{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:W4JWIKSCGD2LW3U63DXZNXK7K2","short_pith_number":"pith:W4JWIKSC","schema_version":"1.0","canonical_sha256":"b713642a4230f4bb6e9ed8ef96dd5f5697ef1eb4f76aed0ec65b63fbd47ff392","source":{"kind":"arxiv","id":"2306.17582","version":2},"attestation_state":"computed","paper":{"title":"ChatGPT for Robotics: Design Principles and Model Abilities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.HC","cs.LG","cs.RO"],"primary_cat":"cs.AI","authors_text":"Arthur Bucker, Ashish Kapoor, Rogerio Bonatti, Sai Vemprala","submitted_at":"2023-02-20T06:39:06Z","abstract_excerpt":"This paper presents an experimental study regarding the use of OpenAI's ChatGPT for robotics applications. We outline a strategy that combines design principles for prompt engineering and the creation of a high-level function library which allows ChatGPT to adapt to different robotics tasks, simulators, and form factors. We focus our evaluations on the effectiveness of different prompt engineering techniques and dialog strategies towards the execution of various types of robotics tasks. We explore ChatGPT's ability to use free-form dialog, parse XML tags, and to synthesize code, in addition to"},"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":"2306.17582","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-02-20T06:39:06Z","cross_cats_sorted":["cs.CL","cs.HC","cs.LG","cs.RO"],"title_canon_sha256":"7c3da730b7f9e9fd47bcaf8905b00068b3d93dd59fb4268b033bd5b5b979304c","abstract_canon_sha256":"ce7540c1037fbf4351628510cfa27d840c5b8f8df0f1c0bfefcb48f6304280af"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:32:54.135137Z","signature_b64":"M/6Ps5qtdLWgR8MXEMmyEf74H+NkPVDThSuf3eG91vWt8VEnJJ3ptBkrTaioU3BGBZrxfPrx9zCkvO/TCA78Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b713642a4230f4bb6e9ed8ef96dd5f5697ef1eb4f76aed0ec65b63fbd47ff392","last_reissued_at":"2026-07-05T06:32:54.134626Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:32:54.134626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ChatGPT for Robotics: Design Principles and Model Abilities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.HC","cs.LG","cs.RO"],"primary_cat":"cs.AI","authors_text":"Arthur Bucker, Ashish Kapoor, Rogerio Bonatti, Sai Vemprala","submitted_at":"2023-02-20T06:39:06Z","abstract_excerpt":"This paper presents an experimental study regarding the use of OpenAI's ChatGPT for robotics applications. We outline a strategy that combines design principles for prompt engineering and the creation of a high-level function library which allows ChatGPT to adapt to different robotics tasks, simulators, and form factors. We focus our evaluations on the effectiveness of different prompt engineering techniques and dialog strategies towards the execution of various types of robotics tasks. We explore ChatGPT's ability to use free-form dialog, parse XML tags, and to synthesize code, in addition to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.17582","kind":"arxiv","version":2},"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/2306.17582/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":"2306.17582","created_at":"2026-07-05T06:32:54.134694+00:00"},{"alias_kind":"arxiv_version","alias_value":"2306.17582v2","created_at":"2026-07-05T06:32:54.134694+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.17582","created_at":"2026-07-05T06:32:54.134694+00:00"},{"alias_kind":"pith_short_12","alias_value":"W4JWIKSCGD2L","created_at":"2026-07-05T06:32:54.134694+00:00"},{"alias_kind":"pith_short_16","alias_value":"W4JWIKSCGD2LW3U6","created_at":"2026-07-05T06:32:54.134694+00:00"},{"alias_kind":"pith_short_8","alias_value":"W4JWIKSC","created_at":"2026-07-05T06:32:54.134694+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":6,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.08448","citing_title":"Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents","ref_index":60,"is_internal_anchor":true},{"citing_arxiv_id":"2605.07306","citing_title":"BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation","ref_index":18,"is_internal_anchor":false},{"citing_arxiv_id":"2606.30613","citing_title":"Sequential Planning via Anchored Robotic Keypoints","ref_index":19,"is_internal_anchor":false},{"citing_arxiv_id":"2405.14093","citing_title":"A Survey on Vision-Language-Action Models for Embodied AI","ref_index":151,"is_internal_anchor":false},{"citing_arxiv_id":"2601.08454","citing_title":"Real2Sim via Active Perception with Behavior Trees Automatically Generated by VLMs","ref_index":20,"is_internal_anchor":false},{"citing_arxiv_id":"2605.07306","citing_title":"BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation","ref_index":18,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/W4JWIKSCGD2LW3U63DXZNXK7K2","json":"https://pith.science/pith/W4JWIKSCGD2LW3U63DXZNXK7K2.json","graph_json":"https://pith.science/api/pith-number/W4JWIKSCGD2LW3U63DXZNXK7K2/graph.json","events_json":"https://pith.science/api/pith-number/W4JWIKSCGD2LW3U63DXZNXK7K2/events.json","paper":"https://pith.science/paper/W4JWIKSC"},"agent_actions":{"view_html":"https://pith.science/pith/W4JWIKSCGD2LW3U63DXZNXK7K2","download_json":"https://pith.science/pith/W4JWIKSCGD2LW3U63DXZNXK7K2.json","view_paper":"https://pith.science/paper/W4JWIKSC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2306.17582&json=true","fetch_graph":"https://pith.science/api/pith-number/W4JWIKSCGD2LW3U63DXZNXK7K2/graph.json","fetch_events":"https://pith.science/api/pith-number/W4JWIKSCGD2LW3U63DXZNXK7K2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W4JWIKSCGD2LW3U63DXZNXK7K2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W4JWIKSCGD2LW3U63DXZNXK7K2/action/storage_attestation","attest_author":"https://pith.science/pith/W4JWIKSCGD2LW3U63DXZNXK7K2/action/author_attestation","sign_citation":"https://pith.science/pith/W4JWIKSCGD2LW3U63DXZNXK7K2/action/citation_signature","submit_replication":"https://pith.science/pith/W4JWIKSCGD2LW3U63DXZNXK7K2/action/replication_record"}},"created_at":"2026-07-05T06:32:54.134694+00:00","updated_at":"2026-07-05T06:32:54.134694+00:00"}