{"id":"W2516922826","doi":"10.15837/ijccc.2016.5.2680","title":"Application of Visual Servo Control in Autonomous Mobile Rescue Robots","year":2016,"lang":"en","type":"article","venue":"International Journal of Computers Communications & Control","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of British Columbia","funders":"","keywords":"Visual servoing; Mobile robot; Computer science; Computer vision; Artificial intelligence; Robot; Focus (optics); Servo; Servo control","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":[0.0006511742,0.0001391574,0.0003391732,0.0005088973,0.00005365366,0.00007113072,0.00397448,0.00004811608,0.000005715816],"category_scores_gemma":[0.00009695533,0.0001092198,0.0001614918,0.0002406342,0.0001252861,0.00101303,0.0003501328,0.0002101869,0.00001152228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002021215,"about_ca_system_score_gemma":0.0001558881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000276228,"about_ca_topic_score_gemma":0.00001381243,"domain_scores_codex":[0.9979244,0.0002524084,0.001009748,0.0001803815,0.0004579168,0.0001751387],"domain_scores_gemma":[0.9964099,0.0008605068,0.0007638942,0.0008550792,0.00102017,0.00009046178],"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":[0.0001511183,0.0006672199,0.005585899,0.000004451451,0.0001892488,0.00001393365,0.0003347719,0.01760517,0.0254867,0.02766546,0.0001765782,0.9221194],"study_design_scores_gemma":[0.006824224,0.0002355616,0.009838184,0.0002562058,0.00001496743,0.0001121915,0.00002705432,0.9672439,0.0006802601,0.003641116,0.01093483,0.0001915186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003651851,0.000494975,0.9850853,0.00993904,0.0004318857,0.0002346018,0.00000741131,0.0000305884,0.0001243455],"genre_scores_gemma":[0.9128328,0.0001534841,0.08616401,0.0007309642,0.00007244448,0.00002293327,0.000001473046,0.000009227575,0.00001269664],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9496387,"threshold_uncertainty_score":0.7385639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009087126127322332,"score_gpt":0.3130119573238609,"score_spread":0.3039248311965386,"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."}}