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Robotics – Complete Reference Notes
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2nd Year · ECE · EEE
Rajiv Gandhi University of Knowledge Technologies, Nuzvid
11 Oct 2026 (Uploaded)
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About this material

Comprehensive reference material covering the fundamentals of robotics, robot configurations, kinematics, dynamics, sensors, actuators, robot control systems, motion planning and industrial applications. Includes theoretical concepts, mathematical equations, robot diagrams, algorithms and numerical problem topics.

Unit 1 – Introduction to Robotics

  • Definition and history of robotics

  • Fundamentals of robotics and automation

  • Components of a robotic system

  • Robot anatomy and configurations

  • Cartesian, cylindrical, spherical and articulated robots

  • SCARA robots and parallel robots

  • Classification of robots

  • Degrees of freedom (DOF)

  • Robot joints and links

  • Robot workspace and work envelope

  • Robot coordinate systems

  • Industrial robot applications

  • Advantages, limitations and safety considerations

Unit 2 – Robot Kinematics

  • Introduction to robot kinematics

  • Position and orientation representation

  • Coordinate frames and transformations

  • Translation and rotation matrices

  • Homogeneous transformation matrices

  • Forward kinematics

  • Inverse kinematics

  • Robot manipulator geometry

  • Denavit–Hartenberg (D–H) parameters

  • D–H convention and transformation tables

  • Kinematic equations of robotic manipulators

  • Workspace analysis

  • Numerical problems on robot kinematics

Unit 3 – Robot Dynamics and Motion

  • Introduction to robot dynamics

  • Kinematic versus dynamic analysis

  • Forces and torques in robotic systems

  • Joint space and Cartesian space

  • Lagrangian formulation

  • Newton–Euler formulation

  • Equations of motion

  • Robot trajectory planning

  • Point-to-point motion

  • Continuous-path motion

  • Joint interpolation

  • Cartesian trajectory planning

  • Velocity and acceleration profiles

  • Motion control fundamentals

Unit 4 – Robot Sensors and Actuators

  • Introduction to robotic sensors

  • Internal and external sensors

  • Position and displacement sensors

  • Encoders and resolvers

  • Velocity and acceleration sensors

  • Force and torque sensors

  • Proximity and tactile sensors

  • Vision sensors and cameras

  • Ultrasonic, infrared and LiDAR sensors

  • Actuators in robotics

  • Electric motors: DC, servo and stepper motors

  • Hydraulic and pneumatic actuators

  • Grippers and end-effectors

  • Sensor calibration and signal processing

Unit 5 – Robot Control Systems and Programming

  • Fundamentals of robot control

  • Open-loop and closed-loop control

  • Feedback control systems

  • Position, velocity and force control

  • PID controllers

  • Joint-level and Cartesian control

  • Robot programming fundamentals

  • Teach pendant programming

  • Online and offline programming

  • Robot languages and motion commands

  • Industrial robot task programming

  • Path planning and obstacle avoidance

  • Introduction to robot simulation

  • Robot Operating System (ROS) fundamentals

Unit 6 – Intelligent Robotics and Applications

  • Introduction to intelligent robots

  • Autonomous mobile robots

  • Mobile robot navigation

  • Localization and mapping

  • Simultaneous Localization and Mapping (SLAM)

  • Path planning algorithms

  • Obstacle detection and avoidance

  • Computer vision in robotics

  • Artificial intelligence and machine learning in robotics

  • Human–robot interaction

  • Collaborative robots (cobots)

  • Industrial automation and manufacturing

  • Medical and service robots

  • Agricultural and warehouse robotics

  • Autonomous vehicles and drones

  • Robot safety, ethics and future developments

Learning Outcomes

  • Understand robot configurations, components and degrees of freedom.

  • Calculate forward and inverse kinematics.

  • Explain robot dynamics and trajectory planning.

  • Identify suitable sensors, actuators and end-effectors.

  • Understand robot control and programming techniques.

  • Describe intelligent robotics, autonomous navigation and industrial applications.

This reference material is useful for conceptual learning, assignments, laboratory preparation, project development, numerical practice and semester examination revision.

Note: This is a general six-unit reference outline. Actual topics and unit divisions may vary according to your university syllabus.

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