{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:AD3NXYXUIKJ2GRCRA472O5DXRN","short_pith_number":"pith:AD3NXYXU","schema_version":"1.0","canonical_sha256":"00f6dbe2f44293a34451073fa774778b43158d4b31cb5c49688ac596e1940e42","source":{"kind":"arxiv","id":"2507.13277","version":1},"attestation_state":"computed","paper":{"title":"Evaluating Reinforcement Learning Algorithms for Navigation in Simulated Robotic Quadrupeds: A Comparative Study Inspired by Guide Dog Behaviour","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.RO","authors_text":"Emma M. A. Harrison","submitted_at":"2025-07-17T16:38:14Z","abstract_excerpt":"Robots are increasingly integrated across industries, particularly in healthcare. However, many valuable applications for quadrupedal robots remain overlooked. This research explores the effectiveness of three reinforcement learning algorithms in training a simulated quadruped robot for autonomous navigation and obstacle avoidance. The goal is to develop a robotic guide dog simulation capable of path following and obstacle avoidance, with long-term potential for real-world assistance to guide dogs and visually impaired individuals. It also seeks to expand research into medical 'pets', includin"},"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":"2507.13277","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-07-17T16:38:14Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b25363894b6ec31075447337613cfb299155a988ba4c906d588089da8dbfd6cc","abstract_canon_sha256":"e848881ed2e186ae53b23172a585e60b4b6c54f491af51ca51ab810f35582cef"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:38:58.404924Z","signature_b64":"BX7XduG9jMjkznIezW6lYF3vPq0gUL3AiZWqdObnVDDqMMPbKpUHIvXCEkOEESTZnCiMvUEEM46H+mmneXDyBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"00f6dbe2f44293a34451073fa774778b43158d4b31cb5c49688ac596e1940e42","last_reissued_at":"2026-07-05T11:38:58.404443Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:38:58.404443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluating Reinforcement Learning Algorithms for Navigation in Simulated Robotic Quadrupeds: A Comparative Study Inspired by Guide Dog Behaviour","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.RO","authors_text":"Emma M. A. Harrison","submitted_at":"2025-07-17T16:38:14Z","abstract_excerpt":"Robots are increasingly integrated across industries, particularly in healthcare. However, many valuable applications for quadrupedal robots remain overlooked. This research explores the effectiveness of three reinforcement learning algorithms in training a simulated quadruped robot for autonomous navigation and obstacle avoidance. The goal is to develop a robotic guide dog simulation capable of path following and obstacle avoidance, with long-term potential for real-world assistance to guide dogs and visually impaired individuals. It also seeks to expand research into medical 'pets', includin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.13277","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.13277/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2507.13277","created_at":"2026-07-05T11:38:58.404499+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.13277v1","created_at":"2026-07-05T11:38:58.404499+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.13277","created_at":"2026-07-05T11:38:58.404499+00:00"},{"alias_kind":"pith_short_12","alias_value":"AD3NXYXUIKJ2","created_at":"2026-07-05T11:38:58.404499+00:00"},{"alias_kind":"pith_short_16","alias_value":"AD3NXYXUIKJ2GRCR","created_at":"2026-07-05T11:38:58.404499+00:00"},{"alias_kind":"pith_short_8","alias_value":"AD3NXYXU","created_at":"2026-07-05T11:38:58.404499+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/AD3NXYXUIKJ2GRCRA472O5DXRN","json":"https://pith.science/pith/AD3NXYXUIKJ2GRCRA472O5DXRN.json","graph_json":"https://pith.science/api/pith-number/AD3NXYXUIKJ2GRCRA472O5DXRN/graph.json","events_json":"https://pith.science/api/pith-number/AD3NXYXUIKJ2GRCRA472O5DXRN/events.json","paper":"https://pith.science/paper/AD3NXYXU"},"agent_actions":{"view_html":"https://pith.science/pith/AD3NXYXUIKJ2GRCRA472O5DXRN","download_json":"https://pith.science/pith/AD3NXYXUIKJ2GRCRA472O5DXRN.json","view_paper":"https://pith.science/paper/AD3NXYXU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.13277&json=true","fetch_graph":"https://pith.science/api/pith-number/AD3NXYXUIKJ2GRCRA472O5DXRN/graph.json","fetch_events":"https://pith.science/api/pith-number/AD3NXYXUIKJ2GRCRA472O5DXRN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AD3NXYXUIKJ2GRCRA472O5DXRN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AD3NXYXUIKJ2GRCRA472O5DXRN/action/storage_attestation","attest_author":"https://pith.science/pith/AD3NXYXUIKJ2GRCRA472O5DXRN/action/author_attestation","sign_citation":"https://pith.science/pith/AD3NXYXUIKJ2GRCRA472O5DXRN/action/citation_signature","submit_replication":"https://pith.science/pith/AD3NXYXUIKJ2GRCRA472O5DXRN/action/replication_record"}},"created_at":"2026-07-05T11:38:58.404499+00:00","updated_at":"2026-07-05T11:38:58.404499+00:00"}