{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:6JUORHSXZ3JTIFUITSHVICAG4S","short_pith_number":"pith:6JUORHSX","schema_version":"1.0","canonical_sha256":"f268e89e57ced33416889c8f540806e4a5a6726ebf988516a2c6fcf77d636e4d","source":{"kind":"arxiv","id":"2509.00564","version":1},"attestation_state":"computed","paper":{"title":"Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.RO","authors_text":"Alan Hunter, Jack Saunders, Philip Lorimer, Wenbin Li","submitted_at":"2025-08-30T17:14:11Z","abstract_excerpt":"Free-roaming dollies enhance filmmaking with dynamic movement, but challenges in automated camera control remain unresolved. Our study advances this field by applying Reinforcement Learning (RL) to automate dolly-in shots using free-roaming ground-based filming robots, overcoming traditional control hurdles. We demonstrate the effectiveness of combined control for precise film tasks by comparing it to independent control strategies. Our robust RL pipeline surpasses traditional Proportional-Derivative controller performance in simulation and proves its efficacy in real-world tests on a modified"},"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":"2509.00564","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-08-30T17:14:11Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"755effa7acb67f0fb0afcb43b7526179aeab7af9b27500fa84aca57d13abb1ba","abstract_canon_sha256":"87f8905c38e2957ce806108ebf6620e4599eedddab4d6e366f708c9044f7dbe4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:02:18.531158Z","signature_b64":"gCBCVS3gxbrWRFlcxADrtJAdzq9bc6JhoqLqNMqh4jwrEivuo3tAyVLE+hge7q7WC6WhYtBv1VYZr94EE3e0Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f268e89e57ced33416889c8f540806e4a5a6726ebf988516a2c6fcf77d636e4d","last_reissued_at":"2026-07-05T12:02:18.530720Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:02:18.530720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.RO","authors_text":"Alan Hunter, Jack Saunders, Philip Lorimer, Wenbin Li","submitted_at":"2025-08-30T17:14:11Z","abstract_excerpt":"Free-roaming dollies enhance filmmaking with dynamic movement, but challenges in automated camera control remain unresolved. Our study advances this field by applying Reinforcement Learning (RL) to automate dolly-in shots using free-roaming ground-based filming robots, overcoming traditional control hurdles. We demonstrate the effectiveness of combined control for precise film tasks by comparing it to independent control strategies. Our robust RL pipeline surpasses traditional Proportional-Derivative controller performance in simulation and proves its efficacy in real-world tests on a modified"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.00564","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/2509.00564/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":"2509.00564","created_at":"2026-07-05T12:02:18.530776+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.00564v1","created_at":"2026-07-05T12:02:18.530776+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.00564","created_at":"2026-07-05T12:02:18.530776+00:00"},{"alias_kind":"pith_short_12","alias_value":"6JUORHSXZ3JT","created_at":"2026-07-05T12:02:18.530776+00:00"},{"alias_kind":"pith_short_16","alias_value":"6JUORHSXZ3JTIFUI","created_at":"2026-07-05T12:02:18.530776+00:00"},{"alias_kind":"pith_short_8","alias_value":"6JUORHSX","created_at":"2026-07-05T12:02:18.530776+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/6JUORHSXZ3JTIFUITSHVICAG4S","json":"https://pith.science/pith/6JUORHSXZ3JTIFUITSHVICAG4S.json","graph_json":"https://pith.science/api/pith-number/6JUORHSXZ3JTIFUITSHVICAG4S/graph.json","events_json":"https://pith.science/api/pith-number/6JUORHSXZ3JTIFUITSHVICAG4S/events.json","paper":"https://pith.science/paper/6JUORHSX"},"agent_actions":{"view_html":"https://pith.science/pith/6JUORHSXZ3JTIFUITSHVICAG4S","download_json":"https://pith.science/pith/6JUORHSXZ3JTIFUITSHVICAG4S.json","view_paper":"https://pith.science/paper/6JUORHSX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.00564&json=true","fetch_graph":"https://pith.science/api/pith-number/6JUORHSXZ3JTIFUITSHVICAG4S/graph.json","fetch_events":"https://pith.science/api/pith-number/6JUORHSXZ3JTIFUITSHVICAG4S/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6JUORHSXZ3JTIFUITSHVICAG4S/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6JUORHSXZ3JTIFUITSHVICAG4S/action/storage_attestation","attest_author":"https://pith.science/pith/6JUORHSXZ3JTIFUITSHVICAG4S/action/author_attestation","sign_citation":"https://pith.science/pith/6JUORHSXZ3JTIFUITSHVICAG4S/action/citation_signature","submit_replication":"https://pith.science/pith/6JUORHSXZ3JTIFUITSHVICAG4S/action/replication_record"}},"created_at":"2026-07-05T12:02:18.530776+00:00","updated_at":"2026-07-05T12:02:18.530776+00:00"}