{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:VYJHCQMT47PSCLE2KTVJMSJUHV","short_pith_number":"pith:VYJHCQMT","schema_version":"1.0","canonical_sha256":"ae12714193e7df212c9a54ea9649343d6f14cce266d426f04448bdb20d509801","source":{"kind":"arxiv","id":"1709.03211","version":1},"attestation_state":"computed","paper":{"title":"A Nonparametric Motion Flow Model for Human Robot Cooperation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"H. Andy Park, Kyungjae Lee, Songhwai Oh, Sungjoon Choi","submitted_at":"2017-09-11T01:50:10Z","abstract_excerpt":"In this paper, we present a novel nonparametric motion flow model that effectively describes a motion trajectory of a human and its application to human robot cooperation. To this end, motion flow similarity measure which considers both spatial and temporal properties of a trajectory is proposed by utilizing the mean and variance functions of a Gaussian process. We also present a human robot cooperation method using the proposed motion flow model. Given a set of interacting trajectories of two workers, the underlying reward function of cooperating behaviors is optimized by using the learned mo"},"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":"1709.03211","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2017-09-11T01:50:10Z","cross_cats_sorted":[],"title_canon_sha256":"79e5e06c6be294f3dd73777a93aafe9c25e12008d13b3a59b0f13db97c04de52","abstract_canon_sha256":"c7682abffdd65fa470de3b37b1595abe9fa9259b37755f359caae832604355de"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:39.033685Z","signature_b64":"M6P0V4Cm7cXEDHp6YvCdZhc/+QP1Uk5zapqjsh3yekstc+dJl4WwcIdeCtfVXVyGOO+pL58pCEPa7kI0kAz7BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae12714193e7df212c9a54ea9649343d6f14cce266d426f04448bdb20d509801","last_reissued_at":"2026-05-18T00:35:39.033101Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:39.033101Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Nonparametric Motion Flow Model for Human Robot Cooperation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"H. Andy Park, Kyungjae Lee, Songhwai Oh, Sungjoon Choi","submitted_at":"2017-09-11T01:50:10Z","abstract_excerpt":"In this paper, we present a novel nonparametric motion flow model that effectively describes a motion trajectory of a human and its application to human robot cooperation. To this end, motion flow similarity measure which considers both spatial and temporal properties of a trajectory is proposed by utilizing the mean and variance functions of a Gaussian process. We also present a human robot cooperation method using the proposed motion flow model. Given a set of interacting trajectories of two workers, the underlying reward function of cooperating behaviors is optimized by using the learned mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.03211","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":"1709.03211","created_at":"2026-05-18T00:35:39.033202+00:00"},{"alias_kind":"arxiv_version","alias_value":"1709.03211v1","created_at":"2026-05-18T00:35:39.033202+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.03211","created_at":"2026-05-18T00:35:39.033202+00:00"},{"alias_kind":"pith_short_12","alias_value":"VYJHCQMT47PS","created_at":"2026-05-18T12:31:49.984773+00:00"},{"alias_kind":"pith_short_16","alias_value":"VYJHCQMT47PSCLE2","created_at":"2026-05-18T12:31:49.984773+00:00"},{"alias_kind":"pith_short_8","alias_value":"VYJHCQMT","created_at":"2026-05-18T12:31:49.984773+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/VYJHCQMT47PSCLE2KTVJMSJUHV","json":"https://pith.science/pith/VYJHCQMT47PSCLE2KTVJMSJUHV.json","graph_json":"https://pith.science/api/pith-number/VYJHCQMT47PSCLE2KTVJMSJUHV/graph.json","events_json":"https://pith.science/api/pith-number/VYJHCQMT47PSCLE2KTVJMSJUHV/events.json","paper":"https://pith.science/paper/VYJHCQMT"},"agent_actions":{"view_html":"https://pith.science/pith/VYJHCQMT47PSCLE2KTVJMSJUHV","download_json":"https://pith.science/pith/VYJHCQMT47PSCLE2KTVJMSJUHV.json","view_paper":"https://pith.science/paper/VYJHCQMT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1709.03211&json=true","fetch_graph":"https://pith.science/api/pith-number/VYJHCQMT47PSCLE2KTVJMSJUHV/graph.json","fetch_events":"https://pith.science/api/pith-number/VYJHCQMT47PSCLE2KTVJMSJUHV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VYJHCQMT47PSCLE2KTVJMSJUHV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VYJHCQMT47PSCLE2KTVJMSJUHV/action/storage_attestation","attest_author":"https://pith.science/pith/VYJHCQMT47PSCLE2KTVJMSJUHV/action/author_attestation","sign_citation":"https://pith.science/pith/VYJHCQMT47PSCLE2KTVJMSJUHV/action/citation_signature","submit_replication":"https://pith.science/pith/VYJHCQMT47PSCLE2KTVJMSJUHV/action/replication_record"}},"created_at":"2026-05-18T00:35:39.033202+00:00","updated_at":"2026-05-18T00:35:39.033202+00:00"}