Journal of Intelligent & Robotic Systems - Impact Factor

Journal of Intelligent & Robotic Systems - Springer | 2025 Impact Factor:3.1 | Cite Score:7.8 | SCOPUS Q1

Impact Factor and Journal Rank of Intelligent & Robotic Systems

About: Journal of Intelligent & Robotic Systems is a peer-reviewed journal that publishes original research, review articles, and case studies on intelligent systems and robotics. The journal serves as a platform for researchers, engineers, and practitioners to present their latest findings, exchange ideas, and discuss the future directions of intelligent systems and robotics.
Publication Types:
Research Articles: Original research contributions in the field of intelligent systems and robotics.
Review Papers: Comprehensive reviews of current technologies and methodologies in robotics and intelligent systems.
Case Studies: Practical applications and case studies showcasing the use of intelligent and robotic systems.
Methodological Papers: Articles focusing on the development and validation of new techniques and tools for intelligent systems and robotics.
Impact and Contribution:
Journal of Intelligent & Robotic Systems plays a crucial role in advancing the field of intelligent systems and robotics by publishing high-quality research and fostering collaboration among researchers worldwide. The journal contributions extend to both academic research and practical applications, influencing the development of innovative robotic solutions and intelligent systems.

Journal Home: Journal Homepage

Editor-in-Chief: Kimon P. Valavanis

Scope: The Journal of Intelligent & Robotic Systems provides a comprehensive platform for researchers, engineers, and practitioners to disseminate original research and developments in the field of intelligent systems and robotics. The journal covers a wide range of topics, emphasizing both theoretical and practical aspects of intelligent and robotic systems. Key areas of interest include: Robotic Systems: Research on the design, development, and implementation of robotic systems, including autonomous robots, industrial robots, service robots, and mobile robots.
Intelligent Systems: Studies on the integration of artificial intelligence (AI) techniques in robotic systems, including machine learning, neural networks, and expert systems.
Robotic Control: Research on advanced control methodologies for robotic systems, including adaptive control, robust control, and nonlinear control.
Human-Robot Interaction (HRI): Studies on the interaction between humans and robots, focusing on user experience, safety, and the development of intuitive interfaces.
Perception and Sensing: Research on sensory systems for robots, including vision systems, tactile sensors, and multimodal perception technologies.
Robot Learning: Studies on methods for enabling robots to learn from their environment and improve their performance over time, including reinforcement learning and imitation learning.
Robot Planning and Navigation: Research on algorithms and techniques for robotic path planning, obstacle avoidance, and autonomous navigation in complex environments.
Swarm Robotics: Studies on the coordination and control of multi-robot systems, focusing on collective behavior, communication protocols, and distributed algorithms.
Robotic Manipulation: Research on robotic manipulation and grasping techniques, including the development of robotic hands and dexterous manipulators.
Applications of Robotic Systems: Studies on the application of robotic systems in various domains such as healthcare, agriculture, manufacturing, exploration, and service industries.
Robot Motion and Path Planning: Research on the development of algorithms for efficient and effective robot motion and path planning in dynamic and static environments.
Ethics and Safety in Robotics: Studies on the ethical considerations and safety issues related to the deployment of intelligent and robotic systems, including guidelines and standards for safe operation.
Biologically Inspired Robotics: Research on robotic systems inspired by biological organisms, focusing on bio-mimetic designs and bio-inspired control mechanisms.
Soft Robotics: Studies on the development of soft robots that are adaptable, flexible, and capable of safe interaction with humans and delicate environments.
Robotic Systems in Education: Research on the use of robots as educational tools and the development of curricula for teaching robotics and AI concepts.