{"id":"W2012255400","doi":"10.1145/2157689.2157826","title":"Johnny-0, a compliant, force-controlled and interactive humanoid autonomous robot","year":2012,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Humanoid robot; Holonomic; Human–computer interaction; Computer science; Motion (physics); Grippers; Reciprocal; Robot; Mobile robot; Artificial intelligence; Computer vision; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001002842,0.000151434,0.0002852897,0.00006910595,0.00005685204,0.00004654161,0.00006847259,0.00004987465,0.0005051757],"category_scores_gemma":[0.00001364109,0.0001247271,0.00006882802,0.00004602984,0.00002178053,0.0002572446,0.0000230307,0.0001193254,0.00017168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004935585,"about_ca_system_score_gemma":0.000006017452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001108015,"about_ca_topic_score_gemma":0.000007674503,"domain_scores_codex":[0.9993104,0.00002195001,0.0001999769,0.00009850786,0.00006811161,0.0003010743],"domain_scores_gemma":[0.9996069,0.00006864925,0.00002422537,0.0001357973,0.00002005807,0.0001443599],"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":[0.002021265,0.0020632,0.02157407,0.0007035833,0.006161625,0.00006461342,0.02585856,0.2035947,0.133108,0.182246,0.06045474,0.3621496],"study_design_scores_gemma":[0.01885185,0.0001324994,0.02617112,0.00004931009,0.0001662515,0.0001025616,0.0007595978,0.9371189,0.00247621,0.0005250028,0.01273152,0.0009151941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07276279,0.001770753,0.6035365,0.0005158537,0.001606936,0.001284222,0.000004449407,0.001346275,0.3171722],"genre_scores_gemma":[0.9926898,0.00001462202,0.00121054,0.0002085671,0.0001372738,0.0000512786,0.000002459411,0.00002299093,0.005662449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.919927,"threshold_uncertainty_score":0.553132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033493549596417,"score_gpt":0.2198309987108987,"score_spread":0.2094960632149345,"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."}}