{"id":"W2898768899","doi":"10.1115/detc2018-86180","title":"Mobile Robot Regulation With Image Based Visual Servoing","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Visual servoing; Artificial intelligence; Computer vision; Mobile robot; Computer science; MATLAB; Frame (networking); Controller (irrigation); Robot; Feature (linguistics); Robotics; Object (grammar); Image processing; Servo control; Image (mathematics); Servo","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":[0.00008631675,0.0000710353,0.00006058811,0.00005448522,0.0001186531,0.0001138041,0.0002015931,0.00001279268,0.0001297175],"category_scores_gemma":[0.000006973686,0.00005244633,0.00001550779,0.0002608389,0.00004704411,0.0008522944,0.00007112396,0.00003887418,0.0001353767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001692763,"about_ca_system_score_gemma":0.00002941204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005315353,"about_ca_topic_score_gemma":0.000003841962,"domain_scores_codex":[0.9993594,0.00001742104,0.00008713295,0.0002308642,0.0001544545,0.0001507098],"domain_scores_gemma":[0.9995214,0.00001943925,0.00003670984,0.0002599549,0.0001113457,0.00005110896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006319768,0.0002225384,0.001497507,0.00002752133,0.00001313415,0.00002071996,0.001010676,0.004021379,0.3056983,0.01155772,0.003545319,0.672322],"study_design_scores_gemma":[0.0002609251,0.0002231238,0.0009907683,0.00001731628,9.167359e-7,0.000004190853,0.00002423176,0.9173146,0.07853302,0.0002693899,0.002260638,0.0001008292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003156495,0.000004949051,0.9882811,0.0001854196,0.00006763089,0.00008053052,7.517558e-8,0.0002316335,0.007992184],"genre_scores_gemma":[0.4163716,1.962507e-7,0.5822762,0.0005294124,0.00003498278,0.000003731826,6.723724e-7,0.000004518027,0.0007787136],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9132932,"threshold_uncertainty_score":0.2138699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007523366467794361,"score_gpt":0.2849618512165212,"score_spread":0.2774384847487269,"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."}}