Robotics and Artificial Intelligence (Robotics & AI) are closely intertwined fields driving significant advancements across numerous industries. Robotics involves designing, constructing, and operating robots, which are often enhanced by AI to perform complex tasks autonomously. AI, encompassing machine learning, computer vision, natural language processing, and more, equips robots with the ability to learn from data, make decisions, and interact intelligently with their environment. Together, they enable innovations such as autonomous vehicles, industrial automation, healthcare robots, and smart home devices. The integration of robotics and AI is transforming sectors like manufacturing, healthcare, logistics, and service industries by increasing efficiency, improving safety, and enabling new capabilities previously thought to be in the realm of science fiction.
Robotics and Artificial Intelligence combines mechanical hardware, electronic sensors, and artificial intelligence software to create autonomous machines. Key components include machine learning, computer vision, and motion planning. It bridges traditional mechanical design with modern intelligent software systems.
Core Disciplines
- Hardware Systems: Mechanical design, kinematics, dynamics, and actuators that form the physical body of a robot.
- Artificial Intelligence: Machine learning, deep learning, and reinforcement learning that act as the cognitive brain for decision-making.
- Perception: Computer vision, sensor fusion, and SLAM (Simultaneous Localization and Mapping) to interpret environments.
Applications and Careers
- Industries: Manufacturing automation, autonomous vehicles, healthcare surgery assistance, and smart logistics.
- Roles: Robotics engineer, automation specialist, AI developer, and embedded systems programmer
The undergraduate program in Robotics and Artificial Intelligence (Robotics and AI ) was introduced from the academic year 2024-25 and duly approved by the All India Council for Technical Education (AICTE), New Delhi.
Undergraduate Programme:- B.E. in Robotics and artificial intelligence with AICTE Approved Intake - 60
- M.Tech. in Robotics and artificial intelligence with AICTE Approved Intake - 18
Vision
To be a center of excellence in Robotics and Artificial Intelligence by imparting quality education, promoting innovative research, and developing ethical, industry-ready professionals who create intelligent technologies for sustainable societal development.
Mission
M1: Provide quality education in Robotics and Artificial Intelligence through innovative teaching, practical learning, and interdisciplinary knowledge.
M2: Promote research, innovation, and industry collaboration to develop intelligent robotic systems and AI-driven solutions for societal and industrial needs.
M3: Develop ethically responsible, entrepreneurial, and globally competent graduates with leadership, lifelong learning, and professional excellence.
Program Educational Objectives (PEOs)
- PEO1: Apply Robotics and AI principles to solve engineering and societal problems.
- PEO2: Pursue successful careers, higher education, research, and entrepreneurship in Robotics and AI.
- PEO3: Demonstrate ethical practices, leadership, innovation, and lifelong learning.
Program Specific Outcomes (PSOs)
PSO1: Design and develop intelligent robotic systems using AI, embedded systems, sensing, and control technologies.
PSO2: Develop autonomous and AI-enabled solutions using modern tools for industrial and societal applications.
PSO3: Apply Industry 4.0 technologies and multidisciplinary knowledge to innovate and solve real-world engineering problems.
Programme Outcomes (POs)
- 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)
- PO4: 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 recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
- PO6: The Engineer and The World: Analyze 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)
- PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
- 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 (AI) are among the fastest-growing fields, offering diverse career opportunities across industries such as manufacturing, healthcare, agriculture, transportation, defense, logistics, finance, and smart cities. Graduates can pursue employment, higher education, research, or entrepreneurship.
Career Opportunities
Graduates of Robotics and AI can work in roles such as:
- Robotics Engineer
- AI/ML Engineer
- Computer Vision Engineer
- Automation Engineer
- Embedded Systems Engineer
- Data Scientist
- Robotics Programmer
- IoT Engineer
- Research & Development Engineer
Entrepreneurship Opportunities
Graduates can start ventures in:
- Industrial Automation
- AI Software Solutions
- Robotics System Integration
- Healthcare Robotics
- Agricultural Robotics
- Educational Robotics
- AI & IoT Products
- Robotics Consulting and Services
Higher Education
- Tech./M.S. in Robotics, AI, or Automation
- D. and Research
- Professional Certifications in AI, ML, and Robotics
Employment Sectors
- Manufacturing
- Automotive
- Healthcare
- Aerospace & Defense
- IT & Software
- Agriculture
- Logistics & Warehousing
- Research Organizations
Faculty Members
| Name | Qualification | Designation |
| Dr. K.S. Shanmukh Aradhya | Robotics and Artificial Intelligence | Professor & HOD |
| Dr. Prathibha Ekanthaiah | Robotics and Artificial Intelligence | Asso. Prof. |
Staff Members
| Name | Qualification | Designation |
| Mr. KeerthiKumar K P | B E (M.Tech) | Instructor |
- 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)
- PO4: 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 recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
- PO6: The Engineer and The World: Analyze 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)
- PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
- 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)
- Sahil Kumar received the Best Paper Presentation Award at the International Conference on Modern Trends in Engineering Science and Technology (ICMTEST-2K26) held at Atma Malik Institute of Technology & Research (AMRIT), Maharashtra, for his research paper titled "Gene Expression-Based Leukemia Classification Using Feature Selection and Machine Learning."
- Deepak Sahu (II Semester) secured Second Place at the EHYN Global Hackathon 2026 as a member of Asia Pacific Team 2 for the project "Wetlands in Youth Hands," promoting youth engagement in environmental conservation and sustainable development.
- Deepak Sahu received the CampusCrew 100K Milestone Honor Certificate for his active contributions, leadership, and engagement in a global student community of over 100,000 members.
- Deepak Sahu actively participated in several prestigious national-level competitions, including Comic Collide and Logic Works at NIT Tiruchirappalli, Blueprint 6.0 at IIT Delhi, the Equity Research Challenge at IIT Guwahati, and the NationBuilding Case Study Competition 2026, showcasing excellence in analytical thinking, entrepreneurship, and innovation.
- Deepak Sahu was selected as an IMUN Campus Ambassador and Social Media Marketing Intern, demonstrating leadership, communication, and professional outreach skills.
- Deepak Sahu is an active member of several internationally recognized professional organizations, including COMAP Inc., Institute of Mathematical Statistics (IMS), World Economics Association, New Zealand Mathematical Society, and Manipur Astronomical Society, reflecting his commitment to global academic engagement and interdisciplinary learning.
- Parth Gupta led Team ICNITE to victory at Star Pitch 2.0, organized by E-Cell SMVIT, for developing an Adaptive Fitness Platform, an inclusive digital fitness ecosystem providing personalized workout plans.
- Parth Gupta and Team NEXUS 404 secured a Top 10 position among more than 4,000 teams at Hack $Day Pondy, organized by SMVEC, Puducherry, with their innovative project "Eco Eats," a platform aimed at reducing food wastage through food redistribution.
- Parth Gupta, along with his team, presented "City Stream Labs," a smart traffic management solution, at the Idea Expo organized by E-Cell SMVIT, demonstrating innovation in intelligent transportation systems using on-device processing technology.
The Department of Robotics & AI and Mechanical Engineering, Sir M. Visvesvaraya Institute of Technology, organized an Awareness Workshop on "Entrepreneurship & Innovation as Career Opportunities" on 18th May 2026. The session was delivered by Dr. Praveen Kumar C, Associate Professor, Department of E&EE and Nodal Officer, DLMC, SSAHE, Tumakuru.
The Department organized a three-day Industrial Training Program on Robot Programming, Operations, Software, and Hardware from 4th to 6th May 2026 at the Government Tool Room and Training Centre (GTTC).
3-Day Hands-on Training Program on Industrial Robot Programming
The Department successfully organized a 3-Day Hands-on Training Program on Industrial Robot Programming in collaboration with ABB Robotics and Universal Tech Automation. 
The Robot Programming and Simulation Laboratory provides hands-on training in robot programming, simulation, kinematics, and industrial automation using advanced robotic software and programming tools. Students gain practical experience in robot motion planning, coordinate transformations, workspace analysis, and industrial applications such as welding and cutting, preparing them for careers in robotics, automation, and smart manufacturing.
Innovative Projects
Project 1: Autonomous Obstacle Avoidance Robot
Project Description
The Autonomous Obstacle Avoidance Robot is a mobile robotic system designed to navigate automatically while detecting and avoiding obstacles in its path. The project demonstrates the integration of sensors, embedded controllers, and motor control systems for autonomous navigation.
Project 2: Smart Robotic Arm / Pick and Place Automation System
Project Description
The Smart Robotic Arm project demonstrates the working of a robotic manipulator capable of performing pick-and-place operations. The system replicates industrial robotic applications used in manufacturing and automation industries.
Project 3: Line Following Robot Project Description
The Line Following Robot is an autonomous robot designed to follow a predefined path using sensor-based feedback control. This project introduces students to the fundamentals of autonomous robotic navigation.
