About the Robotics & AI COE
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.
Vision & Mission
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.
Promote advanced research in autonomous systems, machine learning, computer vision, and human-robot interaction, delivering impactful solutions for industry and society.
Equip students and professionals with hands-on expertise in robotics and AI through training programs, workshops, certifications, and interdisciplinary learning.
Partner with industries, startups, and government bodies to bridge the gap between academia and real-world applications, enabling technology transfer and innovation.
Encourage innovation-driven entrepreneurship by supporting incubation, prototyping, and startup ecosystems in robotics and AI domains.
Create awareness and outreach programs to popularize robotics and AI, inspiring future generations and supporting societal needs.
Focus Areas
Our interdisciplinary work spans cutting-edge domains — bridging theory with hands-on engineering innovation.
- Autonomous RoboticsDevelopment of intelligent robots capable of operating independently using sensors, control systems, and decision-making algorithms.Examples: self-driving robots, drones, warehouse automation.
- Machine Learning & Deep LearningDesigning systems that can learn from data and improve over time using advanced algorithms.Applications: prediction systems, recommendation engines, fraud detection.
- Computer VisionEnabling machines to interpret and understand visual information from images and videos.Applications: facial recognition, object detection, medical imaging.
- Natural Language Processing (NLP)Allowing machines to understand, interpret, and respond to human language.Applications: chatbots, voice assistants, language translation.
- Internet of Things (IoT) & Smart SystemsIntegration of AI with connected devices to build intelligent environments.Applications: smart homes, smart cities, industrial monitoring.
- Industrial Automation & RoboticsApplying robotics and AI in manufacturing and production systems to improve efficiency and precision.Applications: robotic arms, assembly lines, predictive maintenance.
- Drones & Unmanned SystemsDevelopment and control of aerial, ground, or underwater autonomous systems.Applications: surveillance, delivery systems, agriculture monitoring.
- Human-Robot Interaction (HRI)Designing robots that can safely and effectively interact with humans.Applications: service robots, assistive robots, collaborative robots (cobots).
- AI Ethics & Responsible AIEnsuring AI systems are transparent, fair, secure, and aligned with ethical standards.Focus: bias reduction, data privacy, accountability.
- Innovation, Startups & PrototypingEncouraging development of real-world solutions through rapid prototyping and startup incubation.Focus: product development, entrepreneurship, tech commercialization.
- Data Science & AnalyticsUsing data-driven approaches to extract insights and support intelligent decision-making.Applications: business analytics, healthcare insights, forecasting.
- AI in Domain ApplicationsApplying AI and robotics across industries: Healthcare (diagnostics, robotic surgery), Agriculture (smart farming), Education (adaptive learning systems), Smart cities (traffic management).Cross-domain impact.
Active Research Projects
- Generative AI-Based Framework for High-Quality Medical Imaging
- Verification & Validation in Robotics
- AI-Based Remote Sensing for Environmental Monitoring and Disaster Prediction
- Multi-Task Human Activity Detection and Recognition for Security Surveillance Environment
- Artificial Intelligence Based Precise Disease Detection in Soybean Using Real Time Object Detectors
- AI Chatbot for College Admission & Course Guidance
Lab Facilities & Equipment
- 20 NVIDIA RTX GPU workstations with CUDA 12.x, TensorFlow, PyTorch, OpenCV
- ROS (Robot Operating System) development environment
- 8 autonomous robot platforms (differential drive, humanoid, arm robots)
- Drone fleet (DJI Mini, custom FPV, fixed-wing UAV)
- 3D printing station for custom robot chassis fabrication
- Raspberry Pi, Arduino, NVIDIA Jetson Nano development kits
- Motion capture system for robot kinematics analysis
- Licensed simulation tools: MATLAB/Simulink, Gazebo, Webots
Activities & Achievements
Industry Partners & Collaborations
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.
CoE Coordinators / Lead
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