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B-TECH in Robotics And Automation at Kalinga Institute of Industrial Technology
Khordha, Odisha
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About the Specialization
What is Robotics and Automation at Kalinga Institute of Industrial Technology Khordha?
This Robotics and Automation program at Kalinga Institute of Industrial Technology focuses on equipping students with expertise in designing, developing, and deploying intelligent autonomous systems. It integrates principles from mechanical, electrical, and computer engineering, addressing the growing demand for automation solutions across various Indian industries such as manufacturing, healthcare, and logistics. The curriculum emphasizes both theoretical foundations and practical applications, preparing graduates for a dynamic and evolving technological landscape.
Who Should Apply?
This program is ideal for aspiring engineers with a strong foundation in Physics, Chemistry, and Mathematics from their 10+2 education, seeking to delve into cutting-edge technologies. It caters to fresh graduates passionate about mechatronics, artificial intelligence, and control systems. Additionally, it appeals to those keen on solving real-world challenges through automated solutions, positioning them for roles in R&D, industrial automation, and smart manufacturing sectors within India.
Why Choose This Course?
Graduates of this program can expect to pursue exciting career paths as Robotics Engineers, Automation Specialists, PLC Programmers, Mechatronics Engineers, and AI/ML Engineers in prominent Indian companies and multinational corporations operating in India. Entry-level salaries typically range from 4 to 8 LPA, with experienced professionals commanding 10-20+ LPA. The program aligns with industry needs, fostering skillsets crucial for Industry 4.0 adoption and potentially leading to roles in advanced manufacturing, automotive, and defense sectors.
Student Success Practices
Foundation Stage
Master Engineering Fundamentals- (Semester 1-2)
Focus intently on understanding core concepts in Engineering Mathematics, Physics, Chemistry, and basic programming (C/Python). These subjects form the bedrock for advanced robotics and automation topics. Dedicate time to solve problems, clarify doubts promptly, and build a strong conceptual base.
Tools & Resources
NPTEL courses for core engineering subjects, Problem-solving platforms like HackerRank for programming, Peer study groups
Career Connection
A solid grasp of fundamentals is crucial for success in competitive exams (GATE, GRE) and forms the analytical foundation required for advanced technical roles in R&D or core engineering positions during placements.
Cultivate Practical & Hands-on Skills- (Semester 1-2)
Actively participate in all laboratory sessions for subjects like Programming for Problem Solving, Engineering Graphics, and Basic Electrical/Electronics. Go beyond the prescribed experiments; explore additional tutorials, build small projects using Arduino/Raspberry Pi kits, and understand the practical implementation of theoretical concepts.
Tools & Resources
Arduino/Raspberry Pi starter kits, Online tutorials (YouTube, Instructables), Departmental workshops and clubs
Career Connection
Practical skills are highly valued by employers. Demonstrating proficiency in hardware interfacing, basic circuit design, and programming embedded systems will make you a more attractive candidate for internships and entry-level engineering roles.
Develop Effective Study Habits & Networking- (Semester 1-2)
Establish a consistent study routine, practice time management, and prioritize understanding over rote learning. Engage with faculty during office hours and connect with senior students. Seek out opportunities for peer-to-peer learning and discussion to deepen understanding and build a support network.
Tools & Resources
Planners and productivity apps, KIIT''''s academic counseling services, Student clubs and technical societies
Career Connection
Strong academic performance and effective networking can open doors to research projects, mentorships, and internal recommendations, significantly boosting your profile for future internships and job opportunities.
Intermediate Stage
Specialize through Electives and Projects- (Semester 3-5)
Strategically choose program electives (e.g., Artificial Intelligence, Machine Learning, IoT, Deep Learning) that align with your career interests within Robotics & Automation. Start working on minor projects related to these specializations, either individually or in teams, to apply learned concepts.
Tools & Resources
Coursera/edX for specialized courses, GitHub for project collaboration, KIIT''''s project labs and faculty mentors
Career Connection
Early specialization builds a strong portfolio and demonstrates clear interest. This makes you stand out to companies recruiting for specific roles in AI/ML in robotics, IoT development, or advanced automation, improving placement prospects.
Gain Industry Exposure via Internships & Workshops- (Semester 3-6)
Actively seek and complete summer internships (e.g., PS3001 Summer Internship) in relevant industries like manufacturing, automotive, or IT automation. Attend workshops and seminars on current industry trends, industrial automation tools (SCADA, DCS), and robotics platforms.
Tools & Resources
KIIT''''s Career Advisory and Placement Services, LinkedIn for networking, Industry association events (e.g., CII, FICCI)
Career Connection
Internships provide invaluable real-world experience, help build a professional network, and often lead to pre-placement offers. They are crucial for understanding industry expectations and refining your skill set for direct employment.
Participate in Technical Competitions & Clubs- (Semester 3-6)
Join and actively participate in technical clubs focused on robotics, automation, or AI. Engage in national and international competitions (e.g., Robocon, Hackathons) to apply theoretical knowledge, enhance teamwork, and develop problem-solving capabilities under pressure.
Tools & Resources
KIIT Robotics Club, AI Club, IEEE student chapters, Online competition platforms
Career Connection
Winning or even participating in such competitions showcases your technical prowess, innovation, and perseverance to potential employers, significantly enhancing your resume and interview talking points for top companies.
Advanced Stage
Undertake Comprehensive Major Projects- (Semester 7-8)
Dedicate significant effort to Project Work I and II (PW4001, PW4002). Choose challenging, innovative projects that integrate multiple aspects of robotics and automation (e.g., developing an autonomous mobile robot, an automated inspection system). Focus on thorough documentation and effective presentation.
Tools & Resources
Advanced simulation software (ROS, Gazebo, SolidWorks), Microcontroller development boards (NVIDIA Jetson, powerful MCUs), Access to advanced lab facilities and faculty guidance
Career Connection
A well-executed final year project is a powerful demonstration of your comprehensive engineering abilities, often serving as the highlight of your portfolio during placement interviews for R&D, design, or system integration roles.
Intensive Placement Preparation & Skill Refinement- (Semester 7-8)
Begin intensive preparation for campus placements, focusing on aptitude tests, technical interviews, and group discussions. Refine your coding skills, review core engineering concepts, and practice explaining your projects clearly and concisely. Develop soft skills like communication and leadership.
Tools & Resources
Online aptitude platforms (IndiaBix), Mock interview sessions, Career counseling services, Technical interview guides (GeeksforGeeks)
Career Connection
Effective placement preparation is critical for securing desirable job offers. Strong technical and soft skills, combined with a polished resume and interview performance, directly influence your success in landing a coveted role.
Explore Entrepreneurship and Higher Studies- (Semester 7-8)
For those inclined towards entrepreneurship, leverage KIIT''''s incubation center to explore startup ideas in robotics and automation. Alternatively, prepare for higher studies (M.Tech, MS, PhD) by focusing on GRE/GATE exams, securing strong recommendations, and identifying research areas.
Tools & Resources
KIIT Technology Business Incubator (TBI), GATE/GRE coaching and study materials, University research groups
Career Connection
Whether pursuing an entrepreneurial venture or higher education, both paths offer significant long-term career growth. Entrepreneurship allows you to innovate and create impact, while higher studies provide specialized knowledge for research and advanced roles in India or abroad.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination in 2022, 2023 or appearing in 2024 with Physics, Chemistry, and Mathematics (PCM). Minimum 60% aggregate marks in 10+2 Science or 10+3 Diploma in Engineering recognized by AICTE/UGC.
Duration: 4 years / 8 semesters
Credits: 160 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS1001 | Communicative English | Core | 3 | Technical Communication, Grammar and Vocabulary, Presentation Skills, Report Writing, Public Speaking |
| BS1001 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Matrices, Differential Equations |
| BS1002 | Engineering Chemistry | Core | 3 | Water Technology, Corrosion and its Control, Electrochemistry, Energy Storage Devices, Polymers and Composites |
| BS1003 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, Instrumental Methods, Water Quality Parameters, Preparation of Polymers, Corrosion Rate Measurement |
| ES1001 | Programming for Problem Solving | Core | 3 | Introduction to Programming, Data Types and Operators, Control Flow, Functions, Arrays and Pointers |
| ES1002 | Programming for Problem Solving Lab | Lab | 1 | Basic C Programming, Conditional Statements, Loops, Functions Implementation, Array Operations |
| ES1003 | Engineering Graphics and Design | Core | 2 | Orthographic Projections, Isometric Views, Sectional Views, Introduction to CAD, Dimensioning and Tolerances |
| ES1004 | Engineering Graphics and Design Lab | Lab | 1 | Drafting Tools Practice, 2D CAD Sketching, 3D Modeling Basics, Assembly Drawing, Detailing and Annotations |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS1004 | Engineering Mathematics-II | Core | 4 | Linear Algebra, Vector Calculus, Laplace Transforms, Fourier Series, Complex Analysis |
| BS1005 | Engineering Physics | Core | 3 | Quantum Mechanics, Solid State Physics, Optics, Electromagnetism, Semiconductor Devices |
| BS1006 | Engineering Physics Lab | Lab | 1 | Optics Experiments, Electrical Circuits, Magnetic Field Measurement, Semiconductor Characteristics, Spectroscopy |
| ES1005 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Transformers, DC Machines, AC Machines |
| ES1006 | Basic Electrical Engineering Lab | Lab | 1 | Circuit Laws Verification, AC Circuit Analysis, Transformer Testing, Motor Characteristics, Power Measurement |
| ES1007 | Basic Electronics Engineering | Core | 3 | PN Junction Diode, Bipolar Junction Transistors, Field-Effect Transistors, Operational Amplifiers, Digital Logic Gates |
| ES1008 | Basic Electronics Engineering Lab | Lab | 1 | Diode Characteristics, Transistor Amplifier Design, Op-Amp Circuits, Logic Gate Implementation, Rectifier Circuits |
| ES1009 | Manufacturing Process | Core | 3 | Casting Processes, Forming Processes, Machining Processes, Joining Processes, Additive Manufacturing |
| ES1010 | Manufacturing Process Lab | Lab | 1 | Sheet Metal Working, Welding Techniques, Machining Operations, Foundry Practice, Fitting and Carpentry |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS2001 | Engineering Mathematics-III | Core | 4 | Probability and Statistics, Partial Differential Equations, Numerical Methods, Stochastic Processes, Regression Analysis |
| PC2001 | Kinematics and Dynamics of Machines | Core | 3 | Kinematic Chains, Mechanisms and Machines, Velocity and Acceleration Analysis, Gear Trains, Dynamics of Rigid Bodies |
| PC2002 | Electrical Machines | Core | 3 | DC Motor and Generator, Single-Phase Transformers, Three-Phase Induction Motor, Synchronous Machines, Special Electrical Machines |
| PC2003 | Digital Electronics | Core | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory Devices |
| PC2004 | Digital Electronics Lab | Lab | 1 | Logic Gates Verification, Adders and Subtractors, Multiplexers and Demultiplexers, Flip-Flops, Counters and Registers |
| PC2005 | Materials Engineering | Core | 3 | Crystalline Structures, Mechanical Properties of Materials, Phase Diagrams, Heat Treatment, Composite Materials |
| MC2001 | Environmental Science | Mandatory Non-Credit | 0 | Ecosystems, Environmental Pollution, Resource Management, Sustainable Development, Environmental Ethics |
| PC2006 | Kinematics and Dynamics of Machines Lab | Lab | 1 | Linkage Mechanisms, Cam and Follower, Gear Tooth Profile, Flywheel Experiments, Vibration Analysis |
| PC2007 | Electrical Machines Lab | Lab | 1 | DC Machine Characteristics, Transformer Load Test, Induction Motor Testing, Synchronous Generator, Speed Control of Motors |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS2002 | Optimization Techniques | Core | 3 | Linear Programming, Non-Linear Programming, Dynamic Programming, Metaheuristic Algorithms, Applications in Engineering |
| ES2001 | Data Structures & Algorithms | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| ES2002 | Data Structures & Algorithms Lab | Lab | 1 | List Operations, Stack and Queue Implementation, Tree Traversal, Graph Algorithms, Sorting and Searching Programs |
| PC2008 | Control System Engineering | Core | 3 | Control System Modeling, Time Domain Analysis, Frequency Domain Analysis, Stability Analysis, PID Controllers |
| PC2009 | Microcontroller & PLC | Core | 3 | 8051 Microcontroller Architecture, Assembly Language Programming, Interfacing Techniques, PLC Fundamentals, Ladder Logic Programming |
| PC2010 | Microcontroller & PLC Lab | Lab | 1 | Microcontroller Programming, Interfacing Peripherals, PLC Hardware Setup, Ladder Logic Applications, Sequential Control Systems |
| PC2011 | Measurements and Instrumentation | Core | 3 | Measurement Standards, Transducers and Sensors, Data Acquisition Systems, Signal Conditioning, Advanced Measuring Instruments |
| PC2012 | Measurements and Instrumentation Lab | Lab | 1 | Strain Gauge Experiments, Temperature Measurement, Pressure Sensor Calibration, LVDT and Potentiometer, Data Logger Setup |
| MC2002 | Indian Constitution | Mandatory Non-Credit | 0 | Constituent Assembly, Preamble and Fundamental Rights, Directive Principles, Parliamentary System, Judiciary and Emergency Provisions |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS3001 | Engineering Economics | Core | 3 | Demand and Supply, Cost Analysis, Market Structures, Project Evaluation, Financial Management |
| PC3001 | Industrial Robotics | Core | 3 | Robot Kinematics, Robot Dynamics, Robot End Effectors, Robot Programming, Robot Applications |
| PC3002 | Theory of Automation | Core | 3 | Automation Strategies, Automated Production Lines, Material Handling, Automated Inspection, Flexible Manufacturing Systems |
| PC3003 | Sensor and Actuator | Core | 3 | Sensor Characteristics, Proximity Sensors, Vision Sensors, Pneumatic Actuators, Hydraulic Actuators |
| PC3004 | Industrial Robotics Lab | Lab | 1 | Robot Calibration, Forward and Inverse Kinematics, Robot Path Planning, Robot Gripper Control, Robotic Assembly Tasks |
| PC3005 | Sensor and Actuator Lab | Lab | 1 | Sensor Interfacing, Temperature and Pressure Sensors, Encoder Testing, Stepper Motor Control, Servo Motor Control |
| PE3001 | Artificial Intelligence (Program Elective-I) | Elective | 3 | AI Foundations, Problem Solving Agents, Knowledge Representation, Machine Learning Basics, Natural Language Processing |
| PE3002 | Machine Learning (Program Elective-I) | Elective | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Model Evaluation |
| PE3003 | Internet of Things (Program Elective-I) | Elective | 3 | IoT Architecture, Sensor Nodes, IoT Protocols, Cloud Platforms for IoT, IoT Security |
| PE3004 | Soft Computing (Program Elective-I) | Elective | 3 | Fuzzy Logic, Neural Networks, Genetic Algorithms, Hybrid Systems, Evolutionary Computation |
| PE3005 | Advanced Engineering Mathematics (Program Elective-I) | Elective | 3 | Calculus of Variations, Tensor Analysis, Integral Equations, Special Functions, Numerical Optimization |
| PE3006 | Robot Modeling and Simulation (Program Elective-I) | Elective | 3 | Robot Manipulator Kinematics, Jacobian Matrix, Robot Dynamics, Trajectory Generation, Robot Simulation Software |
| OE1 | Open Elective-I | Elective | 3 | Course selected from a university-wide pool of Open Electives. |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS3002 | Industrial Management | Core | 3 | Principles of Management, Production and Operations Management, Quality Management, Project Management, Supply Chain Management |
| PC3006 | Industrial Automation | Core | 3 | Industrial Control Systems, SCADA and DCS, Distributed Control, Communication Protocols, System Integration |
| PC3007 | Machine Vision | Core | 3 | Image Formation, Image Processing, Feature Extraction, Object Recognition, Machine Vision Applications |
| PC3008 | Industrial Automation Lab | Lab | 1 | PLC Interfacing, HMI Development, SCADA System Configuration, Process Control Loops, Industrial Network Setup |
| PC3009 | Machine Vision Lab | Lab | 1 | Image Acquisition, Image Filtering, Edge Detection, Feature Matching, Object Measurement |
| PC3010 | Mechatronics | Core | 3 | Mechatronics System Design, Sensors and Transducers, Actuators and Mechanisms, Microcontrollers and DSP, Control System Integration |
| PC3011 | Mechatronics Lab | Lab | 1 | System Modeling, PID Control Implementation, Motor Control Systems, Data Acquisition, Robotic Arm Control |
| PE3007 | Deep Learning (Program Elective-II) | Elective | 3 | Neural Network Architectures, Convolutional Neural Networks, Recurrent Neural Networks, Generative Models, Deep Learning Frameworks |
| PE3008 | Digital Image Processing (Program Elective-II) | Elective | 3 | Image Transforms, Image Enhancement, Image Restoration, Image Segmentation, Morphological Image Processing |
| PE3009 | Design of Robotic Systems (Program Elective-II) | Elective | 3 | Robot Mechanical Design, Actuator Selection, Sensor Integration, Control System Design, Safety in Robotics |
| PE3010 | Robot Intelligence (Program Elective-II) | Elective | 3 | Cognitive Robotics, Robot Learning, Motion Planning, Behavior-based Robotics, Human-Robot Collaboration |
| PE3011 | Human-Robot Interaction (Program Elective-II) | Elective | 3 | HRI Principles, Robot Perception of Humans, Robot Social Intelligence, Ethical Considerations in HRI, Collaboration and Co-existence |
| PE3012 | Advanced Control System (Program Elective-II) | Elective | 3 | State-Space Analysis, Non-linear Control, Optimal Control, Adaptive Control, Robust Control |
| OE2 | Open Elective-II | Elective | 3 | Course selected from a university-wide pool of Open Electives. |
| PS3001 | Summer Internship | Project | 2 | Industry Exposure, Practical Skill Application, Project Documentation, Presentation Skills, Professional Networking |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PC4001 | Design of Experiments | Core | 3 | Experimental Design Principles, ANOVA, Factorial Designs, Response Surface Methodology, Taguchi Methods |
| PC4002 | CAD/CAM | Core | 3 | Geometric Modeling, Product Design, CNC Programming, Tool Path Generation, Computer-Aided Inspection |
| PC4003 | CAD/CAM Lab | Lab | 1 | CAD Software Practice, CAM Software Operations, CNC Milling and Turning, Part Programming, Geometric Dimensioning and Tolerancing |
| PC4004 | Hydraulics and Pneumatics | Core | 3 | Fluid Power Principles, Hydraulic Components, Pneumatic Components, Circuit Design, Electro-Hydraulic/Pneumatic Systems |
| PC4005 | Hydraulics and Pneumatics Lab | Lab | 1 | Hydraulic Circuit Assembly, Pneumatic Circuit Assembly, Sequence Control, Troubleshooting, Actuator Control |
| PE4001 | Cyber Physical System (Program Elective-III) | Elective | 3 | CPS Architectures, Modeling and Analysis of CPS, Sensor and Actuator Networks, Real-time Systems, Security and Privacy in CPS |
| PE4002 | Mobile Robotics (Program Elective-III) | Elective | 3 | Locomotion and Kinematics, Mobile Robot Sensing, Localization, Mapping, Navigation and Path Planning |
| PE4003 | Cloud Computing (Program Elective-III) | Elective | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Storage, Cloud Security |
| PE4004 | Data Mining (Program Elective-III) | Elective | 3 | Data Preprocessing, Association Rule Mining, Classification, Clustering, Anomaly Detection |
| PE4005 | Augmented Reality and Virtual Reality (Program Elective-III) | Elective | 3 | VR/AR Devices, 3D Modeling for VR/AR, Rendering Techniques, Interaction in VR/AR, Applications of VR/AR |
| PE4006 | Network Robotics (Program Elective-III) | Elective | 3 | Distributed Robotics, Robot Communication, Cloud Robotics, Teleoperation, Multi-robot Systems |
| OE3 | Open Elective-III | Elective | 3 | Course selected from a university-wide pool of Open Electives. |
| PW4001 | Project Work I | Project | 3 | Problem Identification, Literature Review, Methodology Development, Prototyping, Interim Report |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PE4007 | Additive Manufacturing (Program Elective-IV) | Elective | 3 | 3D Printing Technologies, Materials for Additive Manufacturing, Design for Additive Manufacturing, Post-processing, Applications in Robotics |
| PE4008 | Soft Robotics (Program Elective-IV) | Elective | 3 | Soft Robot Materials, Soft Actuators, Soft Sensors, Modeling of Soft Robots, Applications in Healthcare and Manipulation |
| PE4009 | Autonomous Vehicles (Program Elective-IV) | Elective | 3 | Vehicle Perception, Localization and Mapping, Path Planning, Control Algorithms, Safety and Regulations |
| PE4010 | Data Science (Program Elective-IV) | Elective | 3 | Statistical Modeling, Big Data Technologies, Feature Engineering, Data Visualization, Ethical Aspects of Data Science |
| PE4011 | Bio-Robotics (Program Elective-IV) | Elective | 3 | Biomimetics, Medical Robotics, Rehabilitation Robotics, Surgical Robotics, Exoskeletons |
| PE4012 | Swarm Robotics (Program Elective-IV) | Elective | 3 | Swarm Intelligence, Collective Behavior, Robot Communication, Decentralized Control, Applications of Swarm Robotics |
| OE4 | Open Elective-IV | Elective | 3 | Course selected from a university-wide pool of Open Electives. |
| PW4002 | Project Work II | Project | 6 | System Design and Development, Testing and Validation, Performance Evaluation, Final Thesis/Report, Project Presentation |
