{"id":"W2010420021","doi":"10.3182/20110828-6-it-1002.03825","title":"Observer Design for Needle Steering Using Task-Induced Symmetry and Reduction","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Observer (physics); Planar; Control theory (sociology); Nonholonomic system; Orientation (vector space); Reduction (mathematics); Position (finance); Separation principle; Configuration space; Observable; Computer science; Computer vision; State observer; Artificial intelligence; Robot; Mathematics; Control (management); Physics; Mobile robot; Nonlinear system; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001025369,0.0001328763,0.0001271767,0.0000756259,0.0001181573,0.00006213028,0.00008224372,0.00008265432,0.000005801941],"category_scores_gemma":[0.00002322884,0.0001478391,0.00003273316,0.0001676351,0.00001959416,0.0002543753,0.00002295582,0.00007906034,0.000003602926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004500083,"about_ca_system_score_gemma":0.000008489819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002724988,"about_ca_topic_score_gemma":3.531372e-7,"domain_scores_codex":[0.9993758,0.000001167721,0.0001564421,0.0001822157,0.00006584403,0.0002185573],"domain_scores_gemma":[0.9997396,0.00001330852,0.00003638994,0.00006363427,0.00007733707,0.00006968602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002625593,0.0000677336,0.004910066,0.0005208544,0.0001574741,5.35355e-7,0.004297519,0.002591564,0.9629384,0.007953784,0.001664293,0.0148715],"study_design_scores_gemma":[0.0007353032,0.0001532562,0.01108502,0.0001461039,0.0001814228,0.00006008709,0.002210963,0.6701437,0.3072936,0.006114737,0.001001004,0.0008747453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537657,0.000162087,0.04464286,0.00001275911,0.0001886366,0.0003915297,0.000002936992,0.0003063658,0.0005271028],"genre_scores_gemma":[0.9084511,0.00001708907,0.0912383,0.000005959454,0.0001143391,0.00007305868,0.000001304087,0.00004350334,0.00005536632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6675522,"threshold_uncertainty_score":0.6028703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09041729257969755,"score_gpt":0.2422301147085403,"score_spread":0.1518128221288427,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}