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:

  1. Cartesian Robot

  2. Cylindrical Robot

  3. Spherical Robot

  4. SCARA Robot

  5. Articulated Robot


πŸ”Ή Based on Application:


πŸ€– 3. Robot Manipulator

A robot manipulator consists of:


πŸ”Ή Types of Joints

JointMotion
RevoluteRotation
PrismaticLinear
SphericalMulti-axis
CylindricalRotation + translation

πŸ€– 4. Robot Kinematics

✅ Definition

Kinematics deals with motion of robots without considering forces.


πŸ”Ή Types of Kinematics

1️⃣ Forward Kinematics

  • Determines end-effector position from joint values

  • Easy to compute

πŸ“Œ Example:
If joint angles are known → find hand position


2️⃣ Inverse Kinematics

  • Determines joint values from end-effector position

  • Difficult to compute

  • Multiple or no solutions possible

πŸ“Œ Used in:


πŸ€– 5. Robot Arm & Wrist Control

πŸ”Ή Arm Control

Controls position of robot arm using:


πŸ”Ή Wrist Control

Controls:

  • Orientation

  • Rotation

  • Alignment of end-effector


πŸ€– 6. Trajectory Generation

✅ Definition

Trajectory is the path followed by robot end-effector during motion.


Types:

  1. Point-to-Point (PTP)

  2. Continuous Path (CP)


Importance:

✔ Smooth motion
✔ Accuracy
✔ Energy efficiency


πŸ€– 7. Robot Control System

Types of Control Systems:


πŸ”Ή 1. Open Loop Control

  • No feedback

  • Simple

  • Less accurate

Example: Washing machine timer


πŸ”Ή 2. Closed Loop Control

  • Feedback present

  • High accuracy

  • Used in robots

Example: Servo motor


πŸ€– 8. Linear and Non-Linear Control

πŸ”Ή Linear Control

  • Simple equations

  • Easy to analyze

  • Used in basic robots


πŸ”Ή Non-Linear Control

  • Complex equations

  • High accuracy

  • Used in advanced robotics


πŸ€– 9. Robot Vision System

✅ Definition

Robot vision is the ability of a robot to see and understand images using cameras and sensors.


Components:

  1. Camera

  2. Image processor

  3. Feature extractor

  4. Decision system


Applications:


πŸ€– 10. Robot Sensors

πŸ”Ή Types of Sensors

SensorFunction
Position sensorDetects position
Proximity sensorDetects nearby object
Vision sensorImage capture
Touch sensorDetects contact
Force sensorMeasures force

πŸ€– 11. Advantages of Robotics

✔ High accuracy
✔ Works in hazardous areas
✔ Increases productivity
✔ Reduces human error


πŸ€– 12. Applications of Robotics

  • Manufacturing

  • Medical surgery

  • Space exploration

  • Military

  • Agriculture

  • Automation industry


πŸ“Œ IMPORTANT EXAM QUESTIONS (UNIT 3)

✅ Explain robot kinematics
✅ Difference between forward and inverse kinematics
✅ Explain robot control system
✅ Write a note on robot vision
✅ Explain robot sensors
✅ Short note on trajectory planning

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