The Department of Robotics & Artificial Intelligence at BGS Institute of Technology (BGSIT), established under Adichunchanagiri University, addresses the surging global demand for engineers who can bridge the perception-action paradigm — professionals capable of designing intelligent machines that sense, decide, and operate autonomously in complex physical environments.
Grounded in the principles of embodied intelligence and mechatronic synthesis, this new-generation programme integrates core robotics disciplines — kinematics, control theory, sensor fusion — with contemporary AI methodologies including deep reinforcement learning, computer vision, and natural language understanding. Students gain hands-on proficiency with the Robot Operating System (ROS), embedded microcontrollers, and industrial-grade simulation platforms from the early semesters.
The department fosters a research-oriented culture through active collaboration with industry partners, interdisciplinary project work, and participation in national robotics competitions, ensuring graduates emerge as versatile engineers ready to advance the frontier of autonomous cognition and intelligent automation.
A close-up view of the department — the Head of Department’s message, industry partnerships, laboratory infrastructure and ongoing academic activity.
Welcome to the Department of Robotics and Artificial Intelligence (RAI).
The Department of Robotics and Artificial Intelligence is committed to nurturing the next generation of engineers, innovators and researchers equipped with the knowledge and skills required for the rapidly evolving world of intelligent technologies.
Our academic focus encompasses Artificial Intelligence, Machine Learning, Robotics, ROS, Computer Vision, Sensors and Actuators, Automation, MATLAB and emerging intelligent systems. We emphasize a balanced approach to theoretical knowledge, hands-on learning, industry interaction, research and innovation.
As a department, we strive to create opportunities for students to participate in projects, internships, NPTEL and other certification courses, technical activities, industry collaborations and research initiatives. Our goal is to develop graduates who are technically competent, innovative, adaptable and ready to contribute to both industry and society.
With the collective efforts of our faculty, students and industry partners, we envision establishing RAI as a centre of excellence in robotics, artificial intelligence and intelligent automation.
I warmly invite students, parents, industry professionals and academic collaborators to be part of our journey towards building a future driven by intelligent technology and innovation.
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Labs support the theory curriculum with hands-on practice, small-group demonstrations and project work. Specific equipment & scheduling is shared with enrolled students each semester.
Eligibility Criteria
Path planning, simultaneous localisation and mapping (SLAM), obstacle avoidance, and multi-robot coordination for mobile and aerial platforms operating in unstructured environments.
Autonomous SystemsVisual perception pipelines for robotic systems — depth estimation, semantic segmentation, object tracking, and 3D scene reconstruction enabling machines to interpret their surroundings in real time.
PerceptionROS 2 middleware architecture, node communication, sensor drivers, Gazebo simulation, and building modular robotic software stacks for rapid prototyping and deployment.
ROSMicrocontroller programming, real-time operating systems, sensor interfacing, edge computing, and Internet-of-Things architectures for connected robotic ecosystems.
Embedded AIDeep reinforcement learning, imitation learning, sim-to-real transfer, and neural policy optimisation for teaching robotic agents to master complex manipulation and locomotion tasks.
ML & RoboticsNatural language interfaces, gesture recognition, social robotics, collaborative workspace safety, and designing intuitive interaction paradigms between humans and intelligent machines.
HRITo develop innovative robotic systems integrated with artificial intelligence for sustainable technological advancement and societal benefit.
Programme Educational Objectives (PEOs)
Programme Specific Outcomes (PSOs)
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Download the latest ACU scheme syllabus for the Robotics & AI programme. All curricula are updated to the current academic scheme.
BGSIT's dedicated Placement Cell maintains active relationships with 100+ industry partners, offering structured internship programmes, pre-placement training, and direct campus recruitment drives. The Robotics & AI department benefits from the accelerating industry demand for engineers who can design, programme, and deploy intelligent autonomous systems across manufacturing, logistics, healthcare, and defence sectors.
Graduates with expertise in the perception-action paradigm — combining embedded systems proficiency with AI-driven decision-making — are among the most sought-after engineering professionals. Top recruiters include global technology leaders, robotics startups, and advanced manufacturing firms seeking talent in autonomous navigation, computer vision, and mechatronic synthesis.
A B.E. Robotics & Artificial Intelligence from BGSIT opens doors to a wide spectrum of high-growth roles at the intersection of embodied intelligence and autonomous systems: