About the Journal
The Journal of Robotics, Automation and Smart Systems is an international, peer-reviewed, open-access journal committed to advancing cutting-edge research at the intersection of robotics, intelligent automation, and next-generation smart technologies. Focused on bridging theoretical innovation with practical engineering applications, the journal publishes high-quality contributions across a broad range of topics, including autonomous systems, industrial automation, AI-driven robotics, human–robot interaction, sensor networks, cyber-physical systems, machine vision, smart manufacturing, unmanned aerial and ground vehicles, embedded intelligence, and the Internet of Things (IoT). With an emphasis on innovation, interdisciplinary collaboration, and global technological impact, the journal serves as a premier platform for engineers, researchers, scientists, developers, and industry professionals to share discoveries and shape the future of intelligent systems. Each submission undergoes a rigorous single-blind peer-review process to ensure scientific integrity, technical accuracy, and international relevance. As part of our open-access publishing model, all articles are freely available worldwide – building knowledge accessibility, promoting scientific transparency, and accelerating the adoption of advanced robotic and automated technologies. In addition to traditional research articles, the Journal of Robotics, Automation and Smart Systems welcomes review papers, technical reports, case studies, industry insights, and multidisciplinary perspectives that reflect the fast-evolving landscape of intelligent systems engineering. Guided by a vision of excellence and ethical publishing, the journal strives to foster innovation that transforms industries, improves operational efficiency, enhances human capabilities, and contributes to sustainable technological progress. Our mission is rooted in empowering groundbreaking research that drives real-world solutions – from advanced automation in manufacturing to smart systems integrated into daily life. By embracing contributions from both emerging scholars and leading experts, the journal promotes academic inclusivity and global collaboration. With a streamlined publication workflow, editorial mentorship, and strong digital visibility, the Journal of Robotics, Automation and Smart Systems stands as a trusted hub for authors seeking to share impactful research and for readers who aim to stay at the forefront of advancements in robotics, automation, and intelligent technologies.
Aim and Scope
The Journal of Robotics, Automation and Smart Systems publishes original research articles, reviews, short communications, case studies, and technical notes covering all major fields of robotics, intelligent automation, and advanced smart system technologies. Submissions are welcome across (but not limited to) the following thematic domains:
Fundamentals of Robotics & Intelligent Machines
- Robot design, architecture, and kinematic/dynamic modeling
- Motion planning, trajectory optimization, and control systems
- Perception, sensor fusion, environment mapping, and localization
- Human–robot interaction (HRI), collaboration, and co-robotics
- Safety, reliability, and ethical frameworks for autonomous systems
Autonomous Systems, Navigation & Control
- Autonomous navigation in structured and unstructured environments
- Path planning, obstacle avoidance, and adaptive control
- SLAM (Simultaneous Localization and Mapping) and real-time positioning
- Distributed autonomy, multi-agent systems, and swarm robotics
- Robust control, fault-tolerant control, and system optimization
Industrial Automation & Robotic Manufacturing
- Smart factories, Industry 4.0 technologies, and cyber–physical systems
- Robotic automation for assembly, inspection, and logistics
- Collaborative robots (cobots) in industrial workflows
- Industrial sensors, machine vision, and predictive maintenance
- Automation system design, integration, and operational efficiencies
Artificial Intelligence, Machine Learning & Intelligent Automation
- AI-driven robotics, machine perception, and decision-making algorithms
- Deep learning for robotics, automation, and sensor data analysis
- Reinforcement learning, imitation learning, and adaptive intelligence
- Autonomous decision systems, reasoning, and cognitive robotics
- AI safety, explainable AI, and algorithmic transparency
Smart Systems, IoT & Cyber–Physical Integration
- Internet of Things (IoT), IIoT, and networked intelligent systems
- Embedded systems, real-time computing, and edge AI
- Distributed sensing, smart devices, and intelligent environments
- CPS (Cyber–Physical Systems) for infrastructure, health, and industry
- Connectivity protocols, interoperability, and system security
Mobile, Field & Service Robotics
- Mobile robots for exploration, inspection, and environmental monitoring
- Agricultural, underwater, aerial (UAVs/UGVs), and space robotics
- Service robots for healthcare, hospitality, and domestic applications
- Disaster response, search and rescue, and hazardous environment robots
- Field robotics for mining, construction, and energy sectors
Humanoid, Bio-inspired & Soft Robotics
- Humanoid robot mechanics, locomotion, and manipulation
- Bio-inspired designs, biomimetic algorithms, and evolutionary robotics
- Soft actuators, soft sensors, and compliant robotic materials
- Wearable robotics, exoskeletons, and rehabilitation technologies
- Locomotion strategies: walking, climbing, flying, swimming, hybrid motion
Automation in Smart Infrastructure & Smart Cities
- Intelligent transportation systems, autonomous vehicles, and mobility solutions
- Smart grids, smart buildings, and infrastructure automation
- Distributed monitoring systems for utilities, environment, and public safety
- Robotics and automation for urban planning, sustainability, and energy efficiency
- Integration of big data, digital twins, and smart city ecosystems
Sensing, Vision & Cognitive Systems
- Computer vision, 3D imaging, and visual perception for robotics
- Tactile, auditory, and multimodal sensing technologies
- Cognitive systems for recognition, decision-making, and adaptation
- Pattern analysis, feature extraction, and object tracking
- Sensor networks, intelligent imaging, and situational awareness
Human–Robot Interaction & Assistive Technologies
- Ergonomics, interface design, and intuitive user control
- Emotion-aware, socially interactive, and service-oriented robots
- Healthcare robotics for rehabilitation, surgery, and patient support
- Assistive technologies for elderly and disabled populations
- Ethical, societal, and legal implications of human-facing robotics
Smart Materials, Actuators & Mechatronics
- Advanced actuation technologies: piezoelectric, pneumatic, hydraulic
- Mechatronic system design, integration, and control
- Intelligent materials, shape-memory alloys, and adaptive surfaces
- High-performance robotics hardware and embedded systems
- Novel robotic platforms and engineering innovation
Simulation, Digital Twins & Virtual Prototyping
- Virtual environments, simulation tools, and physics-based modeling
- Digital twin development for robotic systems and industrial automation
- Verification, validation, and testing via simulation
- Model-based design, optimization, and prototype evaluation
- AI-augmented simulation for predictive analysis
Security, Privacy & Ethical Considerations
- Cybersecurity for robotic and autonomous systems
- Secure communication, encryption, and resilience in automation
- Ethical robotics, governance, and responsible AI deployment
- Regulatory frameworks, certification, and risk assessment
- Safety protocols for human–machine ecosystems
Emerging & Interdisciplinary Technologies
- Quantum robotics, neuromorphic computing, and advanced control paradigms
- Nanorobotics, microbots, and biomedical microdevices
- Hybrid AI–robotics systems, cloud robotics, and swarm intelligence
- Green automation, energy-efficient robotics, and sustainability
- Next-generation intelligent machines and technological convergence
Editorial and Peer-Review Policy
Journal of Robotics, Automation and Smart Systems employs a single-blind peer-review process to maintain fairness,
scientific integrity, and the quality of published work.
Key Features:
- Every manuscript is assessed by at least two independent subject experts, along with editorial oversight.
- Reviewers can see author details, but the identities of the authors remain hidden from them.
- The review criteria focus on originality, technical strength, methodological accuracy, ethical compliance, clarity, and relevance to the field of Journal of Robotics, Automation and Smart Systems.
- All submissions go through plagiarism checks and ethical evaluations before the peer-review process.
- Final decisions on publication are made by the handling editor, based on the reviewers' evaluations and the overall quality of the manuscript.
Publication Frequency & Format
This journal comes out Tri-Annual (Three issues per year). Once articles are accepted, they're quickly made available online in both HTML and PDF formats, ensuring fast and easy access to research findings.
Open Access Policy
Journal of Robotics, Automation and Smart Systems embraces a gold open access model, meaning all published articles are freely accessible to everyone. Authors retain the copyright to their work, shared under a suitable open-access license to promote transparency, collaboration, and global knowledge-sharing.
Indexing & Archiving
The journal aims to be included in well-known scientific indexing and abstracting databases. All content is preserved through trusted archiving systems to ensure long-term accessibility and discoverability.
For Manuscript Submission
Authors can submit their manuscripts through the journal's Online Submission System
(Submit Manuscript) or by emailing the Editorial Office at
support@confmeets.com.
Submitted manuscripts must adhere to the Journal of Robotics, Automation and Smart Systems Author Guidelines, which cover structure, formatting,
ethical approvals, and conflict-of-interest disclosures.
Publication Ethics & Integrity
Journal of Robotics, Automation and Smart Systems is committed to maintaining the highest publication ethics standards in accordance with COPE principles.
Authors must ensure proper ethical approvals for studies involving humans, animals, or sensitive materials, and follow informed consent and confidentiality practices.
They must also disclose conflicts of interest and funding support, report data accurately, and acknowledge contributor roles.
All submissions undergo plagiarism checks, and the journal has a strict policy for corrections, retractions, and post-publication updates.
