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Path Planning of a Mobile Robot in a Static Environment – Algorithm in Action
Artificial Intelligence

Path Planning of a Mobile Robot in a Static Environment – Algorithm in Action

This video demonstrates how a mobile robot navigates through a static environment using a pre-defined algorithm. You’ll see the robot calculate the optimal path, avoid static obstacles, and reach its target efficiently. What’s included: Explanation of the static environment setup Path planning algorithm (grid-based or coordinate-based) Movement logic and decision-making Sensor data usage (if applicable) Applications in automation and warehouse robotics

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Mobile Robot Prototype – Smart Movement & Obstacle Avoidance Demo
Robotics

Mobile Robot Prototype – Smart Movement & Obstacle Avoidance Demo

How mobile robots work Use of IR/ultrasonic sensors for obstacle detection Motor driver control and navigation logic Real-world testing on various surfaces Key components and design explanation

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Essential Components of a Robotics Project – Sensors, Microcontrollers & More
Education

Essential Components of a Robotics Project – Sensors, Microcontrollers & More

Covered in this video: Microcontrollers (like Arduino, Raspberry Pi) Sensors (IR, ultrasonic, temperature, flex) Actuators (servo motors, DC motors) Power supply, cables, and connectors Real examples from robotics kits Tips for beginners starting robotics

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Robotic Fingers in Action
Science & Technology

Robotic Fingers in Action

Motion control of a robotic hand prototype, useful in prosthetics, automation, and manufacturing applications.

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