Skip to content

17. Applications and Implications, Project Development

Gantt Chart

Bill of Materials

Final Project Checklist – Applications, Implications, and Development

1. What will it do?

The project involves building a two-wheeled surveillance robot inspired by the Rainbow Six Siege drone. It will have mecanum wheels to allow for omnidirectional movement, a camera with AI for facial recognition, and potential features like jumping capabilities and a retractable camera system.

2. Who has done what beforehand?

Still searching for similar Fab Projects

3. What will you design?

  • Robot chassis and body that will holster 2 Mecanum wheels, the motors, and the camera.
  • Camera mount (possibly retractable)
  • Control and motor driver systems
  • AI-based face detection and camera webserver setup Week 3

4. What materials and components will be used?

  • ESP32-S3 xiao microcontrollers (x2)
  • Mecanum wheels
  • High-torque motors
  • Camera module (ESP32-S3 Xiao Sense)
  • Battery pack
  • 3D printed or laser-cut parts
  • Optional servos for retractable components week ()

5. Where will they come from?

Parts will be sourced from: - DigiKey - Adafruit - Amazon - Local fab lab (for 3D printing and laser cutting)

6. How much will they cost?

Component Estimated Cost
Mecanum wheels & motors $30
ESP32 & camera module $15–20
Battery and power system $10
Total $60-80

7. What parts and systems will be made?

  • Chassis and body
  • Camera mount (possibly retractable)
  • Motor control system
  • Face detection AI software
  • Communication system: networking between ESP32s

8. What processes will be used?

  • 3D printing / laser cutting
  • Circuit soldering and board milling
  • Arduino/C++ programming
  • CAD design for mechanical parts
  • Field testing for calibration

9. What questions need to be answered?

  • Can ESP32-S3 xiao efficiently use real-time AI detection?
  • How stable is the two-wheeled mecanum design?
  • Can it move side to side with only 2 wheels?
  • Are jumping and camera retraction even possible at the moment?
  • How much power do all systems need?

10. How will it be evaluated?

  • Stability and maneuverability
  • AI performance in face recognition
  • System integration and reliability

11. What tasks have been completed?

  • Concept idea
  • 3d-Designed model
  • Initial planning and design concepts
  • Motors acquired

12. What tasks remain?

  • Prototyping mechanical and electrical systems
  • AI and communication development
  • Assembly and testing
  • System integration
  • Documentation

13. What has worked? What hasn’t?

The wheels have not be working all expected.

14. What questions need to be resolved?

  • Using AI models for low-latency detection
  • Effective balancing of a 2-wheeled mecanum robot
  • Camera movement possibility?

15. What will happen when?

Refer to my Gantt Chart seen above

16. What have you learned?

Lessons learned will be added when project is completed

Last update: June 4, 2025