In industrial applications, robots are primarily used to automate repetitive tasks with high precision and consistency, increasing productivity and efficiency.

Mobile robots, equipped with sensors and navigation systems, are designed for autonomous movement and mapping, enabling them to navigate complex environments.

Sensors in autonomous systems play a crucial role in measuring physical quantities such as position, velocity, and acceleration, providing essential data for control algorithms to make informed decisions.

PID (Proportional-Integral-Derivative) control is a widely used control algorithm in robotics for trajectory tracking. It offers simplicity, robustness, and effectiveness in regulating system behavior.

SLAM (Simultaneous Localization and Mapping) is a fundamental technique in autonomous systems, enabling the robot to simultaneously estimate its own position and construct a map of the environment in real-time.

Surgical robots are specifically designed for medical applications, providing precise control and dexterity for minimally invasive surgery, enhancing patient outcomes and reducing recovery time.

Robotic arms in industrial automation are primarily used to perform repetitive tasks with high accuracy and speed, increasing productivity and efficiency in manufacturing processes.

Mobile robots, equipped with sensors and navigation systems, are often used for autonomous exploration and research in extreme environments, such as underwater, space, and hazardous areas.

Actuators in robotic systems are responsible for converting electrical or hydraulic energy into mechanical motion, enabling the robot to move and perform various tasks.

The A* (A-star) algorithm is a widely used control algorithm for path planning in autonomous systems. It efficiently finds the shortest path between two points in a complex environment, considering obstacles and constraints.

Robotic grippers in industrial automation are designed to grasp and manipulate objects in a controlled manner, enabling precise handling and assembly of components.

Collaborative robots, also known as cobots, are specifically designed to work alongside humans in shared workspaces, assisting with tasks and enhancing productivity.

Sensors in autonomous systems play a crucial role in measuring physical quantities such as position, velocity, and acceleration, providing essential data for control algorithms to make informed decisions.

PID (Proportional-Integral-Derivative) control is a widely used control algorithm in robotics for trajectory tracking. It offers simplicity, robustness, and effectiveness in regulating system behavior.

SLAM (Simultaneous Localization and Mapping) is a fundamental technique in autonomous systems, enabling the robot to simultaneously estimate its own position and construct a map of the environment in real-time.