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B. Tech. in Robotics & Artificial Intelligence

Overview

The field of robotics is undergoing a fundamental shift from pre-programmed industrial automation to intelligent, adaptive systems capable of perception, reasoning, and autonomous action in unstructured environments. This program is designed to prepare engineers who can operate at this intersection of machine intelligence and physical systems engineering.

It focuses on the idea that true robotics expertise cannot be developed through simulation alone but must emerge from direct engagement with real-world robotic systems that integrate sensing, control, computation, and actuation. Students are trained to understand how machines perceive their environment through sensors, how they interpret uncertainty, and how they translate decisions into precise physical movement.

The learning journey progresses from mathematical and computational foundations into robot kinematics, control systems, perception, and reinforcement learning, ultimately culminating in the design and deployment of fully autonomous systems. These systems are tested not only in virtual environments but also on physical robotic platforms such as mobile robots, manipulators, and drones.

By the end of the program, students are capable of building end-to-end autonomous systems that integrate AI-driven perception, decision-making, and real-time control for real-world applications in industry, mobility, healthcare, and defense.

Duration

4 years (8 semesters), including elective projects, internships, and research components

Commence of the course


Course Duration

4 Years


Mode of Study

Eligibility


Passed 10+2 or equivalent from a recognized Board / Council with a minimum of 50% marks (45% for SC/ST) in Physics & Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational Subjects.

Valid score in JEE (Main / Advanced), AUQET (Alliance University QUASAR Entrance Test) or Karnataka State-Level entrance examinations.


Key Features

Full-stack robotics development from hardware integration to AI decision systems

Hands-on deployment on physical robotic platforms including drones, manipulators, and mobile robots

Strong focus on ROS, SLAM, computer vision, and motion planning systems

Integration of reinforcement learning for adaptive robotic behavior

Real-world exposure through industry-linked robotics projects

Interdisciplinary engineering across mechanical, electronic, and software systems

Focus on real-time control, perception uncertainty, and system reliability

Application-driven learning in manufacturing, mobility, and autonomous systems

Curriculum Architecture

Semester Stage Key Competencies
Semester 1-2 Foundation Mathematics, physics, Python, data structures, cognitive science, biology for engineers
Semester 3-4 Systems Core Robot kinematics and dynamics, sensors and perception systems, systems, AI for engineering
Semester 5-6 Robotics Specialisation Advanced control, RL, mechatronics, machine vision, ROS, SLAM, motion planning, AI and ML for robotics
Semester 7-8 Advanced Systems and Capstone HRI, edge AI, digital twin, full-stack autonomous prototype, computer vision, Grand Capstone

Program Structure

Career Pathways and Graduate Outcomes

Industry Roles
  • Robotics Engineer (Industrial / Medical / Service)
  • Autonomous Systems Developer
  • AI-Robotics Integration Specialist
  • R&D at Aerospace, Defence, or Automotive firms
  • Startup founder in Robotics and Automation
Sectors and Applications
  • Smart manufacturing and Industry 4.0
  • Autonomous vehicles and urban mobility
  • Surgical and rehabilitation robotics
  • Drone systems and aerial logistics
  • Space and defence robotics

Contact for Admissions

ALLIANCE UNIVERSITY - QUANTUM AI SCHOOL FOR ADVANCED RESEARCH

SR. No. 2/1C, Near Infosys Drive Gate No.6, Electronic City Phase 1, Bangalore 560 100