DETAILS

durationIcon

Duration of Program 2 years (4 Semesters)

durationIcon

Seats 10 only

The Master's Program in Automation and Robotics Engineering is an interdisciplinary programme composed of mechanical engineering, electronics engineering, electrical engineering, computer engineering, aerospace engineering and mechatronics engineering. Robotics is increasingly prominent in a variety of sectors (eg manufacturing, health and remote exploration of hostile environments such as space and the deep sea) and as autonomous and semi-autonomous systems that interact with people physically and socially. It covers important aspects of modern robotics such as autonomous systems, field robotics, artificial intelligence, Machine learning, computer vision, mobile robots, and Rehabilitation robots, embedded systems, modelling and control systems. The program engineers will develop an enhanced skill in the field of dynamics and control technology for complex systems and processes. Over the next decade, robotic assistance will become a reality in almost every field of work and most other aspects of human life. The advanced robots led to a substantial increase in productivity, decision making, increase the efficiency of the system. The program provides top-quality expertise and skills for successful professional careers in research, technology development and design. Hence this degree would help in generating trained and qualified manpower in this area.

ACADEMIC FRAMEWORK

The foundation of higher learning at UPES since its inception has been to explore and promote areas of learning that are innovative and future focused. This has led to constant evolution in facilitating creative and collaborative learning engagements for students through realignment of curriculum and exploration of virtual tools, and open-source courseware; thereby creating borderless learning and access to limitless information.

The new curriculum framework at UPES, ABLE (Academic Blueprint for Learning Excellence) is holistic in its overall structure and yet focuses on the individual need of the student to discover, experience, explore and challenge. The learning is segmented into core subject studies, core specialism studies, minors/exploratory subjects, and signature and life skills learning. The latter three are offered by the newly-instituted School for Life.

SFL (School for Life) is an intrinsic part of the composite UPES student experience and facilitates learning and education that is a balance between what students want, and what is needed of them as future global citizens and leaders of tomorrow. With courses designed to equip students with lifelong learning skills, a focus on a wide range of contemporary issues, and a mandatory social and professional internship experience that is unique, UPES believes in igniting to inspire the best version within an individual to better the world.

DETAILS

  •  Scholarship of Knowledge - Acquire in-depth knowledge of specific discipline and global perspective, with an ability to discriminate, evaluate, analyze and synthesize existing and new knowledge, and integration of the same for enhancement of knowledge pool.
  • Critical Thinking - Analyze complex engineering problems critically, apply independent judgement for synthesizing information to make intellectual and/or creative advances for conducting research in a wider theoretical, practical and policy context.
  • Problem Solving - Think laterally and originally, conceptualize and solve engineering problems, evaluate a wide range of potential solutions for those problems and arrive at feasible, optimal solutions after considering public health and safety, cultural, societal and environmental factors in the core areas of expertise.
  • Research Skill - Extract information through literature survey and experiments, apply appropriate research methodologies, techniques and tools, design, conduct experiments, analyze and interpret data, contribute individually/in group(s) to the development of scientific/technological knowledge in one or more domains of engineering.
  • Usage of modern tools - Create, select, learn and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities with an understanding of the limitations.
  • Collaborative and Multidisciplinary work–Demonstrate collaboration to foster multidisciplinary scientific research, also demonstrate decision-making abilities to achieve common goals.
  • Project Management and Finance - Demonstrate knowledge and understanding to manage projects efficiently in respective disciplines and multidisciplinary environments after consideration of economical and financial factors.
  • Communication - Communicate with the engineering community and with society, regarding complex engineering activities confidently and effectively and give and receive clear instructions.
  • Life-long Learning - Recognize the need for, and have the preparation and ability to engage in life-long learning independently, with a high level of enthusiasm and commitment to improve knowledge and competence continuously.
  • Ethical Practices and Social Responsibility - Acquire professional and intellectual integrity, professional code of conduct, ethics of research and scholarship, consideration of the impact of research outcomes on professional practices and an understanding of responsibility to contribute to the community for sustainable development of society.
  • Independent and Reflective Learning - Observe and examine critically the outcomes of one’s actions and make corrective measures subsequently, and learn from mistakes without depending on external feedback.
PSO1: Provide the solutions to problems faced in the industrial area related to the field of Robotics and Automation Engineering.

PSO2: Design and develop robotics systems using modern tools.

SEMESTER I

 

Course Code Course Credits
  Artificial Intelligence for Robotics 3
  Kinematics & Dynamics of Robotics 4
  Mechanics for Automation and Robotics 3
  Embedded Systems  and IoT  4
  Elective 1  3
  Embedded System and IoT Lab  1
  Artificial Intelligence and Machine Learning Lab 1
  Mechanics and Mechanism Lab  1
  Total 20

 

   

SEMESTER II

 

Course Code Course Credits
  Robotics Based Industrial Automation  4
  Image Processing & Machine Vision 4
  Robots Simulation 3
  Robotics Control System 3
  Elective 2  3
  Robotics Based Industrial Automation Lab 1
  Robot Simulation Lab 1
  Image Processing & Machine Vision Lab 1
  Total 20

 

   

SEMESTER III

 

Course Code Course Credits
  Research Project -I 16
  Total 16

   

 

SEMESTER IV

 

Course Code Course Credits
  Research Project -II 16
  Total 16

 

 

SPECIALISATION

 

Specialization in Automation
Course Code Course
Credits
Elective 1 Industrial Communication Protocols  3
Industrial IoT  3
Smart Manufacturing  3
Elective 2 Metaheuristic Approaches in Industrial Automation  3
Cyber Physical Systems  3
Distributed Control System  3
Specialization in Robotics
Course Code Course Credits
Elective 1 Aerial Robotics  3
Bayesian Learning and Kalman Filters  3
Nano Robotics  3
Elective 2 Deep Learning  3
Self Driving Cars  3
Swarm Robotics  3

 

UPES believes in offering innovative course delivery with digital experience, field visits, model making, research-based learning and project based learning, to ensure the best learning outcome for students. UPES has collaborated with the online Learning Management System, Coursera, which provides the student access to world class courses from leading universities across the world, with top-notch academicians conducting the courses.

  1. Hybrid Blending and Online(HBO)
  2. Active learning in engineering
    1. Integration of classroom demonstrations to aid teaching and learning
    2. Integration of simulations into classroom teaching and learning. 
  3. Introduction of 'Innovative Assignment Electrical hardware design and development for inculcating integrity and self-reliance in students.
  4. Learning of various programming courses like Aurdino, Python etc from IIT Bombay (online mode :Spoken Tutorial, MHRD initiative)
M.Tech Automation and Robotics Engineering – Robotics is one of pioneer program offered by UPES. This program has excellent placement record from its inception. The students have various opportunities in:

  • Different companies related to core electronics and communication sector
  • Concern areas like Manufacturing/Designing/Defenses/Planning
  • Robotics and Automation industry
  • Various PSU’s/Electronics related ministry offices
  • Higher education like Ph.D in national and international universities
  • International and national research labs
  • Consulting companies
  • Entrepreneur

Our major recruiters

  • ERICSSON
  • Sifty Technology Pvt Ltd
  • Cognizant technology solutions
  • TCS
  • Birla soft Ltd
  • Ledo Learning
  • VpGlad
  • Byju’s
  • LTI
  • Philips carbon Black (PCBL)
  • KPIT
  • UpGrad
  • Infosys
  • Smart Joules
  • ExtraMarks
  • IBM
  • Samsung
  • Tata Advance
  • GreenKo
Academic –Industry interaction is a regular practice at EEE Department UPES. More than 100 workshops, guest lecture has been conducted for the students. Students are also encourages to visits the industry establishments. Industry specific certification programs are conducted by Industry experts and at the industrial premises that helps students to gain, hands on industrial experience. Summer internship at the domain specific industry and Industrial Visits are part of curriculum and are credited courses.

This program involves several industry interactions to establish relations in several aspects as follows:

Establishing laboratory

S.no Organization Support Laboratory Name Year of Establishment
1 Texas Instruments TI innovation lab 2019
2 Rexroth Bosch Group Bosch lab 2013
Students are participating in various competitive events such as CERN, GYTI awards, QUARK (Goa), Drone Festival)

Achievements

Personal Interview

Enquiry Form