Important Documents For Admission (2025 - 2026)
| Degree Awarded | Discipline | Duration | Entry Level | Seats in IIST |
| B.Tech | RAI | 4 years | 10+2 | 30 |
Indore Institute of Science and Technology (IIST) offers a four-year undergraduate B. Tech Robotics and Artificial Intelligence course. The program aims to provide students with the comprehensive knowledge and skills needed to innovate, design, and implement advanced robotic systems and AI solutions while emphasising ethical considerations and real-world applications.
The BTech in Robotics and Artificial Intelligence is a comprehensive program designed to equip students with the knowledge and skills necessary to excel in the rapidly evolving fields of robotics and AI. The curriculum focuses on fundamental principles such as kinematics, dynamics, and control systems, essential for understanding robot behaviour and mechanics. Students delve into artificial intelligence and machine learning, exploring algorithms, deep learning, and ethical considerations. Sensing and perception modules cover computer vision, sensor fusion, and signal processing, enabling robots to interpret and interact with their environment effectively. Human-robot interaction (HRI) emphasises designing user interfaces and collaborative robots (cobots) that can safely and efficiently work alongside humans. The program also covers autonomous systems, including navigation, path planning, and self-driving technologies, ensuring students are adept at developing advanced autonomous solutions. Embedded systems and real-time computing are integral to the curriculum, focusing on programming microcontrollers, real-time processing, and hardware-software integration. Control and optimisation techniques are taught to enhance the efficiency and adaptability of robotic systems, often drawing inspiration from biological systems.
The program also addresses the ethical and safety implications of deploying AI and robotic systems, ensuring graduates are well-versed in regulatory compliance and safety protocols. Additionally, robotics software development, including Robot Operating System (ROS) and simulation tools, is emphasised to provide students with practical skills in developing robust robotic applications. Finally, the program explores various applications of robotics and AI, such as healthcare robotics, industrial automation, and service robotics, preparing students to innovate and make significant contributions across diverse sectors.
The Department of Robotics and Artificial Intelligence was established in 2025 and currently offers a Bachelor of Technology (B.Tech) program with an intake capacity of 30 students. The program is affiliated with Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal, and is approved by the All India Council for Technical Education (AICTE).
The department is committed to achieving academic excellence, cutting-edge research, and industry-oriented innovation. It actively engages in collaborative research, consultancy projects, and skill development initiatives to address real-world challenges and contribute to societal advancements in robotics and artificial intelligence.
Proposed Vision, Mission, Program Objectives, Program Educational Objectives, Program Specific Outcome and Program Outcome for Robotics and Artificial Intelligence in Internal Quality Assurance Cell Review Meeting
To be a globally recognized centre of excellence in Robotics and Artificial Intelligence, fostering innovation, research, and technological advancements to solve real-world challenges and contribute to sustainable societal development.
Graduates of the B.Tech in Robotics and Artificial Intelligence program will:
Graduates of the B.Tech in Robotics and Artificial Intelligence program will be able to:
-Apply robotics engineering principles, AI algorithms, and automation techniques to design, develop, and optimize intelligent robotic systems for diverse applications such as manufacturing, healthcare, defense, and smart cities.
-Utilize machine learning, deep learning, computer vision, and natural language processing (NLP) to develop AI-driven autonomous systems that can perceive, learn, and adapt to dynamic environments.
Develop and implement embedded systems, real-time control mechanisms, and IoT- enabled robotics solutions for autonomous navigation, industrial automation, and human-robot collaboration.
-Design and implement robotic control algorithms, sensor fusion techniques, and human-robot interaction (HRI) models to enhance safety, efficiency, and adaptability in intelligent automation systems.
– Analyze and address ethical, legal, and societal implications of AI-driven robotics solutions, ensuring the responsible deployment of technology in various sectors while adhering to safety and sustainability standards.
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Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
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Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
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Design/Development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations. |
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Conduct Investigations of Complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. |
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Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. |
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The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice. |
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Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. |
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Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
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Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
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Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. |
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Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. |
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Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. |