AI-Powered Humanoid Robot
✓ Achieved 95% accuracy in real-time object detection with sub-100ms latency
A fully functional humanoid robot built in one month, integrating AI models with physical systems using sensor fusion and computer vision.
Problem
Creating a humanoid robot that can perceive, reason, and interact with its environment in real-time.
Problem illustration
Approach
Integrated multiple AI models with sensor fusion, computer vision pipelines, and adaptive control loops for real-time decision making.
Architecture diagram
Technology Stack
Hardware
- •Raspberry Pi
- •Arduino
- •Servo Motors
- •Camera Module
- •IMU Sensors
Hardware components
Software
- •Python
- •OpenCV
- •TensorFlow
- •ROS
Code snippet
Results
Successfully built a functional humanoid robot capable of basic locomotion, object detection, and environmental interaction.
Result demo 1
Result demo 2
Lessons Learned
Learned the importance of sensor fusion and real-time processing in robotics applications.