Feedforward Control Scheme

Auwal Shehu Tijjani, Muhammad Auwal Shehu, Ali Mohsen Alsabari and Yusuf A Sambo

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 

Precision Control and Dynamic Positioning of ROVS in Intervention Operations

Edin Omerdic, Daniel Toal and Gerard Dooly

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.

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Short Commentary 

Should Robotics Need Ethical Codes? Robotics and ERP

Yu-Cheng Tang

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.

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Review Article 

Virtual and Rapid Prototyping of an Underactuated Space End Effector

Marco Sabatini, Nicola Palumbo, Paolo Gasbarri and Giovanni Palmerini

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.

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SHORT COMMENTARY 

Disparities in Robotic Surgery for Gastrointestinal Cancers

Bonnie S Berkley and Emmanuel Gabriel

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.

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RESEARCH ARTICLE 

Robust Adaptive Gaussian Mixture Sigma Point Particle Filter

Haifeng Yan, Bingbing Gao, Shesheng Gao, Li Xue, Yongmin Zhong , Chengfan Gu and Reza Jazar

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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