Robot Arm API Security: A Practical Design Checklist
Map trust boundaries, scope commands, reject ambiguous input, and build an audit trail that explains what actually happened.
LEARN / EXPLORE / BUILD
Practical field notes for the space between code and motion. Ten in-depth guides on robotics, remote control, AI workflows, and virtual games.
Choose a subject or start with the beginner’s guide. Every article separates design patterns from the local demo’s actual behavior, with a focused primary-source reference and a clear next step.
Map trust boundaries, scope commands, reject ambiguous input, and build an audit trail that explains what actually happened.
Design durable round IDs, replay handling, inventory updates, and transparent outcomes without trusting a client-side animation.
Model aim, descend, close, and return as explicit states. Keep virtual mechanics understandable and independent of frame rate.
Build a useful simulation test suite around interfaces, geometry, timing faults, sensors, and reproducible scenarios.
Choose communication patterns by the work they carry: configuration, live observations, or monitored robot actions.
Make positions meaningful with explicit units, coordinate frames, tool offsets, and a clear distinction between poses and paths.
Give an agent useful skills without unrestricted actuator access. Design narrow tools, reviewable plans, and honest outcomes.
Connect perception, scene state, planning, and execution without treating an AI prediction as permission to move.
Separate a responsive interface from a reliable command path, and make stale data, ownership, and recovery visible.
Start with the contract, not the motor. A practical guide to commands, feedback, capabilities, and a simulation-first workflow.
The RSS feed includes complete articles. Prefer a hands-on start? Open the local playground.
A little code. A lot to explore.
Start in the browser. Understand the interface. Build with clearer boundaries.