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