{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QJST43YT7CF5BKV6DPZHELG6UO","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"db508c92c1fd8a4e318056fc68eea04863313656d4a0c7c686d25ada2789a069","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2019-09-30T11:31:59Z","title_canon_sha256":"ba72f7141fe7430491cb2fb232cf00214cc65ceb293ef9144b5f7f6363e5753c"},"schema_version":"1.0","source":{"id":"1909.13599","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.13599","created_at":"2026-07-05T00:10:04Z"},{"alias_kind":"arxiv_version","alias_value":"1909.13599v2","created_at":"2026-07-05T00:10:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.13599","created_at":"2026-07-05T00:10:04Z"},{"alias_kind":"pith_short_12","alias_value":"QJST43YT7CF5","created_at":"2026-07-05T00:10:04Z"},{"alias_kind":"pith_short_16","alias_value":"QJST43YT7CF5BKV6","created_at":"2026-07-05T00:10:04Z"},{"alias_kind":"pith_short_8","alias_value":"QJST43YT","created_at":"2026-07-05T00:10:04Z"}],"graph_snapshots":[{"event_id":"sha256:d3c764c9232bf93896ce1f55e9dce2b6ecb69eb5ca8c0706140290b247de240e","target":"graph","created_at":"2026-07-05T00:10:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1909.13599/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, a novel, end-to-end motion planning method is proposed for quadrotor navigation in cluttered environments. The proposed method circumvents the explicit sensing-reconstructing-planning in contrast to conventional navigation algorithms. It uses raw depth images obtained from a front-facing camera and directly generates local motion plans in the form of smooth motion primitives that move a quadrotor to a goal by avoiding obstacles. Promising training and testing results are presented in both AirSim simulations and real flights with DJI F330 Quadrotor equipped with Intel RealSense D4","authors_text":"Efe Camci, Erdal Kayacan","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2019-09-30T11:31:59Z","title":"End-to-End Motion Planning of Quadrotors Using Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.13599","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:98243f304e10660cc4f4d169b09c85e20614f764a5e983d93392ac25edfe8f37","target":"record","created_at":"2026-07-05T00:10:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"db508c92c1fd8a4e318056fc68eea04863313656d4a0c7c686d25ada2789a069","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2019-09-30T11:31:59Z","title_canon_sha256":"ba72f7141fe7430491cb2fb232cf00214cc65ceb293ef9144b5f7f6363e5753c"},"schema_version":"1.0","source":{"id":"1909.13599","kind":"arxiv","version":2}},"canonical_sha256":"82653e6f13f88bd0aabe1bf2722cdea3b65b06c9553e6dd303e2edf98dbd7842","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82653e6f13f88bd0aabe1bf2722cdea3b65b06c9553e6dd303e2edf98dbd7842","first_computed_at":"2026-07-05T00:10:04.870184Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:10:04.870184Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xa3VfX2ZkzZID0ydO1olywjgIRUHj1td/bofNBGFEcN9RnMBlD5xCC5wgZ4tek0gJH7+2fDqg+Ldp22Ze454Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:10:04.870574Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.13599","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:98243f304e10660cc4f4d169b09c85e20614f764a5e983d93392ac25edfe8f37","sha256:d3c764c9232bf93896ce1f55e9dce2b6ecb69eb5ca8c0706140290b247de240e"],"state_sha256":"2fc8b0b935547ec4e3ba9b09a50eb32561227ae8d53a6dd5454958d1b5119d9a"}