{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:KHFLBENMDXEQWLF65BGOEDTRWP","short_pith_number":"pith:KHFLBENM","schema_version":"1.0","canonical_sha256":"51cab091ac1dc90b2cbee84ce20e71b3f7d337fe628fb3cd8d6be7daf83bcba7","source":{"kind":"arxiv","id":"2103.05140","version":1},"attestation_state":"computed","paper":{"title":"Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Adam Norton, Dirk Holz, Stefan Schaal, Tim Kelch, Wenzhao Lian","submitted_at":"2021-03-08T23:46:48Z","abstract_excerpt":"In recent years, many learning based approaches have been studied to realize robotic manipulation and assembly tasks, often including vision and force/tactile feedback. However, it remains frequently unclear what is the baseline state-of-the-art performance and what are the bottleneck problems. In this work, we evaluate some off-the-shelf (OTS) industrial solutions on a recently introduced benchmark, the National Institute of Standards and Technology (NIST) Assembly Task Boards. A set of assembly tasks are introduced and baseline methods are provided to understand their intrinsic difficulty. M"},"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":"2103.05140","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2021-03-08T23:46:48Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"daf7209218d3aae038e66373cd095cb29140bfd9d7b6354e0001df4a7d16c35f","abstract_canon_sha256":"b70f6e3320c54589a5aa4367599e82c78ca776e42d5f7941f8aea4d22f308e85"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:21:22.939178Z","signature_b64":"CWqdeXkwornQ+0mg6/v3IAhCo8qRIyfaY4g6sJuTwCrQlojq7Y59vNdcHPy1ECKyaGuxy7CtzLhE92M87uPTDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51cab091ac1dc90b2cbee84ce20e71b3f7d337fe628fb3cd8d6be7daf83bcba7","last_reissued_at":"2026-07-05T02:21:22.938731Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:21:22.938731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Adam Norton, Dirk Holz, Stefan Schaal, Tim Kelch, Wenzhao Lian","submitted_at":"2021-03-08T23:46:48Z","abstract_excerpt":"In recent years, many learning based approaches have been studied to realize robotic manipulation and assembly tasks, often including vision and force/tactile feedback. However, it remains frequently unclear what is the baseline state-of-the-art performance and what are the bottleneck problems. In this work, we evaluate some off-the-shelf (OTS) industrial solutions on a recently introduced benchmark, the National Institute of Standards and Technology (NIST) Assembly Task Boards. A set of assembly tasks are introduced and baseline methods are provided to understand their intrinsic difficulty. M"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.05140","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/2103.05140/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":"2103.05140","created_at":"2026-07-05T02:21:22.938800+00:00"},{"alias_kind":"arxiv_version","alias_value":"2103.05140v1","created_at":"2026-07-05T02:21:22.938800+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.05140","created_at":"2026-07-05T02:21:22.938800+00:00"},{"alias_kind":"pith_short_12","alias_value":"KHFLBENMDXEQ","created_at":"2026-07-05T02:21:22.938800+00:00"},{"alias_kind":"pith_short_16","alias_value":"KHFLBENMDXEQWLF6","created_at":"2026-07-05T02:21:22.938800+00:00"},{"alias_kind":"pith_short_8","alias_value":"KHFLBENM","created_at":"2026-07-05T02:21:22.938800+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/KHFLBENMDXEQWLF65BGOEDTRWP","json":"https://pith.science/pith/KHFLBENMDXEQWLF65BGOEDTRWP.json","graph_json":"https://pith.science/api/pith-number/KHFLBENMDXEQWLF65BGOEDTRWP/graph.json","events_json":"https://pith.science/api/pith-number/KHFLBENMDXEQWLF65BGOEDTRWP/events.json","paper":"https://pith.science/paper/KHFLBENM"},"agent_actions":{"view_html":"https://pith.science/pith/KHFLBENMDXEQWLF65BGOEDTRWP","download_json":"https://pith.science/pith/KHFLBENMDXEQWLF65BGOEDTRWP.json","view_paper":"https://pith.science/paper/KHFLBENM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2103.05140&json=true","fetch_graph":"https://pith.science/api/pith-number/KHFLBENMDXEQWLF65BGOEDTRWP/graph.json","fetch_events":"https://pith.science/api/pith-number/KHFLBENMDXEQWLF65BGOEDTRWP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KHFLBENMDXEQWLF65BGOEDTRWP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KHFLBENMDXEQWLF65BGOEDTRWP/action/storage_attestation","attest_author":"https://pith.science/pith/KHFLBENMDXEQWLF65BGOEDTRWP/action/author_attestation","sign_citation":"https://pith.science/pith/KHFLBENMDXEQWLF65BGOEDTRWP/action/citation_signature","submit_replication":"https://pith.science/pith/KHFLBENMDXEQWLF65BGOEDTRWP/action/replication_record"}},"created_at":"2026-07-05T02:21:22.938800+00:00","updated_at":"2026-07-05T02:21:22.938800+00:00"}