Intelligence & Robotics (IR) is an international peer-reviewed, gold open access, online journal.
Aims and Scope
Intelligence & Robotics publishes top-quality unpublished original technical and non-technical application-focused articles on intelligence and robotics, particularly on the interdisciplinary areas of intelligence and robotics. The Journal seeks to publish articles that deal with the theory, design, and applications of intelligence and robotics, ranging from software to hardware. The Journal would be interested in the distributed development and maintenance of real-world intelligent and robotic systems by multidisciplinary teams of scientists and engineers.
The scope includes, but is not limited to:
1. Artificial Intelligence Foundations & Methods
- Machine learning and deep learning
- Generative AI and foundation models (e.g., large language models, vision-language models)
- Reinforcement learning and imitation learning
- Self-supervised, unsupervised, and continual/lifelong learning
- Causal inference and explainable AI (XAI)
- Trustworthy, robust, and secure AI (adversarial learning, OOD generalization)
- Neuro-symbolic AI and hybrid intelligence
- Swarm intelligence and distributed intelligence
2. Embodied Intelligence & Physical AI
- Embodied AI and embodied cognition
- Foundation models for robotics (robot foundation models, VLA models)
- Perception–action loop and sensorimotor learning
- Sim-to-real transfer and domain adaptation
- Interactive learning in physical environments
- World models and predictive representations for agents
3. Robotics: Modeling, Planning, and Control
- Motion planning and trajectory optimization
- Autonomous navigation and SLAM
- Multi-agent systems and cooperative control
- Distributed coordination and consensus control
- Fault diagnosis, fault-tolerant control, and resilient robotics
- Human-in-the-loop control and shared autonomy
- Learning-based control and adaptive control systems
4. Robot Perception & Multimodal Intelligence
- Computer vision for robotics (3D vision, scene understanding)
- Multimodal perception and sensor fusion (vision, language, tactile, audio)
- Semantic mapping and spatial intelligence
- Active perception and attention mechanisms
- Event-based perception and neuromorphic sensing
5. Human–Robot Interaction & Collaboration
- Human–robot collaboration (HRC)
- Teleoperation and telepresence systems
- Intention recognition and behavior prediction
- Natural language interaction and dialogue systems for robots
- Social robotics and affective computing
- Brain–computer interfaces (BCI) for robotic control
6. Advanced Robotic Systems & Platforms
- Humanoid robots and legged robots
- Aerial, ground, marine, and space robots
- Swarm robotics and multi-robot systems
- Soft robotics and bio-inspired robotic systems
- Surgical robotics and medical robotic systems
- Industrial and service robotics
7. Digital, Virtual, and Simulation Technologies
- Digital twins for robotics and intelligent systems
- Simulation platforms and virtual testing environments
- Virtual reality (VR), augmented reality (AR), and mixed reality (MR)
- Data-driven simulation and synthetic data generation
8. AI for Cyber-Physical and Intelligent Systems
- Autonomous driving and intelligent transportation systems
- Smart manufacturing and Industry 4.0
- Intelligent infrastructure and smart cities
- Marine and aerospace autonomous systems
- Edge AI and embedded intelligence
9. Reliability, Prognostics, and Health Management for Robotic Systems
- Fault diagnosis and fault-tolerant systems
- Remaining useful life (RUL) prediction
- AI-based battery health estimation (SOH, SOC)
- Predictive maintenance for robotic and autonomous systems
- Digital twin-driven health monitoring
10. The journal encourages interdisciplinary research on artificial intelligence and/or robotics
- Energy systems
- Healthcare
- Transportation
- Manufacturing
- Other emerging domains
Ownership
The journal is owned by OAE Publishing Inc.
Publishing Model
Gold open access. All articles published by IR are made freely and permanently accessible online immediately from the date of publication. For further information, please refer to Open Access.
Copyright and License to Publish
Articles in IR are published under a Creative Commons Attribution 4.0 International (CC BY 4.0). The CC BY 4.0 allows for maximum dissemination and re-use of open access materials and is preferred by many research funding bodies. Under this license users are free to share (copy, distribute and transmit) and remix (adapt) the contribution for any purposes, even commercially, provided that the users appropriately acknowledge the original authors and the source.
Copyright is retained by authors. Authors are required to sign a License to Publish (which can be downloaded from the journal's Author Instructions), granting IR, which identifies itself as the original publisher, exclusive rights to publish their articles, and granting any third party the right to use the articles freely as long as the integrity is maintained and the original authors, citation details and publisher are identified.
Editorial Board
For more information about the editorial team, please refer to Editorial Board.
Editorial Policies
All manuscripts submitted to IR should adhere to journal's Editorial Policies.
Peer Review
The journal adheres to rigorous peer review and undergoes single-blind peer review. For more details, please refer to Editorial Process and Peer Review Guidelines.
Publication Ethics Statement
IR fully adheres to the Code of Conduct and the Best Practice Guidelines of Committee on Publication Ethics (COPE).
The Editors of this journal enforce a rigorous peer-review process together with strict ethical policies and standards to guarantee to add high quality scientific works to the field of scholarly publication. Unfortunately, cases of plagiarism, data falsification, image manipulation, inappropriate authorship credit, and the like, do arise. The Editors of IR take such publishing ethics issues very seriously and are trained to proceed in such cases with a zero tolerance policy. To verify the originality of content submitted to our journals, we use CrossCheck (powered by iThenticate) to check submissions against previous publications.
Journal Information and Statistics
- Publication model: Gold open access
- Digital archive: Portico
- Frequency: Quarterly
- DOI: 10.20517/ir
- ISSN: 2770-3541 (Online)
