Build journey

How the prototype came together.

The build moved through environment setup, perception validation, calibration, grasp tuning, and demo integration.

Phase 01

Environment and dependency validation

Start with reproducibility: environment setup, model loading, camera access, and self-test scripts before moving hardware.

Phase 02

Pure vision verification

Validate 2D detection quality and object categories before depth and calibration are expected to carry the whole stack.

Phase 03

Coordinate alignment

Use calibration to make camera output actionable. Without this step, robot motion is disconnected from perception.

Phase 04

Staged grasp validation

The key engineering decision was to validate alignment, motion policy, and hardware timing incrementally before claiming robust physical sorting.

Phase 05

Web-facing demo layer

The operator console and project website become communication layers for judges, teammates, and future contributors.

Build snapshots

What the work looked like during the hackathon.

These snapshots document assembly, coding, and submission work during the hackathon.

Assembly

Installing the dexterous hand

This assembly snapshot records the hardware integration work required before the robot could attempt physical sorting.

Team members installing the dexterous hand on the robotic arm.
Coding

Writing control code

This coding session shows the software integration phase where perception, coordinates, and motion control were connected.

Team member writing control code during the build process.
Submission

Pushing the work out

This submission photo captures the final packaging step that turned the build into a reviewable hackathon submission.

Team member preparing and uploading project materials beside the robot setup.
Calibration setup

Installing the calibration board

This setup clip documents the calibration step that enabled later coordinate transformation and robot targeting.

Calibration detail

Board placement in the workspace

This image shows the physical reference object positioned inside the robot workspace before calibration and follow control were tested.

Calibration board positioned in the robot workspace during setup.
Why it matters

Safe progress is faster progress.

Safe progress matters because it is one of the clearest signs of mature engineering judgment in a robotics project.

Engineering lessons

Calibration, failure recovery, and tuning

Reliability improved through repeated tuning of detections, coordinate alignment, and motion timing.

Documentation approach

Short captions keep the process readable.

The build journey is presented as milestones supported by photos and concrete results.