Academic Journal
Q1International Journal of Robotics Research
About International Journal of Robotics Research
International Journal of Robotics Research is a scholarly journal published by SAGE Publications Inc.. SCImago 2025 places it in Q1 with an SJR of 2.022 and an H-index of 209.
Its listed coverage is 1982-2026 and its research categories include Applied Mathematics (Q1); Artificial Intelligence (Q1); Control and Systems Engineering (Q1); Electrical and Electronic Engineering (Q1); Mechanical Engineering (Q1); Modeling and Simulation (Q1); Software (Q1). The 2025 dataset reports 159 documents and 1775 citations across the latest three-year reporting window.
International Journal of Robotics Research: Pioneering Robotics Innovation and Research
The International Journal of Robotics Research (IJRR) stands as one of the most esteemed academic platforms in the field of robotics. Founded in 1982, the journal has continually fostered innovation and cutting-edge research across a wide array of topics within the robotics domain. By offering a comprehensive range of scientific papers and research articles, IJRR serves as an essential resource for professionals, academics, and enthusiasts interested in the ever-evolving world of robotics.
A Premier Platform for Robotics Research
As a peer-reviewed journal, the International Journal of Robotics Research focuses on advancing knowledge in the areas of robotic design, control, artificial intelligence, and automation. IJRR covers a variety of subfields, including robotic systems, humanoid robots, mobile robots, robotic perception, manipulation, and multi-robot systems. Through the publication of high-quality articles, it facilitates the exchange of ideas and the discussion of revolutionary advancements within the field.
Key Topics Covered in IJRR
One of the defining characteristics of the International Journal of Robotics Research is the vast range of topics it explores. Researchers and scientists from all over the world contribute their expertise on issues such as:
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Robotic Control and Algorithms: The development of sophisticated control systems and algorithms is vital for the movement, interaction, and precision of robots. This topic delves into areas such as motion planning, kinematics, dynamics, and optimization.
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Robot Perception and Sensing: Robots must be able to perceive their environment accurately to perform tasks effectively. The journal publishes research on the development of sensors, computer vision, and machine learning to enable robots to interpret sensory data.
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Human-Robot Interaction (HRI): Understanding how robots can interact with humans in a safe, intuitive, and productive way is a rapidly growing field. IJRR frequently publishes studies that examine how robots can assist in daily life and industrial applications while ensuring safety and reliability.
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Autonomous Systems: From drones to self-driving cars, autonomous robots are revolutionizing numerous industries. The journal explores research focused on making robots capable of decision-making, autonomy, and adaptability.
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Robotics in Manufacturing and Industry: The application of robotics in manufacturing, automation, and assembly lines continues to grow. IJRR shares groundbreaking research that highlights the integration of robotic systems into industrial processes.
Why Publish in the International Journal of Robotics Research?
The International Journal of Robotics Research offers researchers the opportunity to have their work reviewed by experts in the field and published in a journal with a global reach. With a strong reputation for quality and innovation, IJRR has become a leading journal for cutting-edge research in robotics. Publishing in IJRR helps researchers gain exposure in the international academic community, foster collaborations, and contribute to the broader advancement of robotics technology.
Additionally, the journal provides a platform for young researchers and emerging scientists to showcase their work alongside established leaders in the field, making it an invaluable resource for both veteran academics and up-and-coming robotics experts.
Journal Metrics
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Aims & Scope
Scope of the International Journal of Robotics Research
The International Journal of Robotics Research (IJRR) is a leading academic publication dedicated to advancing the field of robotics and automation. As one of the most prestigious journals in the domain, it provides a platform for cutting-edge research in all areas of robotics, offering valuable insights to researchers, engineers, and practitioners globally. The scope of IJRR spans a wide range of topics that push the boundaries of robotic technologies and their applications across various industries. Below is an overview of the primary focus areas covered by the journal.
1. Robotic Systems Design and Development
IJRR publishes research that delves into the design, modeling, and development of robotic systems. This includes both hardware and software components, covering innovations in sensors, actuators, and controllers. The journal emphasizes the integration of multidisciplinary approaches, such as mechatronics, artificial intelligence (AI), and human-robot interaction (HRI), to design robust and efficient robotic systems. Researchers often explore the optimization of robot architectures to enhance performance, adaptability, and cost-effectiveness.
2. Artificial Intelligence and Machine Learning in Robotics
Artificial intelligence and machine learning play a pivotal role in the evolution of robotics. IJRR covers research that focuses on applying AI techniques, such as deep learning, reinforcement learning, and computer vision, to improve robot autonomy and decision-making capabilities. Topics such as intelligent control, motion planning, and perception systems are explored in-depth, with a strong emphasis on developing algorithms that allow robots to learn from their environment and adapt to changing conditions.
3. Robotic Perception and Sensing
Robotic perception involves the ability of a robot to sense and interpret its environment, which is crucial for autonomous operation. IJRR features papers that investigate the latest advancements in sensors, vision systems, and multi-sensory integration. Research in this area often focuses on improving robot capabilities to perceive obstacles, recognize objects, and understand their surroundings in real-time, enabling robots to perform tasks with greater precision and reliability.
4. Robotics in Industry and Manufacturing
Robotics has made a profound impact on various industries, particularly manufacturing, healthcare, and logistics. IJRR publishes articles that explore the application of robotic systems in these industries, highlighting their role in automating repetitive tasks, enhancing productivity, and ensuring quality control. Papers discussing collaborative robots (cobots) that work alongside human operators are particularly relevant, as they provide valuable insights into how robots can complement human workers in industrial settings.
5. Robotic Applications in Healthcare
The healthcare sector has seen an increasing integration of robotic technologies for applications such as surgery, rehabilitation, and assistive devices. IJRR publishes research that investigates the use of robotics in medical diagnostics, minimally invasive surgery, and patient care. Robotics-enabled technologies such as exoskeletons and robotic prosthetics are also key topics, with studies focusing on improving patient outcomes and enabling better quality of life for individuals with disabilities.
6. Robotic Ethics and Safety
As robots become more integrated into society, ethical considerations and safety concerns become paramount. IJRR covers the latest discussions on the ethical implications of robotics, including issues of privacy, job displacement, and the responsibilities of robotic systems. The journal also addresses the safety aspects of human-robot interaction, ensuring that robots operate in a way that minimizes harm to humans and their environment.
7. Future Directions in Robotics
Finally, IJRR serves as a forward-looking publication, encouraging research on emerging technologies and concepts that could shape the future of robotics. Topics include autonomous vehicles, space exploration, swarm robotics, and the intersection of robotics with quantum computing and bioengineering. Papers on the societal impacts of robotics and futuristic visions for intelligent systems are frequently featured, pushing the envelope of what robots can achieve in the coming decades.
Recent Research Articles
Latest publications matched automatically by ISSN.
Commerge: Communication-efficient, robust, and fast LiDAR map merging framework for multi-robot coordination in resource-constrained scenarios
Hogyun Kim, Jiwon Choi, Juwon Kim, Geonmo Yang et al.
2026-09-08 · DOI: 10.1177/02783649261464202Hamilton-Jacobi reachability for hybrid systems: Unified goal-driven control with safety guarantees
Javier Borquez, Shuang Peng, Somil Bansal
2026-09-08 · DOI: 10.1177/02783649261477777Boreas road trip: A multi-sensor autonomous driving dataset on challenging roads
Daniil Lisus, Katya M. Papais, Cedric Le Gentil, Elliot Preston-Krebs et al.
2026-09-07 · DOI: 10.1177/02783649261479362DCReg: Decoupled characterization for efficient degenerate LiDAR registration
Xiangcheng Hu, Xieyuanli Chen, Mingkai Jia, Jin Wu et al.
2026-08-31 · DOI: 10.1177/02783649261465040CLASP: General-purpose clothes manipulation with semantic keypoints
Yuhong Deng, Chao Tang, Cunjun Yu, Linfeng Li et al.
2026-08-18 · DOI: 10.1177/02783649261478649A traffic management system for large and heterogeneous vehicles in narrow industrial environments
Alessandro Bonetti, Silvia Proia, Simone Guidetti, Lorenzo Sabattini et al.
2026-08-07 · DOI: 10.1177/02783649261470035Actuation-constrained control framework for optimal microswarm navigation with swarm stability guarantee
Xiangyu Chu, Yamei Li, Yunxi Tang, Yangmin Li et al.
2026-07-31 · DOI: 10.1177/02783649261462583Towards bridging the gap: Systematic sim-to-real transfer for diverse legged robots
Filip Bjelonic, Fabian Tischhauser, Marco Hutter
2026-07-31 · DOI: 10.1177/02783649261459628BC-ADMM: A parallel decoupled non-convex constrained optimizer for robot applications
Zherong Pan, Kui Wu
2026-07-30 · DOI: 10.1177/02783649261458408Grounding the three-dimensional divergent component of motion: Geometric analysis of contact and dynamic stability and its application to humanoid push recovery
Robert Schuller, George Mesesan, Johannes Englsberger, Christian Ott et al.
2026-07-30 · DOI: 10.1177/02783649261445462Efficient model-based reinforcement learning for robot control via online optimization
Fang Nan, Hao Ma, Qinghua Guan, Josie Hughes et al.
2026-07-30 · DOI: 10.1177/02783649261457560Bridging language and action: A survey of language-conditioned robot manipulation
Xiangtong Yao, Hongkuan Zhou, Oier Mees, Yuan Meng et al.
2026-07-29 · DOI: 10.1177/02783649261468360COMFI: A multimodal industrial human motion dataset for markerless motion capture and collaborative robotics
Kahina Chalabi, Maxime Sabbah, Nicolas Gouget, Mohamed Adjel et al.
2026-07-25 · DOI: 10.1177/02783649261468361Screw-based feature constraint model and degeneracy analysis for robotic state estimation: Theory and experiments
Jiancheng Wang, Chenyuan Cai, Yifei Wang, Yuxiang Li et al.
2026-07-25 · DOI: 10.1177/02783649261463720CC-VPSTO: Chance-Constrained Via-Point-Based Stochastic Trajectory Optimisation for Online Robot Motion Planning Under Uncertainty
Lara Brudermüller, Guillaume O. Berger, Julius Jankowski, Raunak Bhattacharyya et al.
2026-07-16 · DOI: 10.1177/02783649261464639Data-driven soft robot control via adiabatic spectral submanifolds
Roshan S. Kaundinya, John Irvin Alora, Jonas G. Matt, Luis A. Pabon et al.
2026-07-08 · DOI: 10.1177/02783649261461630BIM-Loc: BIM-integrated discrepancy-aware LiDAR-based indoor localization
Yinqiang Zhang, Liang Lu, Yipeng Pan, Maolin Lei et al.
2026-07-06 · DOI: 10.1177/02783649261462593Effects of robotic pelvic guidance and visual feedback designs on upper body seated coordination and sense of agency in virtual reality
Chawin Ophaswongse, Victor Santamaria, Victoria Lent, Sunil K. Agrawal et al.
2026-07-02 · DOI: 10.1177/02783649261461646An efficient beam search algorithm for active perception in mobile robotics
Kaixian Qu, Han Wang, Victor Klemm, Cesar Cadena et al.
2026-06-29 · DOI: 10.1177/027836492614559113D kinematic modeling of a self-reconfigurable wheeled mobile robot for enhancing multimode motion capability
Liang Ding, Huanan Qi, Xinyu Li, Shu Li et al.
2026-06-26 · DOI: 10.1177/02783649261458409Reviews
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April 22, 2025 at 11:19 am
April 22, 2025