Aim
IJORAS publishes peer-reviewed work on robotics, automation, intelligent systems and applied sciences related to them. We cover the full chain from hardware and control to algorithms and deployment. Our focus is on systems that work in the real world. Applications include manufacturing, healthcare, agriculture, education, and energy.
We align with UN Sustainable Development Goals 3, 4, 7, 9, 11, 12 and 13. We accept experimental studies, hardware prototypes, software frameworks, and systematic reviews that provide clear quantitative results.

 

Scope

Pillar 1: Physical and Connected Intelligence
This pillar is about robots and connected machines that operate in dynamic environments.

Robotics and Autonomous Platforms: UAVs, USVs, AMRs, mobile manipulators, SLAM, visual navigation, grasping, and obstacle avoidance. We welcome papers with real robot tests, not only simulation.

Control and Embedded Systems: Industrial automation, mechatronics, embedded controllers, adaptive, fuzzy and learning-based control for hardware, and safety for human-robot collaboration.

Connected Systems: Cyber-physical systems, Industrial IoT, cloud-edge computing, embedded AI, and digital twins for manufacturing and robotics. Security is part of this pillar: threat detection, adversarial AI, privacy-preserving methods, forensics, and quantum-secured communication such as BB84.

Smart Infrastructure: Automation for agriculture, traffic, cities, and factories.

Pillar 2: Algorithmic Intelligence
Algorithms that make systems intelligent are the main focus of this pillar.

Machine Learning: Deep learning, reinforcement learning, graph neural networks, optimization, time-series forecasting, and hybrid models. We expect proper baselines and ablation studies.

Perception: Computer vision, YOLO and U-Net variants, pattern recognition, multimodal learning, and natural language processing including sentiment analysis.

New Paradigms: Agentic AI, LLM agents, multi-agent systems, federated learning, quantum machine learning, and neuromorphic computing. We also cover expert systems and fuzzy logic when applied to real problems.

Pillar 3: Applications and Sustainable Systems
Deployed systems using AI, robotics or IoT as the core method are of interest.

Health and Assistive Tech: Medical image segmentation (MRI tumor detection, prostate cancer), diagnostic tools, home rehabilitation, wearables like smart gloves, and fall monitoring.

Education: Learning analytics, educational data mining, and platforms for content creation.

Transport and Infrastructure: Route optimization, traffic forecasting, EV charging networks, and road safety analysis.

Energy and Environment: Waste-to-energy plant optimization, solar radiation modeling, smart grids, waste sorting, and satellite or SAR-based monitoring for paddy fields, forestry and disaster prediction.

Pillar 4: Enabling Science
Pillar 4 supports Pillars 1 to 3. It covers the hardware, materials and theory that enable intelligent systems.

Relevance Rule: Every Pillar 4 manuscript must include a short relevance paragraph (max 150 words) at the end of the Introduction. State clearly how your work enables or evaluates an intelligent system to avoid desk-reject.

 

Article Types
Research Articles: Original work with experiments, simulations, proofs or prototypes.

Review Articles: Systematic, scoping or bibliometric reviews.

Special Track Articles: From competitions and symposia. Same review process as regular papers.
Editorial Previews: Invited by editors.

What We Accept and What We Reject
We accept a paper if it meets all of these:
1. It fits Pillars 1 to 4.
2. Pillar 4 papers include the relevance paragraph.
3. Authors discuss limitations, safety, or ethical issues where relevant.

We desk-reject if:
- There is no connection to robotics, automation, intelligent computing or enabling science.
- It is only a product description or a small parameter tweak with no new insight.
- Claims are not supported by data.
- The same work is under review elsewhere.

 

Screening
All manuscripts go through editorial screening before peer review. For Pillars 1-3 we check for an intelligent component such as sensing, learning, control or communication, plus quantitative results. For Pillar 4 we check the relevance paragraph.

 

Positioning
IJORAS covers physical robots, algorithms, deployed applications, and the science behind them. Our goal is systems that are smarter, safer and more sustainable. Core areas: control engineering, AI, computer vision, networks and communications, electronics, renewable energy, and applied materials.