BTech in Robotics & Artificial Intelligence

• PSO1. Design the robotic structure for different applications and implementation of control circuits to achieve the desired automation through analytical, logical and problem-solving skills.
• PSO2. Develop software systems for the application of artificial intelligence in robotics.
• PSO3:Apply the knowledge of robotics and Artificial intelligence in the areas of industrial robotics, service robots, exoskeletons, surgical robots, delivery vehicles, autonomous vehicles, and crewless micro aerial vehicles.

• PO1: Engineering knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively, to develop to the solution of complex engineering problems.
• PO2: Problem analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
• PO3: Design/development of solutions:Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost,net zero carbon, culture, society and environment as required. (WK5)
• P04: Conduct investigations of complex problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.(WK8).
• PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling, recognising their limitations to solve complex engineering problems. (WK2 and WK6)
• PO6: The Engineer and The World: Analyse and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7)
• PO7: Ethics:Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
• P08: Individual and Collaborative Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings.
• PO9:Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
• PO10: Project management and finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
• PO11: Life-long learning: Recognize the need for and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

Robotics and Artificial Intelligence Engineering Graduates will be able to

• Demonstrate technical competence in Robotics and Artificial Intelligence and their applications
• Design hardware solutions for robotics application and software solutions for implementation of Artificial Intelligence in Robotics
• Pursue higher studies to carry out research and development in the area of Robotics and Artificial Intelligence
• Engage in lifelong learning, communicate effectively and exhibit leadership skills and demonstrate sensitivity towards professional ethics.

The Department of Robotics and Artificial Intelligence at NMIT, Bengaluru, is equipped with state-of-the-art laboratories designed to provide students with immersive, hands-on experience across various domains of robotics, automation and intelligent systems. These specialized labs support both academic learning and advanced research, aligning with industry standards and emerging technological trends.

This lab focuses on the design, development and programming of autonomous robotic systems. Students work with mobile robots equipped with sensors and navigation systems, learning real-world applications like path planning, obstacle avoidance and SLAM (Simultaneous Localization and Mapping).

In this lab, students explore next-generation robotics through collaborative robotic arms that can safely work alongside humans. With training platforms from leading Cobot manufacturers, students gain experience in human-robot interaction, industrial automation and smart manufacturing processes.

A dedicated creative space that blends Science, Technology, Engineering, Arts and Mathematics (STEAM) using VEX IQ and Tetrix Robotics Kits. This lab fosters early-stage innovation and design thinking, allowing students to build and program robots while understanding the fundamentals of engineering and AI in a playful, project-based environment.

Equipped with Quanser QBot systems, this lab provides a robust platform to study control systems, dynamic modeling and feedback mechanisms. Students perform real-time experiments on mobile robotics platforms integrated with MATLAB/Simulink, enabling simulation-to-hardware validation.

This advanced lab focuses on autonomous vehicle technologies, including computer vision, sensor fusion and AI-based decision making. Students work with scaled self-driving car platforms and simulators, learning how perception and planning algorithms function in real-world driving scenarios.

Built around the Robot Operating System (ROS), this lab equips students with essential tools for programming and integrating modular robotic systems. It supports work in robot perception, autonomous navigation and multi-robot coordination, using ROS-compatible hardware and simulation environments like Gazebo.

This interdisciplinary lab brings together mechanical, electrical and computer engineering elements. It includes setups for:

• Programmable Logic Controllers (PLCs)
• Electro-pneumatic and pneumatic systems
• Industrial sensors and actuators

The lab enables students to understand and implement automation systems commonly used in modern manufacturing and smart factories.

These labs collectively provide a cutting-edge ecosystem that supports the department’s mission of delivering a 100% hands-on learning experience, preparing students for the dynamic and fast-evolving world of Robotics and AI.

Board of Studies (BOS)

Board of examiners (BOE):

Department Undergraduate Committee (DUGC)

Department Advisory Committee (DAC)

Programme Advisory Committee (PAC)

• 2025