{"id":"W1975080353","doi":"10.1109/cdc.2014.7039354","title":"A reach control approach to bumpless transfer of robotic manipulators","year":2014,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robot manipulator; Control theory (sociology); Control engineering; Robot end effector; Control (management); Computer science; Manipulator (device); Robot; Engineering; Artificial intelligence","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":[0.0001415302,0.0001026057,0.0002002199,0.00009252339,0.0000206383,0.00001281855,0.00009305916,0.00005092626,0.0000755781],"category_scores_gemma":[0.00001417728,0.00009457034,0.00005130913,0.0001369441,0.000008060823,0.0000464847,0.000004487405,0.0000875156,0.00004366471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001475115,"about_ca_system_score_gemma":0.000002500407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002377185,"about_ca_topic_score_gemma":0.000005189249,"domain_scores_codex":[0.9993755,0.00002897255,0.0002003405,0.0001172284,0.0001175444,0.0001604742],"domain_scores_gemma":[0.9996948,0.00003065258,0.000006685036,0.000166422,0.00002118305,0.00008028719],"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":[0.000003665248,0.00001276021,0.0009644613,0.00004762186,0.00001739697,8.068848e-8,0.0002207369,0.9749666,0.002161,0.02064346,0.0001505026,0.0008116852],"study_design_scores_gemma":[0.0004244792,0.000022074,0.01644743,0.000009853749,0.00001560381,0.000002032784,0.00005837207,0.9813027,0.0005268657,0.00002925196,0.001017585,0.0001437762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03170265,0.00001070171,0.9193952,0.00003272315,0.00007848883,0.0001456704,1.111331e-7,0.0002004718,0.04843396],"genre_scores_gemma":[0.9966775,5.988848e-7,0.002887109,0.00008953692,0.00004260719,0.00001006304,0.000003546009,0.00002874993,0.000260257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9649749,"threshold_uncertainty_score":0.3856467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629469851736834,"score_gpt":0.1987452062509628,"score_spread":0.1824505077335944,"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."}}