{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:CYA5ADWLW36EIVUNEJECNUVV4D","short_pith_number":"pith:CYA5ADWL","schema_version":"1.0","canonical_sha256":"1601d00ecbb6fc44568d224826d2b5e0d813119a7d14838c860d64ab45b4a427","source":{"kind":"arxiv","id":"1809.07560","version":1},"attestation_state":"computed","paper":{"title":"Multi-robot motion-formation distributed control with sensor self-calibration: experimental validation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Bayu Jayawardhana, Hector Garcia de Marina, Johan Siemonsma, Ming Cao","submitted_at":"2018-09-20T10:38:19Z","abstract_excerpt":"In this paper, we present the design and implementation of a robust motion formation distributed control algorithm for a team of mobile robots. The primary task for the team is to form a geometric shape, which can be freely translated and rotated at the same time. This approach makes the robots to behave as a cohesive whole, which can be useful in tasks such as collaborative transportation. The robustness of the algorithm relies on the fact that each robot employs only local measurements from a laser sensor which does not need to be off-line calibrated. Furthermore, robots do not need to excha"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1809.07560","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-09-20T10:38:19Z","cross_cats_sorted":[],"title_canon_sha256":"9dc81a3bfb4cffd4355488a8c6d2224980ff53b562bcd725144084054d8dbb3e","abstract_canon_sha256":"ca1615d7568cfcc1f8003ec165d128ddf58612f740c8314a39acb2512b776ec6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:15.906449Z","signature_b64":"yLb68/BPBSDsq909wvTOBNSWj57kKTC3VO50DSzjMc0SWOAsGPArPrJUCx1zDN1pU1olb4GQznycIQNzhFKAAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1601d00ecbb6fc44568d224826d2b5e0d813119a7d14838c860d64ab45b4a427","last_reissued_at":"2026-05-18T00:05:15.905775Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:15.905775Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multi-robot motion-formation distributed control with sensor self-calibration: experimental validation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Bayu Jayawardhana, Hector Garcia de Marina, Johan Siemonsma, Ming Cao","submitted_at":"2018-09-20T10:38:19Z","abstract_excerpt":"In this paper, we present the design and implementation of a robust motion formation distributed control algorithm for a team of mobile robots. The primary task for the team is to form a geometric shape, which can be freely translated and rotated at the same time. This approach makes the robots to behave as a cohesive whole, which can be useful in tasks such as collaborative transportation. The robustness of the algorithm relies on the fact that each robot employs only local measurements from a laser sensor which does not need to be off-line calibrated. Furthermore, robots do not need to excha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.07560","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1809.07560","created_at":"2026-05-18T00:05:15.905889+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.07560v1","created_at":"2026-05-18T00:05:15.905889+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.07560","created_at":"2026-05-18T00:05:15.905889+00:00"},{"alias_kind":"pith_short_12","alias_value":"CYA5ADWLW36E","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_16","alias_value":"CYA5ADWLW36EIVUN","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_8","alias_value":"CYA5ADWL","created_at":"2026-05-18T12:32:19.392346+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CYA5ADWLW36EIVUNEJECNUVV4D","json":"https://pith.science/pith/CYA5ADWLW36EIVUNEJECNUVV4D.json","graph_json":"https://pith.science/api/pith-number/CYA5ADWLW36EIVUNEJECNUVV4D/graph.json","events_json":"https://pith.science/api/pith-number/CYA5ADWLW36EIVUNEJECNUVV4D/events.json","paper":"https://pith.science/paper/CYA5ADWL"},"agent_actions":{"view_html":"https://pith.science/pith/CYA5ADWLW36EIVUNEJECNUVV4D","download_json":"https://pith.science/pith/CYA5ADWLW36EIVUNEJECNUVV4D.json","view_paper":"https://pith.science/paper/CYA5ADWL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.07560&json=true","fetch_graph":"https://pith.science/api/pith-number/CYA5ADWLW36EIVUNEJECNUVV4D/graph.json","fetch_events":"https://pith.science/api/pith-number/CYA5ADWLW36EIVUNEJECNUVV4D/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CYA5ADWLW36EIVUNEJECNUVV4D/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CYA5ADWLW36EIVUNEJECNUVV4D/action/storage_attestation","attest_author":"https://pith.science/pith/CYA5ADWLW36EIVUNEJECNUVV4D/action/author_attestation","sign_citation":"https://pith.science/pith/CYA5ADWLW36EIVUNEJECNUVV4D/action/citation_signature","submit_replication":"https://pith.science/pith/CYA5ADWLW36EIVUNEJECNUVV4D/action/replication_record"}},"created_at":"2026-05-18T00:05:15.905889+00:00","updated_at":"2026-05-18T00:05:15.905889+00:00"}