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 Applications of UAV's in Precision Agriculture
Submission Date: 2026-07-14

The integration of unmanned aerial vehicles (UAVs) in precision agriculture has transformed the agricultural landscape, providing innovative solutions for monitoring, managing, and optimizing crop production. UAVs offer the capability to collect high-resolution data, enabling farmers and agronomists to make informed decisions based on real-time insights. The application of UAV technology encompasses various functions, including crop scouting, soil analysis, irrigation management, and pest detection, thereby enhancing the efficiency of agricultural practices and promoting sustainable farming.

The significance of UAVs in precision agriculture is underscored by their ability to improve yield, reduce resource waste, and mitigate environmental impacts. Recent advancements have seen the development of sophisticated sensors and imaging technologies that enhance the accuracy of data collection. Additionally, the integration of artificial intelligence and machine learning with UAV data is paving the way for predictive analytics and automated decision-making processes, ultimately leading to increased productivity and sustainability in agricultural systems.

As research in this field progresses, we can anticipate further breakthroughs in UAV technology and its applications in agriculture. Future developments may include more autonomous systems capable of executing complex tasks without human intervention, advanced data analytics for more precise crop management, and improved interoperability with other agricultural technologies. These advancements hold the promise of revolutionizing farming practices and ensuring food security in an increasingly challenging global environment.
⦁ UAV applications for crop monitoring ⦁ Data analytics in precision agriculture ⦁ Autonomous unmanned systems for farming ⦁ Environmental impact assessment using UAVs

This Collection supports and amplifies research related to SDG 2 (Zero Hunger) and SDG 3 (Good Health and Well Being).

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.