Journal of Intelligent & Robotic Systems is an academic journal published by Springer. (ISSN 0921-0296, impact factor 2.8).
Aims and scope
The Journal of Intelligent and Robotic Systems (JINT) publishes original, peer-reviewed, invited, survey and review papers. These papers promote and disseminate scientific knowledge and information in the fields of system of systems, generalized system theory, distributed intelligent systems, bioengineering, robotics and automation, human-robot interaction, human-machine interfaces and interaction, robot ethics, social and service robotics, medical robotics, mechatronics, unmanned systems, multi-robot teams and networked swarms, machine intelligence, learning, system autonomy and autonomous systems, design for autonomy, cyber physical systems, and other related areas in which cutting edge technologies have been developed and applied to model, design, build and test complex engineering and autonomous systems.
Every JINT issue includes a dedicated section devoted to Unmanned Systems with the aim to be at the forefront of reporting scientific breakthroughs in this highly expanding and challenging area. JINT offers a unique forum and advantage, second to none, because it encourages original contributions referring and related to: unmanned aviation airworthiness; unmanned aviation policies, procedures, and regulations; certification issues; operational constraints; UAS safety, security, and risk analysis assessment; UAS reliability; operational frequency management; legal, ethical and privacy issues, and technology standardization.
JINT lays the foundation for a common framework for publication of ideas, derivation and testing of techniques that combine theory, science, engineering, and mathematics, leading to future innovations and novel technologies. The journal aims at bridging the gap between theory and practice, and intends to stimulate interaction between faculty, researchers, engineers and practitioners from academia, industry and government focusing on theoretical and applied research in all areas of intelligent systems and robotics.
Special Issue on Enhancing Aircraft Control: Advanced Control Techniques in Flight Simulators
Submission Date: 2026-08-30
This collection delves into the application of sliding mode control in flight simulators, renowned for its robustness against uncertainties and nonlinearities. It discusses integrating these techniques into advanced simulation platforms, improving aircraft response fidelity and pilot training effectiveness. Key benefits include enhanced stability, performance, and reliability, alongside addressing challenges in tuning and realistic flight dynamic replication.
Special Issue on AI and Soft Robotics in Agriculture: From Sensing to Harvesting and Beyond
Submission Date: 2026-11-30
This collection, AI and Soft Robotics in Agriculture: From Sensing to Harvesting and Beyond, is multidisciplinary in scope. It brings together research not only in agricultural robotics but also in emerging sensing materials, disease detection, advanced imaging, and “farm of the future” technologies. Beyond robotics and AI, the collection seeks contributions from biological sciences, with a focus on plant phenotyping, diagnostic tools, and sustainable agricultural solutions. What makes this issue special is its integration of robotics, materials science, biology, and industry, fostering cross-disciplinary dialogue to accelerate intelligent technologies for sustainable, resilient farming systems.
This Collection supports and amplifies research related to SDG 15: Life on land.
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