IR Intelligent Robotic Sorting
Team and credits

The people and responsibilities behind the prototype.

The team combined robotics integration, system debugging, documentation, and demo operations to deliver the prototype.

Luna Zhang

Luna Zhang

Systems integration, documentation, and demo operations

  • Managed project documentation and presentation materials.
  • Coordinated the workflow across the hackathon build.
  • Handled the software-hardware interface and fixed communication bugs between the computer system and the robot.
Tang Fuqing

Tang Fuqing

Vision-to-robot pipeline, coordinates, and manipulator control

  • Integrated the YOLO11 model into the live system.
  • Developed the coordinate transformation pipeline from image-space to actionable robot-space positioning data.
  • Focused on robotic arm programming and the physical integration between the arm and the dexterous hand.
Advisors

Zhen Fan and Yi Shao

Guiding instructors who supported the project direction, system thinking, and technical development during the hackathon build.

Team photo

The people behind the prototype.

These photos show both the team working in the lab and the pair behind the final hackathon submission.

Team Collaboration

Working through the build together

This collaboration photo shows the team in the actual project environment, working through system integration beside the robot and laptop.

Team members collaborating at a laptop beside the robotics setup.
Team Portrait

The pair behind the project

This portrait gives the site a direct team identity beyond the robotics workspace itself.

The two project members posing together outdoors.
What we learned

Vision alone is not physical intelligence

The team learned that using YOLO11 in a real robotic context demands spatial reasoning, timing, calibration, and system integration well beyond pure model training.

Future plans

BinaryAttention, more categories, broader deployment

The next stage is to integrate BinaryAttention with YOLO11, expand beyond bottles and cups, and explore more scalable deployment on constrained devices.