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Robotics Engineering Syllabus, Exam Pattern
Robotics Engineering Syllabus, Exam Pattern
Robotics Engineering Syllabus
Robotics Engineering:
Core Specialization Subjects
1. Robot Kinematics and Dynamics: This is a foundational subject that deals with the motion of robots. Kinematics describes a robot's motion without considering the forces causing it, while dynamics analyzes the forces and torques that produce motion.
Key topics include:
1. Forward and Inverse Kinematics: Forward kinematics determines the position and orientation of a robot's end-effector (hand or tool) based on its joint angles. Inverse kinematics is the reverse, calculating the required joint angles to place the end-effector in a desired position and orientation.
2. Jacobian Analysis: The Jacobian matrix relates joint velocities to the velocity of the end-effector. It's crucial for understanding robot motion and identifying singularities, which are configurations where the robot loses a degree of freedom.
3. Lagrangian and Newton-Euler Formulations: These are different mathematical approaches used to derive the equations of motion for a robot, which are essential for control and simulation.
Sensors and Actuators: This subject covers the "eyes" and "muscles" of a robot.
1. Sensors: Students learn about different types of sensors, such as proximity, vision (cameras), force/torque, and laser rangefinders (LIDAR). The course focuses on how these sensors work, their limitations, and how to integrate them to help a robot perceive its environment.
2. Actuators: This topic includes the components that enable robot motion, such as DC motors, stepper motors, servo motors, and hydraulic and pneumatic systems. It covers their operating principles, control methods, and power requirements.
Control Systems for Robotics: This is arguably the most critical specialization subject. It teaches how to make a robot perform a task with accuracy and stability.
Feedback Control:
i. The course delves into the theory and application of feedback loops, including the widely used
ii. PID (Proportional-Integral-Derivative)
iii. controller, to correct a robot's motion and maintain stability.
Trajectory Planning: Students learn to design the path and speed a robot will follow to move from one point to another efficiently and without collisions.
Advanced Control: More advanced topics may include nonlinear control, adaptive control, and robust control to handle uncertainties in a robot's environment and model.
Artificial Intelligence (AI) and Machine Learning (ML) in Robotics: This subject explores how to give robots the ability to "think" and learn.
Robot Learning: This includes supervised, unsupervised, and reinforcement learning techniques applied to robotics for tasks like object manipulation, grasping, and navigation.
Computer Vision: A significant part of this subject involves using cameras to enable robots to see and understand their surroundings. Topics include object recognition, image processing, and 3D reconstruction.
Path Planning and Navigation: AI algorithms are used to help mobile robots find the optimal path to a goal in complex or unknown environments while avoiding obstacles.
Embedded Systems and Microcontrollers: This subject focuses on the hardware and software that form the "brain" of a robot.
Microcontrollers and Processors: Students study different types of microcontrollers and single-board computers (like Raspberry Pi or Arduino) used in robotic systems.
Programming: This includes programming languages like C, C++, and Python, which are essential for writing the code that controls the robot's hardware and executes its tasks.
Real-Time Operating Systems (RTOS): For complex robots, an RTOS is needed to ensure that critical tasks are executed within precise time constraints.
Robotics Software Engineering: This subject covers the practical aspects of building and managing software for robotic systems.
Robot Operating System (ROS): Many programs use ROS, an open-source framework for writing robot software. Students learn to use its tools and libraries for things like message passing between different parts of the robot's system (e.g., between the camera and the motor controller), visualization, and simulation.
Simulation: Students learn to use simulation software to test and debug robot code in a virtual environment before deploying it on physical hardware.
Advanced Specialization Tracks and Electives
Depending on the program and a student's interests, a robotics engineering curriculum may offer electives in more specialized areas.
These can include:
Industrial Robotics and Automation: Focuses on the application of robots in manufacturing, including robotic arms, assembly lines, and material handling systems.
Mobile Robotics: Deals with the specific challenges of designing and controlling robots that move on their own, such as autonomous vehicles and drones.
Human-Robot Interaction (HRI): Explores the design of robots that can safely and naturally interact with humans.
Medical and Surgical Robotics: Focuses on developing robots for medical applications, such as prosthetics, surgical assistants, and rehabilitation aids.
Swarm Robotics: The study of how a large number of simple robots can work together to perform complex tasks.
Robotics Engineering Exam Pattern
Duration : 60 Minutes
No.of Question : 100
Total Marks : 100
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FAQs
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