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Robot swarms are proposed as a decentralized oracle layer that gathers and verifies real-world data before anchoring it on-chain, addressing the oracle problem where blockchains need trust-minimized inputs. Distributed agents with heterogeneous sensors can provide redundant measurements, local consensus, and cross‑checks that reduce single points of failure. Hardware attestation, geospatial triangulation, and cryptographic identities can strengthen data provenance, while staking and slashing can align incentives. Challenges include spoofing resistance, sybil control, maintenance costs, connectivity, and safe upgrade paths, as well as translating continuous analog observations into discrete, verifiable claims.