About the Department
The Department of Robotics and Automation Engineering at Angadi Institute of Technology and Management (AITM), Belagavi, is committed to developing skilled engineers capable of driving the future of intelligent automation, robotics, artificial intelligence, smart manufacturing and Industry 4.0 technologies. With a vision to bridge the gap between emerging technologies and industrial requirements, the department provides a dynamic learning environment that integrates strong theoretical foundations with extensive practical exposure, research and innovation.
The department emphasizes outcome-based education, project-oriented learning and experiential training, encouraging students to develop technical competencies, problem-solving abilities, creativity and entrepreneurial skills required to meet evolving industry demands.
Academic Focus and Emerging Technologies
The academic curriculum and departmental activities integrate fundamental engineering principles with emerging technologies, including:
- Robotics and Industrial Automation
- Artificial Intelligence and Machine Learning
- Industrial Internet of Things (IIoT)
- PLC, SCADA and Industrial Control Systems
- Embedded Systems and Smart Sensors
- Mechatronics and Autonomous Systems
- Additive Manufacturing and 3D Printing
- Smart Manufacturing and Industry 4.0
- Industrial Data Networks
Laboratories and Practical Learning
The department promotes hands-on learning through modern laboratory facilities that support practical training, experimentation, project development and research.
Major laboratory and practical learning domains include:
- Robotics and Programming Systems (RPS) Laboratory
- IoT and Embedded Systems Laboratory
- Sensors and Actuators Laboratory
- Additive Manufacturing and 3D Printing Facilities
- Manufacturing and Product Development Facilities
Students are encouraged to utilize laboratory facilities for experimentation, prototype development, innovative projects, technical competitions and interdisciplinary research activities.
Industry Interaction and Skill Development
The department regularly organizes industry-oriented activities to bridge the gap between classroom learning and professional practice. Students receive opportunities to interact with industry experts and gain practical exposure to current industrial technologies.
- Hands-on workshops on IoT, Advanced IoT for Smart Automation, Robotics and emerging technologies.
- Technical talks by eminent academicians, researchers and industry professionals.
- Industrial visits to Ashok Iron Works, Creintors Automation Solutions Pvt. Ltd., GTTC Belagavi, VTU Skill Centre and other industries.
- Internships and industry-based project exposure.
- Technical training in PLC, SCADA, Robotics, Automation and Embedded Systems.
- Expert mentoring and skill development programmes.
- Participation in technical exhibitions, hackathons and project competitions.
Students have benefited from internship and technical exposure opportunities with organizations such as DRDO Bengaluru. The department also facilitates regular industry mentorship and expert interactions with professionals and researchers from premier institutions, including IITs, NITs and DRDO.
Innovation, Entrepreneurship and Student Achievements
The department actively promotes innovation, design thinking, entrepreneurship and multidisciplinary problem-solving through project-based learning, technical competitions and national-level innovation initiatives.
Major achievement: The student team FireGuard Innovators was selected for the prestigious AICTE–Ministry of Education Innovation, Design and Entrepreneurship (IDE) Bootcamp – Edition 3, Phase I, conducted at GITAM University, Bengaluru.
The bootcamp provided students with exposure to:
- Innovation and design thinking.
- Problem identification and solution development.
- Product design and prototyping.
- Entrepreneurship and startup development.
- Innovation-driven project development.
Students also participate in national-level technical competitions, robotics events, project exhibitions, hackathons, cultural events and interdisciplinary innovation programmes.
Student Association – VRUDDHI
The department’s student association, VRUDDHI, provides a platform for students to develop technical knowledge, leadership, teamwork, communication and professional competencies.
Activities organized under VRUDDHI include:
- Technical workshops and hands-on training.
- Expert lectures and technical talks.
- Robotics competitions and project exhibitions.
- Industrial visits and technical interactions.
- Student-led events and collaborative activities.
- Innovation and entrepreneurship initiatives.
International Collaborations and MoUs
The department has established international academic and technological collaborations to facilitate knowledge exchange, technical interaction and exposure to global advancements.
- Dongguk University, Seoul, South Korea
- WEEFA Robotics, Singapore
- Singapore University of Technology and Design (SUTD), Singapore
These collaborations aim to promote academic interaction, skill enhancement, technology exposure and opportunities for collaborative learning and research.
Research and Development
Research and innovation form an integral part of the department’s academic activities. Faculty members actively pursue research in Robotics, Artificial Intelligence, Machine Learning, Additive Manufacturing, Advanced Materials, Tribology, Industrial Automation, Smart Manufacturing and Industry 4.0.
The department encourages quality research through international journal publications, conference proceedings, book chapters, patents, funded projects, consultancy and industry collaborations.
Research Highlights
| Research Contribution | Number |
|---|---|
| International Journal Publications | 17 |
| International Conference Publications | 8 |
| Book Chapters | 3 |
| Patents Granted | 1 |
| Patent Applications Under Process | 2 |
Faculty-wise Journal Publications
Faculty members have published research articles in international journals indexed in SCI/SCIE and Scopus databases.
| Faculty Name | SCI/SCIE Indexed | Scopus Indexed |
|---|---|---|
| Dr. Pooja Angolkar | 6 | 9 |
| Dr. Aravind Muddebihal | 6 | 7 |
| Total Indexing Records | 12 | 16 |
Note: Some publications may be indexed in both SCI/SCIE and Scopus databases. The indexing counts should not be interpreted as unique publication counts.
International Conference Publications
| Year | Title | Faculty | Conference / Publisher |
|---|---|---|---|
| 2025 | Deep Generative Modeling for Unsupervised IoT Intrusion Detection: A VAE-GAN Approach with HDBSCAN Profiling | Dr. Pooja Angolkar | IEEE CICT 2025 – IEEE Xplore |
| 2025 | Predictive Modeling of Wear Behaviour of Ti-8Al-1Mo-1V Aero-Engine Compressor Blade Alloy | Dr. Pooja Angolkar | IBCD 2025 – Springer Nature |
| 2025 | Mechanical Performance of Glass Fiber Epoxy Laminates with Embedded Circular and Square Cutouts | Dr. Aravind Muddebihal | MJMP 2025 – Materials Research Forum |
| 2024 | Triboinformatics Modeling of Additively Manufactured AlSi10Mg Using Machine Learning | Dr. Pooja Angolkar | IEOM 2024 – Hyderabad |
| 2024 | Size Optimization of Self-Healing Microcapsules for FRP Composite 3D Printing | Dr. Aravind Muddebihal | ICMMSE 2024 |
| 2023 | Impact of Heat Treatment on Wear Behaviour of Stainless Steel Printed Using Laser Powder Bed Fusion | Dr. Pooja Angolkar | IEOM 2023 – Houston, USA |
| 2023 | Tribological Properties of Additively Manufactured Al-Si Alloy and Steels | Dr. Pooja Angolkar | AMMA 2023 – Materials Science Forum |
| 2022 | Effect of Build Orientation on the Wear Behaviour of 17-4 PH Stainless Steel Printed Using Laser Powder Bed Fusion | Dr. Pooja Angolkar | IEOM 2022 – Warangal |
Book Chapters
| Year | Chapter Title | Book | Faculty | Publisher |
|---|---|---|---|---|
| 2025 | Challenges and Innovations in 3D Printed Bio-Organs and Their Materials | Springer Tracts in Additive Manufacturing | Dr. Pooja Angolkar |
Springer Nature, Singapore View Publication |
| 2021 | Polymer Matrix Composites Processing and Characterization | Polymer Matrix Composites Processing and Characterization | Dr. Pooja Angolkar | Metro Composites Publishers, India |
Patents and Innovation
| S.No. | Patent Title | Inventors | Patent / Application No. | Year | Status |
|---|---|---|---|---|---|
| 1 | A Kind of Thermal Conductivity Measuring Device for Bad Conductors | Pooja Angolkar, Pratibha Dhammaurapu, C. Sravanti, G. Arun Reddy | 202141045433 | 2021 | Patent Granted |
| 2 | Design and Development of Lab-Scale Industrial Waste FFFP Shredding Machine | Dr. P.S. Shivakumar Gouda, Dr. I. Vinayak Shivanand Uppin, Dr. Aravind B. Muddebihal, and others | 202441008428 A | 2024 | Under Process |
| 3 | Process of Developing Eco-Friendly Nonwoven Natural Fiber Veil | Dr. P.S. Shivakumar Gouda, Dr. I. Vinayak Shivanand Uppin, Dr. Aravind B. Muddebihal, Dr. Abhilash Desai, and others | 202441002474 A | 2024 | Under Process |
Funded Projects and Research Grants
The department actively promotes research through funded projects, sponsored programmes and research proposals supported by agencies such as AICTE, VGST, DST and K-FIST, focusing on Artificial Intelligence, Robotics, Additive Manufacturing and Smart Manufacturing.
Ph.D. Guidance
The department encourages advanced research and doctoral studies. Dr. Pooja Angolkar is actively involved in research guidance.
| Name of the Guide | Qualification | Registered Scholars (2024–25) |
|---|---|---|
| Dr. Pooja Angolkar | Ph.D / M.Sc (Engg) | 2 |
Faculty Expertise and Achievements
The department is supported by qualified and research-oriented faculty members with expertise across robotics, automation, artificial intelligence, advanced manufacturing and engineering technologies.
Dr. Pooja V. Angolkar – Professor & Head
- Ph.D. in Additive Manufacturing and Machine Learning.
- Selected as a Young Science & Technology Leader at ESTIC 2025, New Delhi.
- Completed AICTE-QIP-PG Certificate Programme in Deep Learning at NITK Surathkal.
- Published research papers in SCI/SCIE and Scopus-indexed journals.
- Authored a Springer book chapter.
- Reviewer for reputed international journals, including IEEE and Elsevier publications.
- Delivered expert lectures at ESCI Hyderabad, Trivandrum, Andaman & Nicobar Islands and other academic institutions.
- Research interests include Artificial Intelligence, Machine Learning, Additive Manufacturing, Tribology, Robotics and Smart Manufacturing.
Dr. Aravind Muddebihal – Associate Professor
- Awarded Ph.D. by Visvesvaraya Technological University (VTU).
- Actively involved in research in composite materials, advanced manufacturing and mechanical characterization.
- Contributes to international journal and conference publications.
- Actively involved in student mentoring, research activities and interdisciplinary projects.
Mr. Suneel Nagavi – Assistant Professor
- Completed AICTE-QIP-PG Certificate Programme in Machine Learning at NIT Surat.
- Actively involved in student development activities, technical workshops and industrial interactions.
- Contributes to project mentoring, practical training and academic activities.
Mrs. Shweta Kalkundri – Assistant Professor
- Contributes to teaching and practical learning in Robotics and Automation Engineering.
- Involved in student mentoring, laboratory activities and departmental initiatives.
Career Opportunities
The interdisciplinary nature of Robotics and Automation Engineering opens opportunities across technology-driven sectors such as manufacturing, automotive, aerospace, electronics, healthcare, industrial automation, information technology and research.
Graduates can explore careers as:
- Robotics Engineer
- Automation Engineer
- Industrial Automation Specialist
- PLC and SCADA Engineer
- Artificial Intelligence / Machine Learning Engineer
- IoT Engineer
- Embedded Systems Engineer
- Control Systems Engineer
- Mechatronics Engineer
- Additive Manufacturing Engineer
- Smart Manufacturing Engineer
- Research and Development Engineer
- Robotics Software and Application Developer
Our Commitment
The Department of Robotics and Automation Engineering is committed to creating a vibrant ecosystem of academic excellence, practical learning, research, innovation and industry engagement. Through modern laboratory facilities, experienced faculty, industry mentorship, international collaborations and student-centric activities, the department strives to develop technically competent, innovative and industry-ready engineers capable of contributing to the future of robotics, automation and intelligent manufacturing.
Vision Statement
To provide quality education in Robotics and Automation, enabling students to acquire strong technical knowledge, practical skills, and innovative thinking necessary for their overall growth and professional success.
Mission Statements
M1: Provide quality education in Robotics and Automation with strong domain knowledge and hands-on skills, delivered by qualified faculty in line with the latest technological advancements.
M2: Adopt innovative, student-centered teaching methods to nurture analytical thinking, creativity, and problem-solving abilities.
M3: Create a supportive learning environment that helps students develop professional competence, leadership qualities, ethical values, and a spirit of lifelong learning.
HOD's Message
Our department is committed to nurturing innovative minds and preparing students to meet the challenges of the rapidly evolving world of robotics, automation, and intelligent systems. With a blend of strong academic foundations, hands-on learning, and exposure to the latest technologies, we aim to shape competent engineers who can contribute meaningfully to industry and society.
We emphasize holistic development by integrating technical expertise with creativity, teamwork, and ethical responsibility. Our dedicated faculty members, modern laboratories, and strong industry collaborations provide students with an environment that encourages research, innovation, and entrepreneurship.
The future belongs to those who can merge imagination with technology—and at the Department of Robotics and Automation, we strive to equip our students with the skills, confidence, and vision to become global leaders in this exciting domain.
I welcome you to explore the opportunities that our department offers and be a part of this transformative journey.
Dr. Pooja V. Anagolkar
Professor & HoD- Dept. of Robotics and Automation
Program Outcomes (PSOs)
- PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- PO2: Problem Analysis: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- PO3: 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 public health and safety and cultural, societal, and environmental considerations.
- PO4: Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
- PO5: Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
- PO6: The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to professional engineering practice.
- PO7: Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of the need for sustainable development.
- PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
- PO9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and society at large, including writing effective reports and design documentation, making effective presentations, and giving and receiving clear instructions.
- PO11: Project Management and Finance: Demonstrate knowledge and understanding of 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.
- PO12: Lifelong Learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.
Program Specific Outcomes (PSOs)
- PSO1: Apply the knowledge of robotics, artificial intelligence, machine learning, and control systems to design and improve smart machines capable of solving real-world problems.
- PSO2: Integrate skills in automation, mechatronics, IoT, CAD/CAM, and renewable energy to develop practical and innovative solutions for industry, research, and entrepreneurial ventures.
- PSO3: Develop teamwork, leadership, ethical values, and management abilities to address societal needs and contribute responsibly to the field of robotics and automation.
