{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:2Z7TXOF3TBKK2CF3TYA32AQVDN","short_pith_number":"pith:2Z7TXOF3","schema_version":"1.0","canonical_sha256":"d67f3bb8bb9854ad08bb9e01bd02151b61ac24dc02b28e4dcbcb6f6744ec9d84","source":{"kind":"arxiv","id":"1312.3738","version":1},"attestation_state":"computed","paper":{"title":"Path Based Mapping Technique for Robots","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Amiraj Dhawan, George Puthanpurackal, Parag Oak, Rahul Mishra","submitted_at":"2013-12-13T09:19:41Z","abstract_excerpt":"The purpose of this paper is to explore a new way of autonomous mapping. Current systems using perception techniques like LAZER or SONAR use probabilistic methods and have a drawback of allowing considerable uncertainty in the mapping process. Our approach is to break down the environment, specifically indoor, into reachable areas and objects, separated by boundaries, and identifying their shape, to render various navigable paths around them. This is a novel method to do away with uncertainties, as far as possible, at the cost of temporal efficiency. Also this system demands only minimum and c"},"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":"1312.3738","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2013-12-13T09:19:41Z","cross_cats_sorted":[],"title_canon_sha256":"ee8b69c28fcfe7a02de1062596abb11db2724bb4d74d3af7e3f3c54a3bec1ad9","abstract_canon_sha256":"8b7d8961f93c08ee6af0230d3c081339ae135698654e0ea9e98b11c7293f3aab"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:04:47.788613Z","signature_b64":"OnNhm/KnePhkj/q0jQbBe5x66u387lUaFsHSCdITgh2B5lh0awguJqJ9fKRz17eVbE/N103OcH9oUY++IhMjAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d67f3bb8bb9854ad08bb9e01bd02151b61ac24dc02b28e4dcbcb6f6744ec9d84","last_reissued_at":"2026-05-18T03:04:47.787875Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:04:47.787875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Path Based Mapping Technique for Robots","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Amiraj Dhawan, George Puthanpurackal, Parag Oak, Rahul Mishra","submitted_at":"2013-12-13T09:19:41Z","abstract_excerpt":"The purpose of this paper is to explore a new way of autonomous mapping. Current systems using perception techniques like LAZER or SONAR use probabilistic methods and have a drawback of allowing considerable uncertainty in the mapping process. Our approach is to break down the environment, specifically indoor, into reachable areas and objects, separated by boundaries, and identifying their shape, to render various navigable paths around them. This is a novel method to do away with uncertainties, as far as possible, at the cost of temporal efficiency. Also this system demands only minimum and c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.3738","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":"1312.3738","created_at":"2026-05-18T03:04:47.787999+00:00"},{"alias_kind":"arxiv_version","alias_value":"1312.3738v1","created_at":"2026-05-18T03:04:47.787999+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.3738","created_at":"2026-05-18T03:04:47.787999+00:00"},{"alias_kind":"pith_short_12","alias_value":"2Z7TXOF3TBKK","created_at":"2026-05-18T12:27:32.513160+00:00"},{"alias_kind":"pith_short_16","alias_value":"2Z7TXOF3TBKK2CF3","created_at":"2026-05-18T12:27:32.513160+00:00"},{"alias_kind":"pith_short_8","alias_value":"2Z7TXOF3","created_at":"2026-05-18T12:27:32.513160+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/2Z7TXOF3TBKK2CF3TYA32AQVDN","json":"https://pith.science/pith/2Z7TXOF3TBKK2CF3TYA32AQVDN.json","graph_json":"https://pith.science/api/pith-number/2Z7TXOF3TBKK2CF3TYA32AQVDN/graph.json","events_json":"https://pith.science/api/pith-number/2Z7TXOF3TBKK2CF3TYA32AQVDN/events.json","paper":"https://pith.science/paper/2Z7TXOF3"},"agent_actions":{"view_html":"https://pith.science/pith/2Z7TXOF3TBKK2CF3TYA32AQVDN","download_json":"https://pith.science/pith/2Z7TXOF3TBKK2CF3TYA32AQVDN.json","view_paper":"https://pith.science/paper/2Z7TXOF3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1312.3738&json=true","fetch_graph":"https://pith.science/api/pith-number/2Z7TXOF3TBKK2CF3TYA32AQVDN/graph.json","fetch_events":"https://pith.science/api/pith-number/2Z7TXOF3TBKK2CF3TYA32AQVDN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2Z7TXOF3TBKK2CF3TYA32AQVDN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2Z7TXOF3TBKK2CF3TYA32AQVDN/action/storage_attestation","attest_author":"https://pith.science/pith/2Z7TXOF3TBKK2CF3TYA32AQVDN/action/author_attestation","sign_citation":"https://pith.science/pith/2Z7TXOF3TBKK2CF3TYA32AQVDN/action/citation_signature","submit_replication":"https://pith.science/pith/2Z7TXOF3TBKK2CF3TYA32AQVDN/action/replication_record"}},"created_at":"2026-05-18T03:04:47.787999+00:00","updated_at":"2026-05-18T03:04:47.787999+00:00"}