Department of Robotics and Autonomous Systems

R & AI

Department of Robotics and Autonomous Systems

The Department of Robotics and Autonomous Systems has been established with the vision of nurturing future-ready engineers, innovators, and researchers who will lead the development of next-generation AI-powered autonomous systems. The department provides a multidisciplinary learning environment where robotics, artificial intelligence, automation, and data-driven technologies converge to create innovative solutions for real-world challenges through a strong foundation in engineering principles, cutting-edge technologies, and hands-on learning experiences.

Committed to advancing the frontiers of robotics, artificial intelligence, and autonomous systems, the department serves as a catalyst for innovation, entrepreneurship, and societal impact. Students are empowered to develop cutting-edge solutions and transformative technologies for sectors including healthcare, manufacturing, agriculture, transportation, defense, and smart cities. Through a culture of continuous learning, ethical AI innovation, interdisciplinary research, and global collaboration, the department nurtures professionals equipped not only with advanced technical expertise but also with the vision, creativity, and leadership required to contribute meaningfully to the rapidly evolving landscape of Industry X.0 and the autonomous intelligent systems of the future.



Distinctive Features of the PSG iTech - R & AI Program

  • Early Immersion in Robotics and AI: Students are introduced to Robotics and Artificial Intelligence from the very first year through dedicated theory and laboratory courses. This unique early exposure cultivates curiosity, builds practical competencies, and establishes a strong technical foundation for advanced learning.
  • Focus on Physical AI: The curriculum goes beyond conventional AI by emphasizing the seamless integration of Artificial Intelligence with robotic systems, often referred to as Physical AI. Students gain hands-on experience in developing intelligent machines that can perceive, learn, make decisions, and interact effectively with the physical world.
  • Experiential and Industry-Oriented Learning: Through project-based learning, state-of-the-art laboratories, innovation challenges, and industry engagement, students acquire the skills required to design, build, and deploy next-generation autonomous and intelligent systems.
  • Future-Ready Skill Development: The programme equips students with expertise in robotics, machine learning, computer vision, embedded systems, autonomous technologies, and intelligent control, preparing them for emerging careers in Industry 5.0 and beyond.
  • Innovation and Entrepreneurship Ecosystem: Students are encouraged to transform ideas into impactful solutions through research, interdisciplinary collaboration, product development, and startup-oriented initiatives, fostering a culture of innovation and technological leadership.


Programs Offered

B.E. - R & AI

The B.E-R&AI program, introduced from the academic year 2026–27, is designed to address the growing demand for skilled professionals in the fields of robotics, artificial intelligence, automation, and advanced computing.

The program fosters curiosity, creativity, critical thinking, and problem-solving skills. It aims to equip students with the knowledge and expertise required to design, develop, and deploy intelligent systems that contribute to technological advancement and societal progress.

The curriculum blends strong theoretical foundations with experiential learning in areas such as machine learning, deep learning, computer vision, autonomous systems, human–robot interaction, intelligent control systems, and embedded technologies.

State-of-the-art laboratories, project-based learning, research initiatives, and industry collaborations enable students to transform ideas into functional prototypes and scalable solutions. Inspired by international best practices in engineering education and research, the department encourages students to engage in interdisciplinary projects, innovation challenges, startup development, and cutting-edge technological exploration.


Vision

To create a vibrant ecosystem of innovators in Robotics and Artificial Intelligence by designing transformative learning experiences that empower students to ethically solve complex global challenges and serve industry and society.

Mission

  • To provide rigorous education and cutting-edge research opportunities in Robotics and Artificial Intelligence that nurture globally competent professionals.
  • To promote creative thinking, multidisciplinary collaboration, and a strong questioning spirit through experiential learning and real-world projects.
  • To foster innovation, entrepreneurship, and industry–institute partnerships for technological advancement and societal impact.
  • To cultivate ethical values, sustainability consciousness, and a self-driven learning spirit in emerging technologists.

Programme Educational Objectives (PEOs)

  • PEO1 - Innovation and Impact : Graduates will architect and implement intelligent robotic systems and AI-driven solutions that enhance industrial productivity, improve quality of life, and address emerging global needs.
  • PEO2 - Career Advancement and Expertise : Graduates will establish themselves as competent professionals, researchers, or entrepreneurs by continuously upgrading their technical expertise in rapidly evolving intelligent technologies.
  • PEO3 - Leadership in Multidisciplinary Environments : Graduates will excel in diverse professional settings by demonstrating collaborative spirit, effective communication, project leadership, and sound decision-making abilities.
  • PEO4 - Ethical and Sustainable Practice: Graduates will uphold integrity, social responsibility, and sustainability principles while developing and deploying autonomous and intelligent systems.

Programme Specific Objectives (PSOs)

  • PSO1 - Robotics and AI System Development : Graduates will be able to design, develop, and implement robotics and artificial intelligence solutions by applying principles of sensing, embedded systems, programming, machine learning, and intelligent control to address engineering problems.
  • PSO2 - Intelligent and Autonomous Systems Engineering: Graduates will be able to analyze, integrate, and evaluate autonomous robotic systems using modern tools and techniques in computer vision, data analytics, optimization, and human–machine interaction for industrial and societal applications.