International Journal of Robotics Research (IJRR)
Journal Descriptions
The International Journal of Robotics Research (IJRR) is one of the premier scholarly journals in robotics, first published in 1982 and continuing as a highly respected venue for innovative research in robotics and autonomous systems. Published 14 times per year by SAGE Publications, IJRR features high‑impact original research, comprehensive reviews, and rigorous technical contributions that cover all facets of robotics science and engineering. The journal’s subject matter spans robot perception, motion planning, control, manipulation, sensing, human‑robot interaction, learning algorithms, autonomous navigation, and multi‑robot systems. It emphasizes work that not only advances theoretical foundations—such as optimization, probabilistic reasoning, and computational models—but also demonstrates practical application in real‑world robotic systems and challenges. IJRR maintains a rigorous peer‑review process, ensuring that published research meets high standards of quality, novelty, and significance. Its interdisciplinary approach integrates insights from mechanical engineering, electrical engineering, computer science, artificial intelligence, and applied mathematics. The journal serves a global community of researchers, engineers, and scientists, helping to shape the future of robotics across industrial automation, healthcare, service robots, and intelligent autonomous platforms. IJRR’s long history and consistent publication record have solidified its reputation as a leading outlet for transformative research that drives both academic inquiry and technological innovation.
International Journal of Robotics Research (IJRR) is :-
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International, Peer-Reviewed, Open Access, Refereed, Applied Mathematics, Artificial Intelligence, Electrical and Electronic Engineering, Mechanical Engineering, Modelling and Simulation, Software, sensing and actuation, human‑robot interaction, mobile and aerial robotics, manipulation, planning and decision making, machine learning for robotics, electrical, and computer engineering aspects of robots. The journal’s interdisciplinary nature embraces computational methods, mathematical modeling, experimental results , Online or Print , Monthly Journal
- UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0278-3649, E-ISSN: 1741-3176, Established: 1982, Impact Factor: 5.0
- Does Not Provide Crossref DOI
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Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE