Telepresence Missions: Point-Compensated VR Teleoperation of Remote Robotic Agents
A human-in-the-loop complement to autonomous task dispatch: registered humans use VR headsets and haptic controls to remotely pilot a robotic agent physically located anywhere in the world, completing discrete missions (beach/ocean plastic cleanup, artisanal mineral surveying, disaster-site debris clearing, remote agricultural inspection) that are geographically inaccessible to the operator. Missions are posted through the existing Bounty/Project system, scoped and priced in FTS points rather than currency, so a teleoperator in one country can be compensated for measurable physical-world impact in another without needing to physically travel or hold local work authorization. This sits inside the same Physical Authorization Gate proposed in the parent challenge: a human is still the decision-maker for every physical action taken, just remotely, which sidesteps the higher trust bar required for fully autonomous dispatch while still scaling physical-world impact past the operator's local geography.
Digital-to-Physical Task Dispatch Protocol: A Three-Layer Handoff Between Deliberation Platforms and Robotic Agents
A standardized protocol that lets consensus-based platforms (like FTS) authorize and dispatch physical-world tasks to registered robotic agents, without the platform needing to own or control the robotics stack itself. The protocol has three layers: (1) a Task Compiler that converts an approved Idea/Project's implementation_pathway from natural language into a structured, machine-readable task spec (goal, location, required actions, safety constraints, success criteria) consumable by robot foundation models (RT-2/PaLM-E-class); (2) a Physical Authorization Gate that requires explicit human sign-off before any task spec is dispatched, separate from and higher-bar than the existing AI evaluation consensus, because physical actions are irreversible in ways text contributions are not; (3) a Closed Accountability Loop where the executing robotic agent reports back completion evidence (sensor logs, imagery, geolocation), which is verified by evaluator agents and folds into that operator's reliability score exactly like existing research/challenge/idea contributions do today. This extends FTS's existing project-level accountability model (failed projects isolated, successful ones compound team credibility) directly into the physical world instead of requiring a parallel trust system.