B.Tech in Intelligent Robotics and Automation

B.Tech in Intelligent Robotics and Automation

Get Certified in Robotics, AI & Smart Automation Systems   

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.

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

SemCourse TitleLTPCredits
IAdvanced Engineering Mathematics I3104
Engineering Physics for Robotics3115
Programming for Engineers2024
Engineering Graphics & CAD1023
Workshop & Fabrication1012
Managing Self2002
Environment Sustainability & Climate Change2002
AI Foundations & Ethical AI3003
,

 

SemCourse TitleLTPCredits
IIAdvanced Engineering Mathematics II3104
Electrical & Electronics for Automation3014
Engineering Mechanics3003
Embedded Programming with Microcontrollers2013
Mechatronics Fundamentals2013
Emotional Intelligence2002
Environment Sustainability & Climate Change0022
AI Tools, Productivity & Prompting3003
,

 

SemCourse TitleLTPCredits
IIISignals & Systems for Robotics2013
Intelligent Algorithms & Data Architectures2002
Sensors & Instrumentation2013
Microcontrollers & ARM Architecture2024
Control Systems Engineering3003
Motors and Drives1012
SRIJAN Social Internship0000
Exploratory I3003
Deepening Self2002
,

 

SemCourse TitleLTPCredits
IVFundamentals of Unmanned Aerial Vehicles2002
Robotics Kinematics and Dynamics3014
Probability & Statistics for AI3003
Industrial Automation1023
Rapid Product Development Technologies2002
ROS 2 & Middleware Systems1023
Art of Relationship2002
EDGE-SoftSkills---0
Exploratory II3003
,

 

SemCourse TitleLTPCredits
VRobotics Engineering2013
Deep Learning & Reinforcement Learning for Control1023
Computer Vision for Robotics & Industry2013
IoT & Edge Intelligence1023
Capstone I--22
Mastering Self2002
EDGE – Advance Communication---0
Exploratory 33003
,

 

SemCourse TitleLTPCredits
VIAutonomous Mobile Robots2013
Industrial IoT & Smart Manufacturing1023
Digital Twin & Simulation1023
Edge AI & Embedded Intelligence0022
Human Computer Interaction3003
Mechatronic System Design2013
Capstone Project II--22
Industrial Visit---0
Humane Intelligence2002
EDGE Advanced Communication II---0
Exploratory 43003
,

 

SemCourse TitleLTPCredits
VIIIndustrial Robotics & Cobots2002
AI-driven Predictive Maintenance1023
IoT for UAVs and Robotics1023
Robot Safety & Standards2002
Industrial Internship I---0
Project I--44
Exploratory 53003
AI and Future of Work / Society2002
,

 

SemCourse TitleLTPCredits
VIIIIndustrial Internship II---0
Major Project--1212
Exploratory 63003

Eligibility

Interested students must meet the following minimum eligibility criteria for admission to the B.Tech. program in Intelligent Robotics and Automation: Minimum 50% marks in Classes X and XII. with 50% in PCM (Physics/Chemistry and Mathematics) in Class XII.

Selection Criteria

The criteria for selecting students who wish to pursue B.Tech. in Intelligent Robotics and Automation at UPES School of Advanced Engineering depend on the performance in UPESEAT / JEE Mains / Board Merit / SAT/ CUET-UG.
 

Enquiry Form

Please enter first name
Please enter last name
Please enter email address
+91 Please enter mobile number
Please Select Course Type
Please select Course
Please Select Condition