Teaching a Robot to Build Patterns
A robot that picks, moves, and places particles to build structured patterns
Key insight
A robot that builds patterns from individual particles sounds simple — until it has to do it reliably.
Each step must work every time:
- find the particle
- pick it without failure
- move precisely
- place it exactly where it belongs
This project turns that sequence into a repeatable, autonomous loop.
System
- Robotic arm with vacuum suction end-effector
- Python control pipeline for motion and sequencing
- Color-based particle detection
- Goal: assemble predefined patterns from individual particles
What I did
Built a full pick-and-place loop:
- move to particle location
- detect particle (color-based)
- activate suction and pick
- move to target position
- release suction and place
On top of this:
- generated structured patterns (e.g., Yin–Yang)
- tested with particles of different shapes and sizes
Methods & tools
- Language: Python
- Control: sequential command pipeline
- Gripping: vacuum suction system
- Perception: color-based detection
- Task: discrete particle manipulation and placement
Key results
1. Reliable manipulation
- Consistent pick-and-place across repeated trials
- Accurate positioning at target locations
2. Pattern formation
- Successfully assembled predefined designs
- Structure emerges from repeated local actions
3. Robust behavior
- Works with both spherical and irregular particles
- Handles variation without changing the pipeline
Takeaway
Complex structure does not require complex logic.
With a simple perception–action loop, a robot can reliably pick, move, and place particles to build organized patterns.