Adichunchanagiri University
Robotics &
Artificial Intelligence
Pioneering the convergence of robotics, autonomous systems, and artificial intelligence. A forward-looking B.E. programme preparing graduates to design intelligent machines that perceive, reason, and act in the physical world.
About the Department

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.

  • AICTE-Approved B.E. Robotics & Artificial Intelligence
  • Established under Adichunchanagiri University (ACU)
  • Annual intake of 60 students
  • Dedicated Robotics Programming & Autonomous Systems labs
  • 86% average placement rate across BGSIT programmes
  • Focus areas: Autonomous Navigation, Computer Vision, ROS, Embedded AI
  • Industry partnerships with robotics and automation leaders
  • Project-based learning with real robotic platforms from Semester 1
Course Details & Eligibility
Programme Bachelor of Engineering (B.E.)
Specialisation Robotics & Artificial Intelligence
Duration 4 Years (8 Semesters)
Annual Intake 60 Students
Eligibility 10+2 PCM / PCMB · Min 45%
Accreditation NAAC A+ · AICTE Approved

Eligibility Criteria

  • Passed 10+2 or equivalent with Physics, Chemistry & Mathematics as core subjects
  • Minimum 45% aggregate marks (40% for SC/ST/OBC candidates as per norms)
  • Valid KCET / COMEDK / JEE Main rank
  • Recognised boards: CBSE, ICSE, Karnataka PUC and state equivalents
Focus Areas & Specialisations
B.E. Robotics & AI — Focus Area
Autonomous Robotics & Navigation

Path planning, simultaneous localisation and mapping (SLAM), obstacle avoidance, and multi-robot coordination for mobile and aerial platforms operating in unstructured environments.

Autonomous Systems
B.E. Robotics & AI — Focus Area
Computer Vision & Perception

Visual perception pipelines for robotic systems — depth estimation, semantic segmentation, object tracking, and 3D scene reconstruction enabling machines to interpret their surroundings in real time.

Perception
B.E. Robotics & AI — Focus Area
Robot Operating System (ROS)

ROS 2 middleware architecture, node communication, sensor drivers, Gazebo simulation, and building modular robotic software stacks for rapid prototyping and deployment.

ROS
B.E. Robotics & AI — Focus Area
Embedded Systems & IoT

Microcontroller programming, real-time operating systems, sensor interfacing, edge computing, and Internet-of-Things architectures for connected robotic ecosystems.

Embedded AI
B.E. Robotics & AI — Focus Area
Machine Learning for Robotics

Deep reinforcement learning, imitation learning, sim-to-real transfer, and neural policy optimisation for teaching robotic agents to master complex manipulation and locomotion tasks.

ML & Robotics
B.E. Robotics & AI — Focus Area
Human-Robot Interaction

Natural language interfaces, gesture recognition, social robotics, collaborative workspace safety, and designing intuitive interaction paradigms between humans and intelligent machines.

HRI
Vision, Mission & Programme Objectives
Vision

To develop innovative robotic systems integrated with artificial intelligence for sustainable technological advancement and societal benefit.

Mission
  • Deliver a rigorous curriculum that synthesises mechatronics, control theory, and AI to produce engineers proficient in designing embodied intelligent systems.
  • Foster a research ecosystem that advances autonomous cognition, perception algorithms, and human-robot collaboration for real-world applications.
  • Cultivate industry-ready graduates through hands-on laboratory practice, interdisciplinary projects, and partnerships with leading robotics and automation organisations.

Programme Educational Objectives (PEOs)

1 Analyse complex engineering requirements and design robotic solutions by applying principles of kinematics, control systems, and artificial intelligence.
2 Pursue successful careers in industry, research, or higher studies within robotics, autonomous systems, and allied engineering disciplines.
3 Engage in lifelong learning and contribute effectively to multi-disciplinary projects addressing emerging challenges in intelligent automation.
4 Demonstrate professional ethics, effective communication, and leadership in the responsible development and deployment of robotic technologies.

Programme Specific Outcomes (PSOs)

1 Ability to design, simulate, and deploy autonomous robotic systems by integrating mechanical design, embedded computing, sensor fusion, and AI-driven control strategies.
2 Ability to apply machine learning and computer vision techniques to enable robotic perception, decision-making, and adaptive behaviour in dynamic environments.
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Curriculum & Syllabus

Download the latest ACU scheme syllabus for the Robotics & AI programme. All curricula are updated to the current academic scheme.

B.E. Robotics & AI Core Scheme 2024 · 8 Semesters Download PDF
Autonomous Systems Track Elective · Sem 5–8 Download PDF
Embedded Robotics Track Elective · Sem 5–8 Download PDF
Placements & Industry Connect

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.

  • 86% average placement rate across BGSIT programmes
  • Growing demand for Robotics & AI engineers across all sectors
  • 100+ active recruiter partnerships across industries
  • Structured internship pipelines from Semester 5
  • Placement training: aptitude, coding, group discussion, HR rounds
  • Annual campus drives (October through February)
TCS Infosys Wipro Accenture Bosch ABB Robotics Cognizant HCL Technologies KUKA Siemens Honeywell L&T Technology
Career Opportunities

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:

Robotics Engineer
Autonomous Systems Developer
Computer Vision Engineer
AI Research Scientist
ROS Developer
Embedded Systems Engineer
Drone Systems Engineer
Automation Architect
IoT Solutions Engineer
Control Systems Analyst
Product Design Engineer
Mechatronics Specialist
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