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Showing posts with the label PAPER 3 – ARTIFICIAL INTELLIGENCE & ROBOTICS

πŸ“˜PAPER 3 – ARTIFICIAL INTELLIGENCE & ROBOTICS UNIT 5 – COMPUTER VISION & ROBOT PROGRAMMING (university of allahabad)

  πŸ”΄ UNIT 5 – COMPUTER VISION & ROBOT PROGRAMMING (Very important for theory + application-based questions) πŸ‘️ 1. Computer Vision – Introduction ✅ Definition Computer Vision is a field of AI that enables machines to: See Interpret Understand images and videos Just like human vision, but using cameras and algorithms . πŸ‘️ 2. Components of Computer Vision System Main Components: Image Sensor (Camera) Image Acquisition System Image Processing Unit Feature Extraction Decision Making System πŸ‘️ 3. Image Formation Process Steps: Light falls on object Reflected light captured by camera Image converted into digital form Image processed by computer πŸ‘️ 4. Image Processing Steps πŸ”Ή Step 1: Image Acquisition Capturing image using camera or sensor πŸ”Ή Step 2: Pre-processing Noise removal Image enhancement Filtering πŸ”Ή Step 3: Segmentation Dividing image into meaningful parts πŸ”Ή Step 4: Feature Extraction ...

πŸ“˜PAPER 3 – ARTIFICIAL INTELLIGENCE & ROBOTICS UNIT 4 – ROBOT MOTION & CONTROL (university of allahabad)

πŸ”΄ UNIT 4 – ROBOT MOTION & CONTROL πŸ€– 1. Robot Motion ✅ Definition Robot motion refers to the movement of robot parts (links & joints) to perform a task. Robot motion includes: Translation Rotation Combined motion πŸ”Ή Types of Robot Motion 1️⃣ Translational Motion Movement in a straight line . ✔ Forward ✔ Backward ✔ Left / Right Example: Conveyor belt movement 2️⃣ Rotational Motion Movement around an axis . ✔ Joint rotation ✔ Arm rotation Example: Robotic arm rotating to pick an object πŸ€– 2. Motion Conversion Definition: Conversion of one type of motion into another. Examples: Input Motion Output Motion Rotary Linear Linear Rotary Devices Used: Gears Belts Pulleys Lead screws πŸ€– 3. Lagrangian Analysis of Manipulator ✅ Definition Lagrangian method is used to analyze robot dynamics using: Kinetic energy (T) Potential energy (V) Lagrangian Equation: L = T − V L = T - V L = T − V Where: T = Kinetic Energy ...

πŸ“˜PAPER 3 – ARTIFICIAL INTELLIGENCE & ROBOTICS UNIT 3 – ROBOTICS (university of allahabad)

  πŸ”΄ UNIT 3 – ROBOTICS (Kinematics, Control & Vision) πŸ€– 1. Introduction to Robotics ✅ What is a Robot? A robot is a programmable electro-mechanical device capable of: Sensing environment Processing information Performing actions automatically ✅ Definition (Exam Ready) A robot is a reprogrammable, multifunctional manipulator designed to move materials, parts, tools or devices through variable programmed motions. πŸ€– 2. Classification of Robots πŸ”Ή Based on Structure: Cartesian Robot Cylindrical Robot Spherical Robot SCARA Robot Articulated Robot πŸ”Ή Based on Application: Industrial robots Medical robots Military robots Space robots Service robots πŸ€– 3. Robot Manipulator A robot manipulator consists of: Links Joints End effector πŸ”Ή Types of Joints Joint Motion Revolute Rotation Prismatic Linear Spherical Multi-axis Cylindrical Rotation + translation πŸ€– 4. Robot Kinematics ✅ Definition Kinematics dea...

πŸ“˜ PAPER 3 – ARTIFICIAL INTELLIGENCE & ROBOTICS UNIT 2: KNOWLEDGE REPRESENTATION & REASONING (university of allahabad)

  πŸ”΄ UNIT 2: KNOWLEDGE REPRESENTATION & REASONING 1️⃣ Knowledge Representation (KR) ✅ Definition Knowledge Representation is the method used to store knowledge in a machine so that it can: Reason Learn Make decisions ✅ Goals of Knowledge Representation ✔ Represent real-world information ✔ Enable reasoning ✔ Easy to modify ✔ Efficient retrieval 2️⃣ Propositional Logic ✅ Definition Propositional Logic is a formal system in which: Statements are either True or False Uses logical connectives πŸ”Ή Basic Elements Propositions Statements that have truth values. Example: “Ram is tall” → True/False Logical Connectives Symbol Meaning ¬ NOT ∧ AND ∨ OR → IMPLIES ↔ IFF Example: P: It is raining Q: I carry umbrella P → Q 3️⃣ Syntax and Semantics Syntax Rules for forming valid expressions. Semantics Meaning or truth value of expressions. 4️⃣ Inference in Propositional Logic πŸ”Ή Reasoning Methods 1. Forward Chaining Data-d...

πŸ“˜ PAPER 3: ARTIFICIAL INTELLIGENCE & ROBOTICS UNIT 1 – INTRODUCTION TO AI & SEARCH TECHNIQUES (university of allahabad)

  πŸ”΄ UNIT 1 – INTRODUCTION TO AI & SEARCH TECHNIQUES 1️⃣ Introduction to Artificial Intelligence (AI) ✅ Definition of AI Artificial Intelligence is a branch of computer science that deals with creating intelligent machines capable of performing tasks that normally require human intelligence . Examples: Speech recognition Face detection Self-driving cars Chatbots Robotics 2️⃣ Scope of Artificial Intelligence AI is widely used in the following fields: πŸ”Ή 1. Games Chess Ludo Video games AlphaGo πŸ”Ή 2. Theorem Proving Logical reasoning Mathematical proof verification πŸ”Ή 3. Natural Language Processing (NLP) Language translation Chatbots Speech recognition πŸ”Ή 4. Vision Systems Face recognition Object detection Medical image analysis πŸ”Ή 5. Robotics Industrial robots Medical robots Space robots πŸ”Ή 6. Expert Systems Medical diagnosis Fault detection Decision-making systems 3️⃣ AI Techniq...