{"id":"W4360584419","doi":"10.2316/j.2023.206-0841","title":"ROBUST TRAJECTORY TRACKING WITH OPTIMAL VISUAL SERVOING ON A DEFORMABLE OBJECT, 180-193.","year":2023,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visual servoing; Computer vision; Artificial intelligence; Trajectory; Object (grammar); Computer science; Tracking (education); Video tracking; Image (mathematics); Psychology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002947288,0.00009018038,0.0001121037,0.0003426577,0.00009101547,0.0002832848,0.0002772396,0.00002287766,0.000003413765],"category_scores_gemma":[0.00004395593,0.00007052031,0.00004151752,0.0002162422,0.00001817556,0.001167861,0.00006015436,0.0001470065,0.000007906956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006141051,"about_ca_system_score_gemma":0.00006179231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001727177,"about_ca_topic_score_gemma":0.000001189812,"domain_scores_codex":[0.9989561,0.00002277822,0.0002749292,0.0001201721,0.0004944678,0.0001314793],"domain_scores_gemma":[0.9992382,0.00007802915,0.0002671333,0.00006407424,0.0002936316,0.00005893472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002489101,0.00003543303,0.0003067182,0.000006426104,0.00003478019,0.0000788662,0.0004741223,0.9126092,0.0008255709,0.002302391,0.00008668128,0.08321489],"study_design_scores_gemma":[0.0005555901,0.0001889746,0.007503198,0.0002200294,0.000005303258,0.0002629597,0.0001277495,0.9895929,0.0009864004,0.0002960387,0.0001690939,0.00009180113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1183312,0.00002658318,0.8797609,0.001138098,0.0004775962,0.00003708787,6.800378e-7,0.000068774,0.0001590596],"genre_scores_gemma":[0.8586268,0.00004843549,0.1409349,0.0001984443,0.0001284892,6.917102e-7,0.000002589684,0.000008465777,0.00005113519],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7402956,"threshold_uncertainty_score":0.2875735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277398329257791,"score_gpt":0.2868694436723176,"score_spread":0.2640954603797397,"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."}}