Eyes and Voice
A calibrated camera, a marker's pose resolved in the arm's own frame, and a spoken instruction that gets validated before anything moves. The rule the whole stage is built on: the model proposes, and my code decides.
What this teaches me
- Done when
- An arm that sees and listens.
- Progress
- 0 of 7 sessions0%
Sessions 39 to 45
Eyes and voice
A camera calibrated properly, a marker's pose in the arm's own frame, and a spoken instruction validated before anything moves.
- Not built yet
Camera, calibrated
Explain what an intrinsic matrix and a distortion model each describe, and quote a reprojection error and say what it means.
- Not built yet
ArUco markers before neural networks
Explain what PnP solves and why four known corners in one calibrated image recover a full six-DOF pose.
- Not built yet
Hand-eye calibration
Explain what AX = XB is asking, and tell a calibration error from a noise problem by the shape of the error.
- Not built yet
Pick and place, closed loop
Enumerate a pipeline's failure modes before writing its happy path, and say what each one should do.
- Not built yet
Local speech to text
Measure a speech pipeline rather than demonstrating it, and quote a word error rate taken in the room you actually use.
- Not built yet
Language to intent
State why a model's output must be validated before it reaches anything that moves, and express that as a schema with bounds.
- Not built yet
Speak back
Explain why a refusal is worth more than a confirmation in assistive technology, and keep the phrases as data rather than code.