The B.Tech. in Industrial Automation and Robotics with a Specialisation in Physical AI is designed to prepare engineers to develop, manage, and optimise intelligent systems that operate in the physical world.
As industries evolve through Industry 5.0, autonomous manufacturing, cyber-physical systems, and intelligent automation, the demand for professionals who can integrate artificial intelligence with industrial technologies continues to grow.
Physical AI is an emerging field that enables machines to perceive, reason, adapt, and act in real-world environments. Students gain a multidisciplinary understanding of intelligent manufacturing, robotic automation, machine vision, industrial IoT, sensor technology, and data- driven decision-making.
A curriculum aligned with industry needs in automation, robotics, AI, and smart manufacturing equips students for technology-driven careers.
Participate in expert sessions, workshops, and academic interactions through an IIT immersion experience to enhance research awareness and technical excellence.
Unlock prestigious internships, in-demand certifications, and strong placement support designed to enhance your employability.
Apply concepts to real-world engineering challenges through projects, internships, hackathons, and industry assignments.
Utilise state-of-the-art laboratories and immersive learning environments equipped with the latest engineering technologies. This rich infrastructure fuels your creativity, supports hands-on experimentation, and accelerates your career development.
Design and deploy intelligent robotic systems for autonomous operations in industrial environments.
Develop and optimise automated systems using advanced control and smart manufacturing technologies.
Build intelligent machines capable of perception, reasoning, and autonomous decision-making.
Design control systems that ensure precision, stability, and efficiency in industrial operations.
Develop vision systems for automated inspection, quality control, and industrial monitoring.
Create connected industrial systems using sensors, edge computing, and real-time analytics.
Integrate mechanical, electronic, and computing systems to build advanced automation solutions.
Develop self-operating systems for robotics and mobility in dynamic environments.