{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:MLWU3BCLCKA3N7M3MRGDFNMRDC","short_pith_number":"pith:MLWU3BCL","schema_version":"1.0","canonical_sha256":"62ed4d844b1281b6fd9b644c32b59118bd029c549ff56d2d34622cc50a407744","source":{"kind":"arxiv","id":"1809.06268","version":3},"attestation_state":"computed","paper":{"title":"Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Bing Fang, Fuchun Sun, Hongzhuo Liang, Jianwei Zhang, Michael G\\\"orner, Philipp Ruppel, Shuang Li, Xiaojian Ma","submitted_at":"2018-09-17T15:03:02Z","abstract_excerpt":"In this paper, we present TeachNet, a novel neural network architecture for intuitive and markerless vision-based teleoperation of dexterous robotic hands. Robot joint angles are directly generated from depth images of the human hand that produce visually similar robot hand poses in an end-to-end fashion. The special structure of TeachNet, combined with a consistency loss function, handles the differences in appearance and anatomy between human and robotic hands. A synchronized human-robot training set is generated from an existing dataset of labeled depth images of the human hand and simulate"},"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":"1809.06268","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-09-17T15:03:02Z","cross_cats_sorted":[],"title_canon_sha256":"ecf37f073cab35cf70f3562b1c38e646d84f9fdd68bd7dfa2f7e56369fc21d35","abstract_canon_sha256":"e7a19efdfaef58d6b8b615baf0320cd7eec657babf149712adc5bd51cc7787e4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:50.780359Z","signature_b64":"XCPT0Rq6SxF50ijJNXzeTQKq+XRycy4A44SVwDW8MdLtuizO4OPw38b9Td/QWu1sZqS379FLK9VBr2DMMOxzAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"62ed4d844b1281b6fd9b644c32b59118bd029c549ff56d2d34622cc50a407744","last_reissued_at":"2026-05-17T23:53:50.779563Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:50.779563Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Bing Fang, Fuchun Sun, Hongzhuo Liang, Jianwei Zhang, Michael G\\\"orner, Philipp Ruppel, Shuang Li, Xiaojian Ma","submitted_at":"2018-09-17T15:03:02Z","abstract_excerpt":"In this paper, we present TeachNet, a novel neural network architecture for intuitive and markerless vision-based teleoperation of dexterous robotic hands. Robot joint angles are directly generated from depth images of the human hand that produce visually similar robot hand poses in an end-to-end fashion. The special structure of TeachNet, combined with a consistency loss function, handles the differences in appearance and anatomy between human and robotic hands. A synchronized human-robot training set is generated from an existing dataset of labeled depth images of the human hand and simulate"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.06268","kind":"arxiv","version":3},"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":"1809.06268","created_at":"2026-05-17T23:53:50.779686+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.06268v3","created_at":"2026-05-17T23:53:50.779686+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.06268","created_at":"2026-05-17T23:53:50.779686+00:00"},{"alias_kind":"pith_short_12","alias_value":"MLWU3BCLCKA3","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_16","alias_value":"MLWU3BCLCKA3N7M3","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_8","alias_value":"MLWU3BCL","created_at":"2026-05-18T12:32:37.024351+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/MLWU3BCLCKA3N7M3MRGDFNMRDC","json":"https://pith.science/pith/MLWU3BCLCKA3N7M3MRGDFNMRDC.json","graph_json":"https://pith.science/api/pith-number/MLWU3BCLCKA3N7M3MRGDFNMRDC/graph.json","events_json":"https://pith.science/api/pith-number/MLWU3BCLCKA3N7M3MRGDFNMRDC/events.json","paper":"https://pith.science/paper/MLWU3BCL"},"agent_actions":{"view_html":"https://pith.science/pith/MLWU3BCLCKA3N7M3MRGDFNMRDC","download_json":"https://pith.science/pith/MLWU3BCLCKA3N7M3MRGDFNMRDC.json","view_paper":"https://pith.science/paper/MLWU3BCL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.06268&json=true","fetch_graph":"https://pith.science/api/pith-number/MLWU3BCLCKA3N7M3MRGDFNMRDC/graph.json","fetch_events":"https://pith.science/api/pith-number/MLWU3BCLCKA3N7M3MRGDFNMRDC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MLWU3BCLCKA3N7M3MRGDFNMRDC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MLWU3BCLCKA3N7M3MRGDFNMRDC/action/storage_attestation","attest_author":"https://pith.science/pith/MLWU3BCLCKA3N7M3MRGDFNMRDC/action/author_attestation","sign_citation":"https://pith.science/pith/MLWU3BCLCKA3N7M3MRGDFNMRDC/action/citation_signature","submit_replication":"https://pith.science/pith/MLWU3BCLCKA3N7M3MRGDFNMRDC/action/replication_record"}},"created_at":"2026-05-17T23:53:50.779686+00:00","updated_at":"2026-05-17T23:53:50.779686+00:00"}