AI HEXAPOD
Project overview
During my sophomore year of high school, I built a hexapod robot. Inspired by real hexapods, I designed, 3D-printed, and coded the robot, also creating a custom PCB for control. Additionally, I programmed a camera-equipped robotic arm with object recognition and automated picking capabilities. This project expanded my skills in robotics, computer vision, and PCB design, deepening my passion for engineering.
Timeline
6 months (June–November 2020)
Team
Solo project (self-directed)
Role
Lead Engineer
Components

Embedded systems development

Computer vision

PCB design

Inverse kinematics

Awards
Create Studio Best Design
STATUS
Completed
Tools

Fusion 360

Arduino IDE (C++)

Python (OpenCV)

KiCad

Design Process
The hexapod features three servo motors per leg (tibia, femur, coxa) for precise articulation, paired with an off-the-shelf robotic arm mounted on top. The entire shell was 3D printed for lightweight durability.
3D Render/CAD
Software / Electronics

Electronics Stack:

  • Arduino Mega for servo control and power management
  • Raspberry Pi running custom computer vision scripts
  • Custom PCB for signal distribution

Dual-Language System:

  • C++ (Arduino): Inverse kinematics solver with 4 biomimetic gaits
  • Python (RPi): OpenCV object detection + movement algorithms
Electronics
SOFTWARE
Challenges
Navigating through the project, I encountered a series of significant challenges, especially in developing the actuation technology. My initial approach, utilizing linear actuators, was hindered by their sluggish response and prohibitive cost. This led me to pivot towards servo motors. While servos offered improved efficiency, they brought their own set of issues, notably a tendency to break under strain. To mitigate this, I integrated temperature and current sensors to safeguard the motors from damage.
MEDIA

Other Projects

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© 2025 Charles Van Hook
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