Industrial Robot (IR)

Industrial Robot (IR) publishes high quality research on the latest developments relating to the use of robotic technology, both in the present and future. Industrial Robot (IR) publishes cutting-edge, peer-reviewed research articles, technology reviews and specially commissioned case studies that advance robotic science and engineering. The journal aims to disseminate high-impact research and strategic insights covering all aspects of robotics, automation and intelligent systems in all industries. Industrial Robot's coverage spans, but is not limited to: Advanced manipulation, grasping, and dexterous robotic hands Aerial, underwater, and field robotics Agricultural robotics and their applications AI, machine learning and deep learning for robotics Assistive and rehabilitation robotics Autonomous systems, vehicles and drones Bio-inspired and bio-hybrid robotics Blockchain technologies in industrial robotics Cloud robotics and their applications Collaborative robots and human-robot collaboration Evolutionary and developmental robotics Human-robot interaction and interfaces Intelligent robotics and their applications Mobile, field, and service robotics Modular self-reconfigurable robotics Novel design of robot mechanisms Prosthetics and exoskeletons Reinforcement and imitation learning in robotics Robot dynamics, control and motion planning algorithms Robot ethics, human factors and social impact Robot learning and adaptation Robot reliability and safety Robot vision, perception, and scene understanding Robotics for inspection, maintenance, and repair Robotic manufacturing, assembly, and industrial automation The journal aims to provide its readership with interdisciplinary insights into the complete spectrum of robotics research, connecting theory with impactful applications. Authors are encouraged to highlight the real-world value and potential societal benefits of their innovations.

Industrial Robot (IR) is :-

• International, Peer-Reviewed, Open Access, Refereed, Robotics, Automation, Artificial Intelligence, Machine Learning, Human-Robot Interaction, Mechatronics, Intelligent Systems, Autonomous Systems , Online or Print , Bi-Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0143-991X, E-ISSN: 1758-5791, Established: 1973, Impact Factor: 2.5
• Provides Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE