Journals in Robotics

Computers & Electrical Engineering

ISSN: 0045-7906
5 Year impact factor: 3.8
Impact factor: 4

The journal Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and communication and information systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like:Signal ProcessingPower Engineering (including renewable and green energies)Artificial Intelligence - methods and applicationsSecurityPrivacyCommunicationThe journal regularly publishes special sections covering specific topics of interest. Proposals for special sections should be submitted to the Editor-in-Chief. The list of current special sections can be found at https://www.sciencedirect.com/journal/computers-and-electrical-engineering/special-issues.Contributions should be submitted online following the guidelines in the Guide for Authors.

Control Engineering Practice

ISSN: 0967-0661
5 Year impact factor: 4.5
Impact factor: 5.4

A Journal of IFAC, the International Federation of Automatic ControlControl Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice's sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.The scope of Control Engineering Practice matches the activities of IFAC.Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.Fields of applications in control and automation: •Automotive Systems •Aerospace Applications •Marine Systems •Intelligent Transportation Systems and Traffic Control •Autonomous Vehicles •Robotics •Human Machine Systems •Mechatronic Systems •Scientific Instrumentation •Micro- and Nanosystems •Fluid Power Systems •Gas Turbines and Fluid Machinery •Machine Tools •Manufacturing Technology and Production Engineering •Logistics •Power Electronics •Electrical Drives •Internet of Things •Communication Systems •Power and Energy Systems •Biomedical Engineering and Medical Applications •Biosystems and Bioprocesses •Biotechnology •Chemical Engineering •Pulp and Paper Processing •Mining, Mineral and Metal Processing •Water/Gas/Oil Reticulation Systems •Environmental Engineering •Agricultural Systems •Food Engineering •Other Emerging Control ApplicationsApplicable methods, theories and technologies: •Modeling, Simulation and Experimental Model Validation •System Identification and Parameter Estimation •Observer Design and State Estimation •Soft Sensing •Sensor Fusion •Optimization •Adaptive and Robust Control •Learning Control •Nonlinear Control •Control of Distributed-Parameter Systems •Model-based Control Techniques •Optimal Control and Model Predictive Control •Controller Tuning •PID Control •Feedforward Control and Trajectory Planning •Networked Control •Stochastic Systems •Fault Detection and Isolation •Diagnosis and Supervision •Actuator and Sensor Design •Measurement Technology in Control •Software Engineering Techniques •Real-time and Distributed Computing •Intelligent Components and Instruments •Architectures and Algorithms for Control •Real-time Algorithms •Computer-aided Systems Analysis and Design •Implementation of Automation Systems •Machine Learning •Artificial Intelligence Techniques •Discrete Event and Hybrid Systems •Production Planning and Scheduling •Automation •Data Mining •Data Analytic •Performance Monitoring •Experimental Design •Other Emerging Control Theories and Related Technologies

Image and Vision Computing

ISSN: 0262-8856
5 Year impact factor: 4.3
Impact factor: 4.2

Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image interpretation and computer vision. The journal publishes work that proposes new image interpretation and computer vision methodology or addresses the application of such methods to real world scenes. It seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology. The coverage includes: image interpretation, scene modelling, object recognition and tracking, shape analysis, monitoring and surveillance, active vision and robotic systems, SLAM, biologically-inspired computer vision, motion analysis, stereo vision, document image understanding, character and handwritten text recognition, face and gesture recognition, biometrics, vision-based human-computer interaction, human activity and behavior understanding, data fusion from multiple sensor inputs, image databases.In addition to regular manuscripts, Image and Vision Computing Journal solicits manuscripts for the Opinions Column, aimed at initiating a free forum for vision researchers to express their opinions on past, current, or future successes and challenges in research and the community.An opinion paper should be succinct and focused on a particular topic. Addressing multiple related topics is also possible if this helps making the point. While posing questions helps raising awareness about certain issues, ideally, an opinion paper should also suggest a concrete direction how to address the issues. Topics of interest include, but are not limited to:Comments on success and challenges in a (sub-) field of computer vision,Remarks on new frontiers in computer visionObservations on current practices and trends in research, and suggestions for overcoming unsatisfying aspectsObservations on current practices and trends in the community regarding, e.g., reviewing process, organizing conferences, how journals are run, and suggestions for overcoming unsatisfying aspectsReviews of early seminal work that may have fallen out of fashionSummaries of the evolution of one's line of researchRecommendations for educating new generations of vision researchers.The format of an opinion paper should comply with the existing formatting guidelines for the Image and Vision Computing Journal submissions, and should not exceed 2 pages.Months of publication: January/February, March, April, May, June, July/August, September, October, November and December.

International Journal of Machine Tools and Manufacture

ISSN: 0890-6955
5 Year impact factor: 11.7
Impact factor: 14

Design, Research & ApplicationThe International Journal of Machine Tools and Manufacture is devoted to advances in scientific understanding of essential mechanics of processes and machines applied to the manufacture of engineering components, mainly in metals, but also in composites, ceramics and other structural/functional materials. To this end coverage is given to a range of topics that includes:•Essential mechanics of processes involving material removal, accretion and deformation, in solid, semi-solid or particulate form •Significant scientific development of existing or new processes and machines •In-depth characterisation of workpiece materials (structure/surfaces) by advanced techniques (e.g. SEM, EDS, TEM, EBSD, AES, Raman spectroscopy) to reveal new phenomenological aspects that govern manufacturing processes •Tool design, utilisation and in-depth studies of failure mechanisms •Novel concepts of machine tools/fixtures/tool holders supported by modelling and demonstrations that are relevant to manufacturing processes within the journal's remit •Novel scientific contributions dealing with interactions between the machine tool, control system, software design and processes. •Studies of specific mechanisms governing niche processes (e.g. ultra-high precision, nano /atomic level manufacturing with either mechanical or non-mechanical "tools") •Novel approaches, supported by adequate in-depth scientific analysis, addressing emerging /breakthrough processes (e.g. bio-inspired manufacturing) and/or applications (e.g. ultra-high precision optics)The above list is not exhaustive and papers on other topics associated with process science/technology or manufacturing hardware are welcome. Significant and useful advance of the current state of knowledge is an essential factor and it is important that papers are presented in a manner that will be appreciated by both academics and practising engineers. It is unlikely that papers dealing with theory or modelling alone will be acceptable, unless a significant proven advance in scientific/technological knowledge is demonstrated. Likewise, papers in which the use of methodology predominates over technological advance would probably be rejected. Normally, multipart papers are not acceptable.

Journal of Manufacturing Processes

ISSN: 1526-6125
5 Year impact factor: 6.2
Impact factor: 6.1

Published by SMEManufacturing is undergoing major transformation due to the unforeseen challenges arising from the current trend of miniaturization, the emergence of new materials and the growing interaction between biologists and engineers to learn more from nature and living objects.Traditionally, a "top-down" approach has been used in manufacturing. Recently, engineers and scientists have begun exploring "bottom-up" approaches for manufacturing today's highly complex products. Further, these emerging processes are aimed to improve process efficiency and product quality.The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.Papers relevant to the scope of JMP include, but are not limited to, the following areas:• Meso/micro/nano fabrication, including imprint lithography. • Advanced manufacturing processes, including mechanical, chemical and thermal processes. • Welding, joining and assembly at micro and macro scales. • Rapid prototyping, rapid manufacturing and repair, stereolithography and other 3-D fabrication techniques that can use optical projection. • Advanced embossing, casting, forming and molding processes at all scales. • Continuum and subcontinuum process modeling and simulation. • Manufacturing process monitoring, control and automation. • Tribology and wear issues relevant to manufacturing processes.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support CenterThe Journal of Manufacturing Processes (JMP) is an official journal of SME, in cooperation with the North American Manufacturing Research Institution of SME (NAMRI/SME).

Journal of Manufacturing Systems

ISSN: 0278-6125
5 Year impact factor: 11.3
Impact factor: 12.2

Published by SMEThe Journal of Manufacturing Systems publishes state-of-the-art fundamental and applied research in manufacturing at systems level. Manufacturing systems are comprised of products, equipment, people, information, control and support functions for the economical and competitive development, production, delivery and total lifecycle of products to satisfy market and societal needs.The aim of the Journal of Manufacturing Systems is to publish archival scholarly literature with the goal of advancing the state of the art in manufacturing systems and encouraging innovation in developing efficient, robust and sustainable manufacturing systems. Pertinent to the Journal is research that will impact emerging manufacturing systems from the equipment level to the extended enterprise. Challenges are addressed within and across various scales including nano, micro and macro-scale manufacturing, as well as within and across broad sectors including aerospace, automotive, energy and medical device manufacturing.The scope of the Journal of Manufacturing Systems includes, but is not limited to, the following areas:Factory and production network design, process planning, assembly planning, scheduling;Smart sensor networks, real-time monitoring, distributed system control;Human-machine interaction, human-robot collaborative assembly, operator ergonomics;Multi-physics modelling, simulation and optimisation, virtual and augmented reality in manufacturing;Diagnosis and prognosis, predictive maintenance, lifecycle analysis, product-service systems;Design and operation for sustainability, energy efficiency in production and logistics;Global and regional production networks, material handling, logistics;Mass customisation and personalisation, complexity management;Cyber-physical production systems, big data analytics and machine learning, industrial Internet;Systems issues related to additive and subtractive manufacturing, micro-electromechanical systems.Papers addressing related emerging topics are encouraged, and special-topic issues on emerging topics will be considered. The Journal of Manufacturing Systems is an official journal of Society of Manufacturing Engineers (SME), in cooperation with the North American Manufacturing Research Institution of SME (NAMRI/SME).

Knowledge-Based Systems

ISSN: 0950-7051
5 Year impact factor: 7.4
Impact factor: 7.2

Knowledge-based Systems is an international and interdisciplinary journal in the field of artificial intelligence. The journal will publish original, innovative and creative research results in the field, and is designed to focus on research in knowledge-based and other artificial intelligence techniques-based systems with the following objectives and capabilities: to support human prediction and decision-making through data science and computation techniques; to provide a balanced coverage of both theory and practical study in the field; and to encourage new development and implementation of knowledge-based intelligence models, methods, systems, and software tools, with applications in business, government, education, engineering and healthcare.This journal's current leading topics are but not limited to:Machine learning theory, methodology and algorithmsData science theory, methodologies and techniquesKnowledge presentation and engineeringRecommender systems and E-service personalizationIntelligent decision support systems, prediction systems and warning systemsComputational Intelligence systemsData-driven optimizationCognitive interaction and brain–computer interfaceKnowledge-based computer vision techniquesSpecial Issue InstructionsKnowledge-based Systems (KBS), an international and interdisciplinary peer-reviewed academic journal in the field of artificial intelligence, welcomes the submission of special issues on timely topics within the scope of the journal. The main objectives of the journal to organize special issues are to bring together state-of-the-art and high-quality research works, to promote key advances in the science and applications in the important field of knowledge-based systems, and to drive emerging research topics and establish flagships in the field.How to submit your Special Issue proposal:Check the selection criteria below for a KBS special issue to make sure your proposal is relevant to the journal,Write your special issue proposal in the structure given below,Submit the special issue proposal to the Editor-in-Chief (EiC),The EiC and KBS special issue assessment panel will then review your proposal and reply with their decision.Guest Editors' Duty and Special Issue Process:After a special issue proposal is accepted by the journal, a call for papers can be formally distributed. All the papers submitted to the special issue will undergo a peer review process. Guest Editors will manage the process and ensure that the reviewing standards for Knowledge-Based Systems regular issues are maintained. A Managing Guest Editor, who will be responsible for distributing submissions to the other Guest Editors, will need to be nominated. After the Guest Editors make recommendations on each paper in the special issue, the EiC will make the final decisions of acceptance for publication. After all papers to be included in the Special Issue are accepted, the Guest Editors will be responsible for either preparing an Editorial (1–2 pages in length) or writing a field survey (5–10 pages in length), which will incorporate the selected papers and related literature relevant to the topic of the special issue.Reproducibility Badge Initiative and Software PublicationReproducibility Badge Initiative (RBI) is a collaboration with Code Ocean (CO), a cloud based computational reproducibility platform that helps the community by enabling sharing of code and data as a resource for non-commercial use. CO verifies the submitted code (and data) and certifies its reproducibility. Code submission will be verified by the Code Ocean team for computational reproducibility by making sure it runs, delivers results and it is self-contained. For more information please visit this help article. Note that an accepted paper will be published independently of the CO application outcome. However, if the paper receives the Reproducibility badge, it will be given additional exposure by having an attached R Badge, and by being citable at the CO website with a DOI.We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.For more information contact us at: [email protected]

Mechanism and Machine Theory

ISSN: 0094-114X
5 Year impact factor: 4.5
Impact factor: 4.5

Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal.The main topics are:Design Theory and Methodology;Haptics and Human-Machine-Interfaces;Robotics, Mechatronics and Micro-Machines;Mechanisms, Mechanical Transmissions and Machines;Kinematics, Dynamics, and Control of Mechanical Systems;Applications to Bioengineering and Molecular ChemistryMethodologically, this includes theoretical, experimental, and/or historical approaches, along with their practical application, including education. Substantially, the journal aims at covering all subjects related to mechanisms and machines in general, such as: design theory and methodology, kinematics of mechanisms, rotor dynamics, computational kinematics, multibody dynamics, dynamics of machinery, nonlinear vibrations, linkages and cams, gearing and transmissions, transportation machinery, control and reliability of mechanical systems, including hydraulic and pneumatic systems, experimental test techniques, robots and robotic technologies, mechatronics, micromachines, human-machine interfaces, haptics, among others. Prospective fields of application of mechanism and machine science to other scientific areas such as bioengineering and molecular chemistry are also welcome.For more information on IFToMM, please visit https://iftomm-world.org/

Mechatronics

ISSN: 0957-4158
5 Year impact factor: 3.6
Impact factor: 3.1

The Science of Intelligent Machines An International JournalMission and ScopeA journal of IFAC, the International Federation of Automatic ControlWelcome to Mechatronics: The Science of Intelligent Machines. Mechatronics is a refereed journal that publishes articles that report advances in the state-of-the-art in Mechatronics and Robotics. We welcome original submissions that report creative or innovative methodology and solutions with a synergistic combination of mechanical engineering, electrical and electronic engineering, and control systems of intelligent machines or robotic systems. Submitted manuscripts are expected to report experimental results obtained from laboratory or full-scale mechatronic apparatus. Some of the topics addressed in the published articles include:Mechatronics: Modeling, identification and control of mechatronic systems; motion and vibration control; micro/nano systems and devices; automotive systems; biomedical mechatronic systems; and advanced manufacturing equipment and processes.Robotics: Modeling, control, learning and system issues related to: autonomous vehicles and robots, marine, underwater, and aerial robots, legged robots, soft robots, field robots, industrial robots, medical robots; human-robot interaction; teleoperation; haptics; and multi-robot systems.Types of papersRegular Articles: Articles that describe original research of high quality in Mechatronics or in Robotics.Review Articles: Contain a detailed survey of established or emerging topics of interest to the journal readership.Robotics and Mechatronics Letters: Short manuscripts, no longer than seven printed journal pages, that report important time sensitive results in Robotics or in Mechatronics. These articles will go through a rapid review process overseen by a dedicated Co-Editor-in- Chief.Book Reviews: A detailed review of published textbooks or research monographs of interest to Mechatronics' readership.

Robotics and Autonomous Systems

ISSN: 0921-8890
5 Year impact factor: 4.4
Impact factor: 4.3

Affiliated with the Intelligent Autonomous Systems (IAS) SocietyRobotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems.Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

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