This project implements a static greeting humanoid robot using Arduino and various electronic components. The robot is designed to detect a person's presence using a proximity sensor, which then triggers a greeting motion using servo motors. The movement of the robot's joints is controlled and limited by reed and limit switches.

The robot utilizes a combination of sensing, actuation, and control mechanisms to achieve the greeting behavior. The system architecture is as follows:

1. Human Detection: A proximity sensor detects the presence of a person within a certain range.
2. Signal to Arduino: The sensor sends a signal to the Arduino board, indicating the presence of a person.
3. Motor Control: The Arduino processes the signal and controls the servo motors to initiate a greeting motion.
4. Joint Limit Control: Reed and limit switches are strategically placed in the robot's joints to restrict the range of motion and prevent damage.

The robot is a static structure with articulated joints. Key components include:

• Proximity Sensor: Detects the presence of a person.
• Arduino Board: The main control unit that processes sensor data and controls the motors.
• Servo Motors: Used for actuating the robot's joints, specifically the elbow and wrist.
• Steeper Motor: Used in the elbow joint for precise control.
• Reed and Limit Switches: Placed in the joints to limit movement and ensure safety.
• Worm and Worm Wheel Mechanism: Used in certain joints for increased torque and precision.
• SMPS (Switch Mode Power Supply): Regulates and controls the power flow to the robot's components.

The Arduino code is responsible for:

• Reading the sensor input.
• Controlling the servo motors based on the sensor state.
• Monitoring the limit switches to restrict joint movement.

// Arduino code (included as provided in the original prompt)
cttc.hand.ino // code

• Static Robot: The current implementation is a static robot; it cannot move from its position.

• Basic Greeting: The greeting motion is limited to pre-programmed arm movements.

• Mobility: Implementing a mobile base for the robot to enable movement.

• Advanced Interactions: Incorporating more complex greeting behaviors, such as speech or gesture recognition.

• Object Recognition: Adding object recognition capabilities to allow the robot to interact with its environment.

• Open source