Open Access & Peer-Reviewed
Submit ManuscriptThe Journal of Applied Robotics and Artificial Intelligence invites original research, technical reports, and reviews advancing robotic systems and intelligent algorithms across all deployment domains. Our scope spans surgical robotics, industrial automation, field and service robotics, autonomous vehicles, soft and wearable devices, human robot interaction, computer vision, machine learning, and governance frameworks. Whether your work improves precision in the operating room, throughput on a factory floor, or navigation in unstructured terrain, JRAI is the venue to present your evidence.
Submissions are evaluated for technical rigor, deployment relevance, and measurable contribution to robotics or AI advancement across clinical, industrial, and service contexts.
Robotic assisted minimally invasive procedures, teleoperated surgical platforms, haptic feedback, force sensing, image guided navigation, and clinical validation studies improving surgical precision and patient safety.
Collaborative robots in assembly and logistics, warehouse automation, robotic welding, predictive maintenance through sensor fusion, quality inspection, and smart factory architectures driven by AI scheduling.
Object detection, visual SLAM and 3D reconstruction, depth estimation, semantic segmentation, surgical scene analysis, defect recognition in manufacturing, and multimodal sensor fusion pipelines.
Diagnostic support models, outcome prediction in clinical and industrial settings, reinforcement learning for control policies, transfer learning, anomaly detection, and explainable AI for safety critical applications.
Unmanned aerial vehicle navigation, agricultural robotics, search and rescue systems, underwater inspection robots, autonomous ground vehicles for construction and mining, environmental monitoring, and multi robot coordination.
Soft actuator design, bio inspired mechanisms, wearable exoskeletons for rehabilitation and industrial support, prosthetic intelligence, assistive robotics for elderly care, compliant gripping, and human augmentation through adaptive wearable systems.
Collaborative workspace design, trust calibration in human robot teams, shared autonomy frameworks, intent recognition, safety control architectures, and usability studies measuring operator performance and acceptance across domains.
Bias assessment and fairness in AI models, regulatory compliance for autonomous systems, responsible deployment frameworks, explainability requirements, benchmarking protocols, dataset transparency, and safety certification pathways for robotics in healthcare, transport, and industry.
JRAI combines domain expert review with structured dissemination. Accepted manuscripts receive metadata delivery, open access hosting, and discovery pathways connecting your work to engineers, clinicians, and AI researchers worldwide. Our editorial process emphasizes clear reviewer guidance so publications reflect both technical quality and deployment relevance.
The journal covers the full applied robotics and AI spectrum from surgical systems through industrial automation, field robotics, autonomous vehicles, soft and wearable devices, and governance frameworks. Authors benefit from predictable review timelines, transparent APC policy, and a submission experience built for multidisciplinary teams.
Our workflow maintains momentum while protecting technical and domain specific quality standards across robotics and AI disciplines.
Editors confirm scope fit and technical completeness before peer review assignment.
Reviewers assess design rigor, validity of results, and real world deployment relevance.
Authors receive structured feedback prioritizing clarity, reproducibility, and practical applicability.
Accepted papers move to production with copyediting, DOI assignment, and open access dissemination.
These questions arise frequently during active calls across surgical, industrial, and field robotics tracks.
Yes. JRAI covers all applied robotics and AI disciplines including industrial automation, agricultural robotics, autonomous vehicles, warehouse logistics, and service robotics alongside surgical and healthcare applications.
Yes. Simulation studies are welcome when methodology is rigorous, metrics are clear, and authors discuss the pathway from simulation to physical system validation.
Yes. Cross disciplinary submissions are strongly valued because applied robotics outcomes depend on integration between algorithm designers, hardware engineers, and domain end users.
Yes. Well designed studies with negative findings help the community avoid ineffective approaches and strengthen understanding of system limitations.
Editors and reviewers prioritize manuscripts that are technically transparent and operationally useful for real deployment environments.
Define primary outcomes and target deployment context clearly. Tie results to measurable improvement in precision, efficiency, safety, or autonomy.
Share hardware specifications, software versions, and evaluation protocols. Code and data availability statements strengthen reviewer confidence.
Report operating conditions, environmental constraints, and baseline system maturity to support interpretation and transferability.
Discuss failure modes, generalizability boundaries, and safety implications so conclusions remain credible and decision ready.
Before upload, confirm your manuscript states one explicit robotics or AI problem, one measurable objective, and one practical deployment implication. This framing improves reviewer alignment and reduces structural rewriting requests. Include this positioning in your abstract and cover letter.
Choose your preferred submission method and share your robotics and AI research with a global community of engineers, clinicians, and technology leaders.
