Description
Overview
Robotics is a multidisciplinary field that involves the design, construction, operation, and use of robots. Robots are mechanical or virtual devices that can be programmed to perform tasks autonomously or semi-autonomously. As a robotics intern, you’ll have the opportunity to learn and work on cutting-edge technology with the potential to impact various industries. It’s an exciting and dynamic field with a wide range of applications and constant innovation.
Program Content Introduction to Robotics
- Definition and history of robotics.
- Types of robots and their applications.
- Importance and relevance of robotics in today’s world.
Robotics Components and Hardware
- Robot anatomy: sensors, actuators, and control systems.
- Understanding mechanical design, including robot arms, chassis, and end-effectors.
- Electronics and circuitry used in robotics.
Sensors and Actuators
- Types of sensors (temperature, humidity, light, motion, etc.).
- Actuators (motors, servos, relays, etc.).
- Signal conditioning and interfacing techniques.
Robot Programming
- Introduction to programming languages used in robotics (e.g., Python, C++, ROS).
- Writing code to control robot movement and actions.
- Kinematics and dynamics for robot motion planning.
Sensors and Perception
- Various sensors used in robotics, such as cameras, LiDAR, ultrasonic sensors, and more.
- Sensor data processing and interpretation.
- Implementing computer vision for object recognition and tracking.
Actuators and Mobility
- Types of actuators, including motors, servos, and hydraulics.
- Mobility systems and locomotion methods (wheels, tracks, legs, drones).
- Designing and controlling robot movement.
Control Systems
- Understanding control theory and PID controllers.
- Closed-loop and open-loop control systems.
- Practical control system design for robots.
Robot Operating System (ROS)
- An in-depth look at the ROS framework.
- Building and controlling robots using ROS.
- Developing ROS packages for various robotic applications.
Robot Localization and Mapping
- Techniques for robot navigation, including SLAM (Simultaneous Localization and Mapping).
- Implementing localization and mapping algorithms.
Artificial Intelligence and Machine Learning for Robotics
- Introduction to AI and ML concepts.
- Using AI and ML for robot perception, decision-making, and learning.
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