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B.Tech in Intelligent Robotics and Automation
Program details
B.Tech in Intelligent Robotics & Automation at UPES is designed as a native AI–Robotics integration track, not a mechanical degree with add-on robotics electives. Built around the idea of ‘Embodied Intelligence', this program is for students who want to go beyond ‘building a machine’ and learn how to make machines think and act. The focus is on AI + robotics working together, so students learn how robots sense the world, make decisions, and move safely in real environments—especially in areas like service robotics, autonomous mobility and defence tech.
The learning is organised around the full robotics stack: mechanics and mechatronics, control systems, AI/ML and perception, autonomous planning, embedded systems and edge AI, industrial/service robotics, and product engineering with entrepreneurship—so graduates understand the whole journey from idea to working robot.
Program Highlights
- The ₹25 crore Bajaj Engineering Skills Training (BEST) hub provides 6-months immersion and hands-on work with AMRs (Autonomous Moving Robots), Cobots, and MES (Manufacturing Execution Systems) platforms, supported by industry-recognised certifications that strengthen employability.
- NVIDIA Omniverse-style digital twin workflows for high-fidelity simulation and synthetic data generation, before hardware deployment
- All coding is done in Robot Operating System 2 from second year. Deep integration of ROS 2-native curriculum (the global industry standard used by companies like Tesla, Amazon Robotics, and Waymo) with hands-on development in ROS 2 + Python/C++ and a simulation-to-real robot pipeline
- Autonomous + XR aided learning through drones, mobile robots and manipulators, supported by AR-enabled digital-twin learning and industry-grade robotics stacks (perception, planning, control, deployment).
- Venture-backed capstones with a ‘Startup Track’ with pre-seed support, plus routes into global roles, robotics startups or research-led MS/PhD progression.
- Design-Build-Deploy learning cycle provides a ‘Living Lab’ experience to students by using the UPES campus as a testing ground for last-mile delivery bots or campus surveillance drones designed in class.
- Builds capability in human–robot interaction (HRI), with a focus on safe and ethical human–robot collaboration.
Industry Trends & Career Opportunities
This program aligns with the fastest-growing robotics directions: AI-powered perception and control, autonomous navigation and multi-robot systems, human–robot collaboration, Robotics-as-a-Service (RaaS), edge AI for real-time inference, and service/humanoid applications across agriculture, healthcare and defence. Graduates won’t just operate robots—they’ll build the intelligence that drive them across functions and industries
Typical roles include:
- Robotics / Automation Engineer (robot development, integration, deployment)
- Autonomous Systems Engineer (drones, AMRs, navigation and planning)
- AI Robotics / Perception Engineer (vision, sensor fusion, ML for robotics)
- Controls & Mechatronics Engineer (control systems, dynamics, actuation)
- Human–Robot Interaction / Safety & Ethics Specialist (HRI, safety, responsible automation)
Placements
Hiring opportunities typically come from robotics and automation companies, EV/autonomy firms, logistics and warehousing players, and aerospace/defence organisations—along with fast-growing AI and robotics startups. Depending on roles and hiring cycles, this can include names such as Ola Electric, Amazon/Flipkart, ISRO and DRDO, alongside other industry partners and recruiters.
Students stand out through strong robot-focused portfolios, real project deployments, and familiarity with industry tools. There’s also a clear push towards build-and-launch thinking—so projects can evolve into practical outcomes like warehouse automation solutions, low-cost drones, or assistive healthcare devices.
Fee Structure
Click here for detailed Fee Structure.
Curriculum
Year 1: The Systems Foundation
| Sem | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|
| I | Calculus & Linear Algebra (for Optimisation) | 3 | 1 | 0 | 4 |
| Engineering Physics (Semiconductor & Sensors) | 3 | 0 | 2 | 4 | |
| Programming for Engineers (Python-Native) | 2 | 0 | 4 | 4 | |
| Engineering Design & 3D Visualisation | 1 | 0 | 4 | 3 | |
| II | Probability & Statistics (for Data Intelligence) | 3 | 1 | 0 | 4 |
| Materials Science & Nanomanufacturing | 3 | 0 | 2 | 4 | |
| Basic Electrical & Electronics Engineering | 3 | 0 | 2 | 4 | |
| Data Structures & Algorithms | 3 | 0 | 2 | 4 |
Year 2: Cyber-Physical Integration
| Sem | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|
| III | Smart Manufacturing Processes (Additive & Subtractive) | 3 | 0 | 2 | 4 |
| Industrial IoT & Connectivity Protocols | 2 | 0 | 4 | 4 | |
| Mechatronics & Control Systems | 3 | 0 | 2 | 4 | |
| Intermediate Microeconomics (for Manufacturing) | 3 | 0 | 0 | 3 | |
| IV | Industrial AI & Machine Learning Foundations | 3 | 0 | 2 | 4 |
| Digital Logic & Embedded Systems | 3 | 0 | 2 | 4 | |
| Design for Manufacturing & Assembly (DfMA) | 2 | 0 | 2 | 3 | |
| Database Management & Industrial Cloud | 2 | 0 | 2 | 3 |
Year 3: Industrial Intelligence & Autonomy .
| Sem | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|
| V | Digital Twins & Cyber-Physical Systems (CPS) | 3 | 0 | 2 | 4 |
| Robotics & Autonomous Factory Systems | 3 | 0 | 2 | 4 | |
| Big Data Analytics in Manufacturing | 3 | 0 | 2 | 4 | |
| Professional Elective – I (See Baskets) | 3 | 0 | 0 | 3 | |
| VI | Industrial Computer Vision & Quality AI | 3 | 0 | 2 | 4 |
| Cybersecurity for Smart Factories | 3 | 0 | 0 | 3 | |
| Professional Elective – II | 3 | 0 | 0 | 3 | |
| Professional Elective – III | 3 | 0 | 0 | 3 |
Year 4: Innovation & Venture Launch
| Sem | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|
| VII | Generative Design & Topology Optimisation | 3 | 0 | 0 | 3 |
| Professional Elective – IV | 3 | 0 | 0 | 3 | |
| Professional Elective – V | 3 | 0 | 0 | 3 | |
| Capstone Project Phase-I | 0 | 0 | 8 | 4 | |
| VIII | Full Semester Industry Internship / Startup Track | – | – | – | 12 |
Elective Baskets (AICTE-Compliant Tracks)
Students can specialize in one "Basket" to build deep domain expertise for high-paying roles in Global Capability Centers (GCCs).
Basket A: Robotics & Autonomous Systems
- Collaborative Robotics (Cobotics): Programming robots to work safely with humans.
- Autonomous Mobile Robots (AMRs): Navigation and SLAM for warehouse logistics.
- Drone Tech in Manufacturing: Inventory tracking and inspection.
Basket B: Industrial Data & Enterprise AI
- Blockchain in Supply Chain: Transparent tracking of parts.
- Predictive Maintenance & PHM: Prognostics and Health Management using sensor data.
- Edge Computing for Industrial AI: Deploying AI models directly on the shop floor.
Basket C: Sustainable & Virtual Manufacturing
- Augmented/Virtual Reality (XR): Virtual commissioning and remote maintenance.
- Green & Circular Manufacturing: Energy-aware scheduling and waste reduction.
- Operations Research & Smart Logistics: Advanced optimisation for global supply chains.
Eligibility
Eligibility requires a minimum 60–70% aggregate in Class 12, with Physics and Mathematics. Students should also have Chemistry, Computer Science or Electronics as an additional subject. A strong interest in robotics, AI and engineering systems is recommended to make the most of the program.
Selection Criteria
Selection is based on entrance exam performance (JEE Main, CUET (UG) or UPESEAT) and/or academic merit, supported by an aptitude test that evaluates systems thinking and problem-solving. A personal interview may also be conducted for high-potential candidates, where applicable.
