Journal of Advanced Robotics, Autonomous Systems and Human-Machine Interaction
Author Guidelines
The Journal of Advanced Robotics, Autonomous Systems and Human-Machine Interaction publishes original research, applied studies, reviews, and case reports covering the theory, design, implementation, and evaluation of intelligent robotic systems. It seeks to connect advances in mechanical engineering, computer science, and cognitive science to the practical development of autonomous technologies.
Its scope reflects the growing role of robotics in both industrial and societal contexts, where performance, safety, and adaptability are essential. The journal encourages submissions that demonstrate novel designs, validate control strategies, or integrate robotics with human operators in meaningful ways.
Key areas of interest include:
- Robotic Design and Mechanisms: Kinematics, dynamics, actuation systems, and lightweight structural materials.
- Perception and Sensing: Computer vision, LiDAR, sonar, tactile sensing, and sensor fusion techniques.
- Autonomous Navigation: Path planning, localisation, mapping, and obstacle avoidance in dynamic environments.
- Control and Learning: Adaptive control, reinforcement learning, deep learning, and hybrid control architectures.
- Human-Robot Interaction (HRI): Interface design, user feedback systems, gesture recognition, and collaborative safety protocols.
- Multi-Robot Systems: Coordination strategies, swarm robotics, and distributed task allocation.
- Service and Field Robotics: Medical robots, agricultural robots, disaster response systems, and environmental monitoring applications.
- Ethics and Social Impact: Privacy, accountability, workforce implications, and public perception of robotics.
- Testing and Validation: Simulation platforms, benchmarking, and real-world performance evaluation.
The journal accepts both experimental and theoretical work, as well as applied engineering studies that address practical deployment. Contributions from interdisciplinary teams are particularly valued, as they reflect the collaborative nature of robotics research.
Authors should provide clear research objectives, outline methods, present results in detail, and discuss their relevance to advancing robotics and automation.