Shri Sidddharameshwar Education Trust
S.G.Balekundri Institute of Technology
Approved by AICTE | Affiliated to VTU | NBA Accredited
Shri Sidddharameshwar Education Trust
Approved by AICTE | Affiliated to VTU | NBA Accredited
Advancing intelligent automation, computer vision, and human-robot collaboration at SGBIT
Established with a vision to lead innovation in autonomous systems and intelligent computing, the COE in Robotics & AI equips students and researchers with hands-on expertise in cutting-edge technologies that are reshaping industries worldwide.
Vision:
To become a global leader in robotics and artificial intelligence innovation, fostering cutting-edge research, industry collaboration, and talent development to solve real-world challenges and drive sustainable technological advancement.
Mission:
M1: Research & Innovation: Promote advanced research in key areas such as autonomous systems, machine learning, computer vision, and human-robot interaction, delivering impactful solutions for industry and society.
M2: Skill Development: Equip students and professionals with hands-on expertise in robotics and AI through training programs, workshops, certifications, and interdisciplinary learning.
M3: Industry Collaboration: Partner with industries, startups, and government bodies to bridge the gap between academia and real-world applications, enabling technology transfer and innovation.
M4: Entrepreneurship & Startups: Encourage innovation-driven entrepreneurship by supporting incubation, prototyping, and startup ecosystems in robotics and AI domains.
M5: Community Engagement: Create awareness and outreach programs to popularize robotics and AI, inspiring future generations and supporting societal needs.
The Robotics and Artificial Intelligence Center of Excellence (CoE) is a dedicated hub for advancing innovation, research, and skill development in the rapidly evolving fields of robotics and AI. It serves as a collaborative platform where students, researchers, industry experts, and innovators come together to design, develop, and deploy intelligent systems that address real-world challenges.
The CoE focuses on key domains such as machine learning, deep learning, autonomous robotics, computer vision, natural language processing, and IoT-enabled intelligent systems. By integrating theoretical knowledge with hands-on experience, the center aims to create industry-ready professionals equipped with future-ready skills.
With state-of-the-art laboratories, advanced tools, and interdisciplinary projects, the CoE fosters a culture of innovation and problem-solving. It actively collaborates with industries, startups, and research organizations to bridge the gap between academia and practical applications.
The center also promotes entrepreneurship and incubation, encouraging students and researchers to transform their ideas into viable products and startups. Additionally, it emphasizes ethical AI practices, ensuring that technological advancements contribute positively to society.
Through workshops, hackathons, research initiatives, and outreach programs, the Robotics and AI CoE strives to become a driving force in shaping the future of intelligent automation and digital transformation
Our interdisciplinary research spans cutting-edge domains — combining theory with hands-on innovation.
1. Autonomous Robotics
Development of intelligent robots capable of operating independently using sensors, control systems, and decision-making algorithms.
Examples: self-driving robots, drones, warehouse automation.
2. Machine Learning & Deep Learning
Designing systems that can learn from data and improve over time using advanced algorithms.
Applications: prediction systems, recommendation engines, fraud detection.
3. Computer Vision
Enabling machines to interpret and understand visual information from images and videos.
Applications: facial recognition, object detection, medical imaging.
4. Natural Language Processing (NLP)
Allowing machines to understand, interpret, and respond to human language.
Applications: chatbots, voice assistants, language translation.
5. Internet of Things (IoT) & Smart Systems
Integration of AI with connected devices to build intelligent environments.
Applications: smart homes, smart cities, industrial monitoring.
6. Industrial Automation & Robotics
Applying robotics and AI in manufacturing and production systems to improve efficiency and precision.
Applications: robotic arms, assembly lines, predictive maintenance.
7. Drones & Unmanned Systems
Development and control of aerial, ground, or underwater autonomous systems.
Applications: surveillance, delivery systems, agriculture monitoring.
8. Human–Robot Interaction (HRI)
Designing robots that can safely and effectively interact with humans.
Applications: service robots, assistive robots, collaborative robots (cobots).
9. AI Ethics & Responsible AI
Ensuring AI systems are transparent, fair, secure, and aligned with ethical standards.
Focus: bias reduction, data privacy, accountability.
10. Innovation, Startups & Prototyping
Encouraging the development of real-world solutions through rapid prototyping and startup incubation.
Focus: product development, entrepreneurship, tech commercialization.
11. Data Science & Analytics
Using data-driven approaches to extract insights and support intelligent decision-making.
Applications: business analytics, healthcare insights, forecasting.
12. AI in Domain Applications
Applying AI and robotics across industries such as:
Smart cities (traffic management)
Milestones, competitions, collaborations, and community impact from our COE.
The COE maintains active partnerships with leading technology organizations: Bosch (industrial automation), KPIT Technologies (automotive AI), L&T Technology Services (embedded systems), ISRO (aerospace robotics), and local MSMEs through the Karnataka government's Industry-Academia cell.
Partners provide live project mandates, internship slots, equipment sponsorships, and guest lectures — ensuring curriculum relevance to current industry standards.
SGBIT team secured runner-up at the national-level robotics contest, Bengaluru.
Annual symposium showcasing cutting-edge AI/ML projects by students and faculty.
Joint research on automated defect detection using deep learning vision systems.
Dr. Sidramayya Swamy Matad holds a Ph.D. in Robotics from SGBIT and brings over 14 years of academic and industry research experience. She has published 22 papers in IEEE and Springer journals and holds 3 patents in autonomous navigation systems.
Her research spans computer vision, embedded AI, and human-robot collaboration. Under her guidance, SGBIT students have won national robotics championships and completed funded research projects with ISRO and DRDO.
"The future belongs to those who build intelligent machines that serve humanity — and that future starts right here, in our labs."
Connect with our Robotics & AI COE for collaborations, internships, student projects, and cutting-edge research.