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ROBOTICS & IOT

ROBOTICS & IOT

About The Course

Explore the dynamic intersection of Robotics and Internet of Things (IoT) with our cutting-edge course designed to equip you with the skills to innovate and excel in the rapidly evolving tech landscape. This comprehensive program delves into the principles of robotic systems, automation, and smart technologies, integrating hands-on experience with IoT applications to enhance connectivity and efficiency. Whether you’re aspiring to build autonomous robots or develop intelligent systems, our course provides a robust foundation in both theory and practice, preparing you for a future where technology and automation drive progress.

The Course Curriculam

MODULE 1: Introduction to lot and Robotics Overview of lot and Robotics concepts and applications Introduction to basic components: sensors, actuators, microcontrollers Hands-on activity: Setting up IoT development environment (Arduino IDE, Raspberry Pi)

MODULE 2: Sensor Integration and Data Acquisition Types of sensors and their applications in IoT and Robotics Interfacing sensors with microcontrollers (Arduino, Raspberry Pi) Hands-on activity: Collecting sensor data and displaying it on a dashboard.

MODULE 3: Wireless Communication and IoT Networking Introduction to wireless communication protocols (Wi-Fi, Bluetooth, Zigbee) Implementing wireless communication in IoT devices Hands on activity: Building a simple IoT network using Wi-Fi or Bluetooth. Curriculum included

MODULE 4: Introduction to Robotics and Robot Control Basics of robot components and architecture Introduction to robot control systems (open-loop, closed-loop) Hands-on activity: Programming a simple robot movement using Arduino or Raspberry Pi

MODULE 5: Robotics Fundamentals Introduction to robotics and robotic systems Components of robotic systems (actuators, sensors, controllers) Robotic architectures (hierarchical, behavior-based, etc.).

MODULE 6: Robot Kinematics and Dynamics Basics of robot kinematics (forward and inverse kinematics) Robot dynamics and motion control Path planning and trajectory generation for robots Curriculum included

MODULE 7: Robot Perception and Localization Sensors for robot perception (cameras, lidar, etc.) Sensor fusion techniques for localization and mapping (SLAM) Introduction to robot vision and image processing.

MODULE 8: Robot Control Systems Overview of robot control systems (PID control, feedback control, etc.) Implementing control algorithms for robot motion Case studies of robot control applications.

MODULE 9: Human-Robot Interaction Human-centered design principles for robots Interfaces for human-robot interaction (voice, gesture, touch, etc.) Collaborative robotics and applications in human environments.

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