0831-2438100/123 info@aitmbgm.ac.in

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, smart manufacturing, robotics, artificial intelligence, and Industry 4.0 technologies. Established with a vision to bridge the gap between emerging technologies and industrial requirements, the department provides a dynamic learning environment that combines strong theoretical foundations with extensive practical exposure.

The department offers a curriculum that integrates Robotics, Automation, Industrial IoT, Artificial Intelligence, Machine Learning, Embedded Systems, PLC & SCADA, Control Systems, Mechatronics, Smart Manufacturing, and Autonomous Systems. Through outcome-based education and project-oriented learning, students are encouraged to develop innovative solutions to real-world engineering challenges.

A key strength of the department is its emphasis on experiential learning. Students actively participate in hands-on workshops, technical training programs, industrial visits, internships, hackathons, project exhibitions, and innovation-driven activities. The department has successfully organized workshops on IoT Fundamentals, Advanced IoT for Smart Automation, technical talks by eminent academicians and industry experts, and various skill development programs aimed at enhancing industry readiness.

The department maintains strong industry and research linkages to provide students with exposure to current technologies and professional practices. Students have undergone internships and mentorship programs with organizations such as DRDO Bengaluru and have benefited from regular interactions with experts from premier institutions including IITs, NITs, and leading industries. Industrial visits to organizations such as Ashok Iron Works, GTTC Belagavi, VTU Skill Centre, and other manufacturing industries provide valuable insights into industrial automation and production systems.

The department is actively engaged in promoting innovation, entrepreneurship, and research culture among students. A notable achievement includes the selection of the student team “FireGuard Innovators” for the prestigious AICTE–Ministry of Education Innovation, Design and Entrepreneurship (IDE) Bootcamp at GITAM University, Bengaluru, where students received advanced training in innovation, design thinking, startup development, and entrepreneurship. Students also participate in national-level competitions, technical events, project-based learning activities, and interdisciplinary innovation programs.

Research and development form an integral part of the department’s activities. Faculty members are actively involved in advanced research areas such as Robotics, Artificial Intelligence, Machine Learning, Additive Manufacturing, Industrial Automation, Smart Manufacturing, and Industry 4.0 technologies. The department has contributed to SCI and Scopus-indexed publications, book chapters, funded projects, and collaborative research initiatives. Faculty members regularly deliver expert lectures, participate in faculty development programs, and engage in consultancy and technical knowledge-sharing activities.

The department has established international academic collaborations through Memoranda of Understanding (MoUs) with WEEFA Robotics, Singapore, and the Singapore University of Technology and Design (SUTD). These collaborations provide opportunities for academic interaction, skill enhancement programs, knowledge exchange, and exposure to global technological advancements.

To foster leadership, technical excellence, and professional development, the department actively conducts programs under its student association, VRUDDHI. The association serves as a platform for technical events, competitions, expert lectures, workshops, industrial interactions, and student-led initiatives that promote teamwork, innovation, and lifelong learning.

The department is equipped with modern laboratories that support practical learning and project development in Robotics, Automation, IoT, Embedded Systems, Control Engineering, Manufacturing Processes, and related domains. Students are encouraged to utilize laboratory facilities for experimentation, research activities, product development, and participation in national-level competitions.

With a strong focus on academic excellence, industry engagement, innovation, research, and skill development, the Department of Robotics and Automation Engineering strives to produce competent engineers capable of contributing to the rapidly evolving technological landscape. The department remains committed to nurturing future-ready professionals who can lead advancements in robotics, automation, intelligent systems, and smart manufacturing on both national and global platforms.

#Research, Publications and Faculty Expertise##

The Department of Robotics and Automation Engineering actively promotes a strong research culture among faculty and students, focusing on emerging areas such as Robotics, Artificial Intelligence, Machine Learning, Additive Manufacturing, Industrial Automation, Internet of Things (IoT), Smart Manufacturing, Industry 4.0, and Advanced Materials Engineering. Faculty members are engaged in interdisciplinary research, consultancy activities, funded projects, technical collaborations, and innovation-driven initiatives that address real-world industrial challenges.

The department has made significant contributions to research through publications in reputed SCI and Scopus-indexed journals, conference proceedings, book chapters, and patent-oriented research activities. Faculty members regularly participate in national and international conferences, Faculty Development Programs (FDPs), workshops, and technical seminars to remain at the forefront of technological advancements.

### Faculty Achievements and Expertise

**Dr. Pooja V. Angolkar, Professor & Head**

* Young Science & Technology Leader Awardee at ESTIC-2025.
* Successfully completed Postdoctoral Research at DRDO.
* AICTE-QIP-PG Certified in Deep Learning from NITK Surathkal.
* Delivered expert lectures at ESCI Hyderabad, Trivandrum, Andaman & Nicobar Islands, and various academic institutions.
* Research interests include Artificial Intelligence, Machine Learning, Additive Manufacturing, Robotics, Industry 4.0, and Smart Manufacturing.
* Published research papers in SCI and Scopus-indexed journals and authored a Springer book chapter.
* Reviewer for reputed international journals including IEEE and Elsevier publications.

**Dr. Aravind Muddebhihal, Associate Professor**

* Awarded Ph.D. from Visvesvaraya Technological University (VTU).
* Actively involved in research, academic development, and technical mentoring.
* Contributes to departmental research and student project activities.

**Mr. Suneel Nagavi, Assistant Professor**

* Successfully completed AICTE-QIP-PG Certificate Programme in Machine Learning from NIT Surat.
* Coordinator of various student development activities, technical workshops, and industrial interactions.
* Actively involved in skill development programs and project mentoring.

The department continuously encourages faculty and students to undertake innovative projects, publish quality research, participate in technical competitions, and collaborate with industries and research organizations. Through its research ecosystem, international collaborations, and industry partnerships, the department strives to create impactful technological solutions and contribute to advancements in robotics and automation engineering.## Research, Publications and Faculty Expertise

The Department of Robotics and Automation Engineering actively promotes a strong research culture among faculty and students, focusing on emerging areas such as Robotics, Artificial Intelligence, Machine Learning, Additive Manufacturing, Industrial Automation, Internet of Things (IoT), Smart Manufacturing, Industry 4.0, and Advanced Materials Engineering. Faculty members are engaged in interdisciplinary research, consultancy activities, funded projects, technical collaborations, and innovation-driven initiatives that address real-world industrial challenges.

The department has made significant contributions to research through publications in reputed SCI and Scopus-indexed journals, conference proceedings, book chapters, and patent-oriented research activities. Faculty members regularly participate in national and international conferences, Faculty Development Programs (FDPs), workshops, and technical seminars to remain at the forefront of technological advancements.

### Faculty Achievements and Expertise

**Dr. Pooja V. Angolkar, Professor & Head**

* Young Science & Technology Leader Awardee at ESTIC-2025.
* Successfully completed Postdoctoral Research at DRDO.
* AICTE-QIP-PG Certified in Deep Learning from NITK Surathkal.
* Delivered expert lectures at ESCI Hyderabad, Trivandrum, Andaman & Nicobar Islands, and various academic institutions.
* Research interests include Artificial Intelligence, Machine Learning, Additive Manufacturing, Robotics, Industry 4.0, and Smart Manufacturing.
* Published research papers in SCI and Scopus-indexed journals and authored a Springer book chapter.
* Reviewer for reputed international journals including IEEE and Elsevier publications.

**Dr. Aravind Muddebhihal, Associate Professor**

* Awarded Ph.D. from Visvesvaraya Technological University (VTU).
* Actively involved in research, academic development, and technical mentoring.
* Contributes to departmental research and student project activities.

**Mr. Suneel Nagavi, Assistant Professor**

* Successfully completed AICTE-QIP-PG Certificate Programme in Machine Learning from NIT Surat.
* Coordinator of various student development activities, technical workshops, and industrial interactions.
* Actively involved in skill development programs and project mentoring.

The department continuously encourages faculty and students to undertake innovative projects, publish quality research, participate in technical competitions, and collaborate with industries and research organizations. Through its research ecosystem, international collaborations, and industry partnerships, the department strives to create impactful technological solutions and contribute to advancements in robotics and automation engineering.

The Department of Robotics and Automation Engineering actively promotes a strong research culture among faculty and students, focusing on emerging areas such as Robotics, Artificial Intelligence, Machine Learning, Additive Manufacturing, Industrial Automation, Internet of Things (IoT), Smart Manufacturing, Industry 4.0, and Advanced Materials Engineering. Faculty members are engaged in interdisciplinary research, consultancy activities, funded projects, technical collaborations, and innovation-driven initiatives that address real-world industrial challenges.

The department has made significant contributions to research through publications in reputed SCI and Scopus-indexed journals, conference proceedings, book chapters, and patent-oriented research activities. Faculty members regularly participate in national and international conferences, Faculty Development Programs (FDPs), workshops, and technical seminars to remain at the forefront of technological advancements.

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.

CONTACT US

Angadi Institute of Technology Management
Dr. Suresh C. Angadi Marg, Savagaon Road, Belgaum,
Karnataka 590009

Phone :
0831 243 8123/100

Email Id :
info@aitmbgm.ac.in