πPAPER 3 – ARTIFICIAL INTELLIGENCE & ROBOTICS UNIT 3 – ROBOTICS (university of allahabad)
π΄ UNIT 3 – ROBOTICS
(Kinematics, Control & Vision)
π€ 1. Introduction to Robotics
✅ What is a Robot?
A robot is a programmable electro-mechanical device capable of:
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Sensing environment
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Processing information
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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.
π€ 2. Classification of Robots
πΉ Based on Structure:
πΉ Based on Application:
π€ 3. Robot Manipulator
A robot manipulator consists of:
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Links
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Joints
πΉ Types of Joints
| Joint | Motion |
|---|---|
| Revolute | Rotation |
| Prismatic | Linear |
| Spherical | Multi-axis |
| Cylindrical | Rotation + translation |
π€ 4. Robot Kinematics
✅ Definition
Kinematics deals with motion of robots without considering forces.
πΉ Types of Kinematics
1️⃣ Forward Kinematics
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Determines end-effector position from joint values
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Easy to compute
π Example:
If joint angles are known → find hand position
2️⃣ Inverse Kinematics
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Determines joint values from end-effector position
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Difficult to compute
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Multiple or no solutions possible
π Used in:
π€ 5. Robot Arm & Wrist Control
πΉ Arm Control
Controls position of robot arm using:
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Velocity
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Acceleration
πΉ Wrist Control
Controls:
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Orientation
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Rotation
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Alignment of end-effector
π€ 6. Trajectory Generation
✅ Definition
Trajectory is the path followed by robot end-effector during motion.
Types:
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Point-to-Point (PTP)
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Continuous Path (CP)
Importance:
✔ Smooth motion
✔ Accuracy
✔ Energy efficiency
π€ 7. Robot Control System
Types of Control Systems:
πΉ 1. Open Loop Control
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No feedback
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Simple
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Less accurate
Example: Washing machine timer
πΉ 2. Closed Loop Control
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Feedback present
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High accuracy
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Used in robots
Example: Servo motor
π€ 8. Linear and Non-Linear Control
πΉ Linear Control
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Simple equations
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Easy to analyze
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Used in basic robots
πΉ Non-Linear Control
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Complex equations
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High accuracy
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Used in advanced robotics
π€ 9. Robot Vision System
✅ Definition
Robot vision is the ability of a robot to see and understand images using cameras and sensors.
Components:
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Camera
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Image processor
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Feature extractor
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Decision system
Applications:
π€ 10. Robot Sensors
πΉ Types of Sensors
| Sensor | Function |
|---|---|
| Position sensor | Detects position |
| Proximity sensor | Detects nearby object |
| Vision sensor | Image capture |
| Touch sensor | Detects contact |
| Force sensor | Measures force |
π€ 11. Advantages of Robotics
✔ High accuracy
✔ Works in hazardous areas
✔ Increases productivity
✔ Reduces human error
π€ 12. Applications of Robotics
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Manufacturing
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Space exploration
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Military
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Agriculture
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Automation industry
π 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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