Presents a distinct scholarly question and original findings, with methods, analysis and evidence reported in enough detail for critical assessment.
About the Journal
EJSIR Journal of Robotics, Automation and Autonomous Systems
Examines robotics, industrial automation, intelligent control, autonomous machines and human–robot collaboration. Analytical, experimental and systems contributions are considered when their operating context, design rationale, safety implications and evaluation evidence are clearly reported.
Journal overview
Journal of Robotics, Automation and Autonomous Systems is a journal in the EJSIR Publisher programme focused on robotics, automation and autonomous systems. Its sections cover Robot Perception, Robot Learning, Autonomous Navigation, Industrial Automation, Human–Robot Interaction, Control & Motion Planning, Swarm Robotics, Field Robotics, Soft Robotics and Autonomous Vehicles. It considers foundational and applied engineering contributions in robotics, control and autonomous systems, including methods and systems evaluated under conditions relevant to their intended use.
Submissions may report analytical models, control methods, robot or automation design, simulation, experiments, human–robot studies and system integration. Authors should describe platforms, sensors, datasets, operating conditions, comparison methods and safety limitations where relevant. Evaluation should support the stated claims and make clear how results may or may not generalize.
Editorial assessment considers scope, technical soundness, research integrity and clarity. The stated review model is double-anonymous peer review, normally with at least two independent reviewers. Publisher policies on ethics, access, authorship, conflicts, data and corrections apply alongside this journal’s scope. Manuscripts can be submitted only after the journal’s submission route opens.
Academic remit
The journal aims to publish research that advances robotics, automation, intelligent control and autonomous systems. It welcomes theoretical and methodological work, engineering designs, system integration and applications when the engineering contribution is clear and supported by appropriate evaluation. The work should fit one or more of the journal’s academic sections.
Suitable approaches include analytical design, control theory, simulation, laboratory and field testing, robotics experiments, human–robot interaction studies and comparative system evaluation. Authors should define tasks and operating conditions, report hardware and software details needed for assessment, identify baselines and performance measures, and discuss reliability, safety, limitations and uncertainty. Human-participant research should report applicable ethics and consent.
Claims about autonomy, robustness or real-world performance should be supported under relevant test conditions. Results from simulation should be distinguished from physical deployment, and demonstrations should not be presented as validated systems without suitable evidence.
Routine product descriptions, untested designs, performance claims without meaningful comparison and applications without an engineering contribution fall outside scope. Section descriptions below identify the journal’s subject boundaries.
Published work
Article types
Manuscripts must fit the journal scope and meet the relevant reporting, ethics and evidence requirements.
Synthesizes relevant scholarship to clarify the state of knowledge, compare interpretations and identify well-supported questions for further study.
Uses a clearly defined question and reproducible search, selection and synthesis methods, with the evidence base and limitations reported transparently.
Reports a focused result, observation or method whose concise presentation is useful to the field and supported by appropriate evidence.
Describes a practical method, instrument, workflow or technical refinement, explaining its operation, context and performance or validation.
Develops a reasoned scholarly interpretation of an important topic, distinguishing evidence from opinion and acknowledging relevant uncertainty.
Introduces a research dataset, software or other scholarly resource, documenting its provenance, structure, access conditions and quality checks.