{"id":"W4200367103","doi":"10.1007/s10846-021-01516-w","title":"Visual Servoing of Unknown Objects for Family Service Robots","year":2021,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Visual servoing; Computer vision; Artificial intelligence; Robot; Computer science; Object (grammar); Service robot","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001729277,0.0002531663,0.0002468414,0.0002161173,0.0002154061,0.0001661783,0.0005859199,0.0002741385,0.0009271539],"category_scores_gemma":[0.0005013226,0.0001426138,0.0001667831,0.0001385438,0.0003006255,0.0003050707,0.000340122,0.0002256686,0.0002176104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002773019,"about_ca_system_score_gemma":0.00035132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002533764,"about_ca_topic_score_gemma":0.002040988,"domain_scores_codex":[0.9998273,0.00002307912,0.00000602401,0.0000559563,0.00006735935,0.00002026214],"domain_scores_gemma":[0.9998246,0.00004225004,0.0000477941,0.00003069541,0.00003563033,0.00001906856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004500373,0.00007382141,0.001888739,0.0001578657,0.0000212241,0.0003295339,0.000298037,0.1595305,0.4616435,0.002971721,0.001471875,0.3711632],"study_design_scores_gemma":[0.00002923758,0.0003471044,0.003439361,0.00001016745,0.00001022927,0.0002136119,0.00005365039,0.9036483,0.0865823,0.0009578571,0.004682882,0.00002525815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2163473,0.0002209223,0.7800879,0.00004974354,0.00003319394,0.00003771657,0.0000273049,0.001441379,0.001754593],"genre_scores_gemma":[0.9275734,0.00005256827,0.07082562,0.00001982095,0.000007452346,0.00002699657,0.00003567614,0.00003215291,0.001426302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002533764,"threshold_uncertainty_score":0.005037963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385830362740027,"score_gpt":0.2525873848578377,"score_spread":0.2287290812304374,"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."}}