Unmanned Aerial Vehicle for Laser Based Biomedical Sensor Development and Examination of Device Trajectory.

Area of Science:

• Biomedical Engineering
• Aerospace Engineering
• Robotics

Background:

• Brain-computer interfaces require efficient control of air-vehicles for human interaction.
• Urgent medication delivery is critical for patient care, especially during emergencies.
• Existing systems lack computationally efficient algorithms for energy-conscious autonomous operations.

Purpose of the Study:

• To design an energy-efficient unmanned logistic air-vehicle for spontaneous health monitoring and urgent medical supply delivery.
• To develop a computationally efficient algorithm for autonomous air-vehicle control.
• To address challenges in designing air-vehicles for rapid emergency response.

Main Methods:

• Controller design and signal processing for air-vehicle control.
• Development of a computationally efficient algorithm for autonomous navigation.
• Utilizing GPS for shortest distance calculation and payload capacity of 2kg.
• Recording vehicle movement for validation against theoretical models.

Main Results:

• The unmanned logistic air-vehicle successfully lifts a 2kg payload.
• Navigation accuracy showed a maximum deviation of 2% from theoretical investigations.
• The system enables timely and efficient delivery of emergency medications.

Conclusions:

• The developed biomedical sensor and air-vehicle system provide critical information for urgent patient medication.
• The system demonstrates satisfactory performance in terms of weight and time for medicine delivery.
• This technology offers a viable solution for rapid medical response in emergency situations.