Apichai Chuensuang@Rootz
4
Events attended
1
Submissions made
Thailand
1 year of experience
About me
Chief Governance Architect at Synapsa. Maintainer of the Universal AI Governance Framework (UAGF) at SATHIRA Institution. Building execution infrastructure where autonomous AI agents operate under bounded authority, evidence-first principles, and fail-closed enforcement.
🤓 Latest Submissions
RoboGuardian
RoboGuardian is a reference implementation of governed closed-loop execution for robotic manipulation. Open-loop robot plans assume that the world remains unchanged after planning. RoboGuardian addresses the failure case where that assumption becomes false: if an object moves after a plan is created, the system re-observes the environment, evaluates whether the plan is still valid, re-plans from fresh state, and executes only the refreshed action. In our controlled MuJoCo experiment using a bimanual dual SO-101 environment, the open-loop baseline failed 10/10 deterministic disturbed trials, while RoboGuardian recovered and completed 10/10 under the same tested condition. The stale action was never executed in the governed path. The project includes an Intel OpenVINO perception path, reproducible A/B/C reliability experiments, robustness testing across displacement, perception noise, observation-delay proxies, and dropped observations, plus measured control-loop latency. Under 2 cm perception noise, the system achieved 60% task success and 40% governed SAFE_STOP while preserving 0% stale-action execution. RoboGuardian is intentionally evidence-bounded. The current results are from controlled simulation; no physical SO-101 validation or safety certification is claimed. The repository includes pinned dependencies, invariant tests, a green GitHub Actions workflow, reproducible experiment artifacts, and a documented sim-to-real interface.
16 Sep 2026
