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 focus
Research topics and contribution standards
These subject areas and editorial expectations help authors judge fit and show readers how each contribution is supported.
Research and evidence
A suitable contribution makes its research question and methods clear, then supports its conclusions with evidence appropriate to the work.
Research with a clear disciplinary contribution
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.
Read the journal overview →Choose the section that fits the work
Section scopes describe the topics covered and the contribution expected from submissions.
Robot Perception
This section covers robot perception within robotics and automation engineering. It welcomes theory, methods, system design and applications when the technical contribution is explicit and supported by analysis, simulation or testing suited to the claim. Authors should report platforms, tasks, evaluation conditions, comparison methods and limitations clearly.
View section scope →Robot Learning
This section covers robot learning within robotics and automation engineering. It welcomes theory, methods, system design and applications when the technical contribution is explicit and supported by analysis, simulation or testing suited to the claim. Authors should report platforms, tasks, evaluation conditions, comparison methods and limitations clearly.
View section scope →Autonomous Navigation
This section covers autonomous navigation within robotics and automation engineering. It welcomes theory, methods, system design and applications when the technical contribution is explicit and supported by analysis, simulation or testing suited to the claim. Authors should report platforms, tasks, evaluation conditions, comparison methods and limitations clearly.
View section scope →Industrial Automation
This section covers industrial automation within robotics and automation engineering. It welcomes theory, methods, system design and applications when the technical contribution is explicit and supported by analysis, simulation or testing suited to the claim. Authors should report platforms, tasks, evaluation conditions, comparison methods and limitations clearly.
View section scope →Human–Robot Interaction
This section covers human–robot interaction within robotics and automation engineering. It welcomes theory, methods, system design and applications when the technical contribution is explicit and supported by analysis, simulation or testing suited to the claim. Authors should report platforms, tasks, evaluation conditions, comparison methods and limitations clearly.
View section scope →Control & Motion Planning
This section covers control & motion planning within robotics and automation engineering. It welcomes theory, methods, system design and applications when the technical contribution is explicit and supported by analysis, simulation or testing suited to the claim. Authors should report platforms, tasks, evaluation conditions, comparison methods and limitations clearly.
View section scope →Forms of scholarly contribution
The journal considers the following types when the manuscript is appropriate to the section and meets the relevant methodological, reporting and ethics requirements.
Presents a distinct scholarly question and original findings, with methods, analysis and evidence reported in enough detail for critical assessment.
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.