Journal of Robotics and Automation

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Table of Content: Volume 5, Issue 1

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Research Article Pages 251-257

Application and Technology Network of Standard Essential Patents in Machine Learning

Authors: Shu-Hao Chang

Abstract: The development of artificial intelligence has caused rapid growth in the industrial applications of machine learning. Studies on technology trends have mostly focused on patents applied to or approved by major patent offices and few studies have investigated standard essential patents (SEPs). Although recent studies have explored SEPs, most have only discussed legal regulations and intellectual property rights or current developments in SEPs and SEP declarations.

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Research Article Pages 236-250

Bio-Inspired Soft Robot for Locomotion and Navigation in Restricted Spaces

Authors: Zhaoyang Jacopo Hu and David Cheneler

Abstract: Soft robotics have been shown to be particularly versatile for accessing restricted and hazardous environments, such as nuclear and chemical processing plants, and pipelines. This paper presents a bio-inspired soft robot capable of propelling itself inside a cylindrical space. The continuum soft robot consists of three main sections, which, with coordinated inflation and deflation, enable a controlled locomotion of the robot.

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Review Article Pages 227-235

An Investigation of Haptic Modelling for Oral and Maxillofacial Surgical Training and Planning

Authors: Mutian Li, Susie Smart, Youhua Li, Ashraf Ayoub, Dimitris Drikakis and Xiu-Tian Yan

Abstract: This research investigates a haptic modelling approach where high resolutions are required for sensibility of force feedback in a target application - dental surgical operations. In particular the research focus is on maxillofacial deformity operations. The main aim of the research is to increase the realism of a computer model based simulation system that allows dental students and surgeons to feel like as if they were carrying out a real dental surgery procedure.

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Review Article Pages 212-226

Role of Machine Learning Algorithms in Forest Fire Management: A Literature Review

Authors: Muhammad Arif, Khloud K Alghamdi, Salma A Sahel, Samar O Alosaimi, Mashael E Alsahafi, Maram A Alharthi and Maryam Arif

Abstract: Forest fire disasters are recently getting lots of attention due to climate change globally. Globally, climate changes are rapidly changing the fire patterns on Earth. Effective fire management requires accurate information about the fire occurrence, its spread, and impact on the environment. Prediction of fire activities in the forest guides the authorities to make optimal, efficient, and sound decisions in fire management.

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