A Systematic Review of AI-Powered Autonomous Robots in IoT-Driven Smart Manufacturing and Warehousing

The Internet of Things (IoT), autonomous mobile robots (AMRs), and artificial intelligence (AI) are the three main technologies of Industry 4.0, and they are causing revolutionary changes in contemporary manufacturing and warehousing. AI supports intelligent decision-making and adaptive learning, IoT allows seamless device communication, and AMRs offer mobility and autonomy in industrial environments. The integration of various technologies is examined in this systematic review, with an emphasis on applications, enabling mechanisms, and new problems. 685 entries were obtained from six major databases using an approach guided by PRISMA 2020; 105 studies were included following screening and duplication removal. According to research, AI-powered AMRs in IoT-enabled cyber-physical systems increase industrial productivity by facilitating better human–robot collaboration, real-time decision-making, logistics automation, and predictive maintenance. Risks to cybersecurity, a lack of industrial validation, and deployment ethics are some of the main obstacles. While hybrid AI implementations are still uncommon, comparative study shows that deep learning performs very well in perception tasks and reinforcement learning facilitates adaptive control in the face of uncertainty. This underscores the potential for integrated industrial solutions. The first comprehensive synthesis of AI, IoT, and robotics integration is presented in this review, which also offers a research agenda and practical ideas for creating safe, sustainable, and human-centered robotic ecosystems as enterprises move toward Industry 5.0.