{"id":"W2142427249","doi":"10.1109/icsmc.1989.71400","title":"Position and force control approach to automatic deburring by a robot manipulator","year":2003,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robot; Control theory (sociology); Position (finance); Controller (irrigation); Process (computing); Control engineering; Motion control; Computer science; Robot control; Motion (physics); Artificial intelligence; Engineering; Control (management); Mobile robot","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001409077,0.0003738295,0.0002591071,0.0002217673,0.0003380943,0.0004002311,0.0007059133,0.0005459064,0.002667048],"category_scores_gemma":[0.0002512642,0.0001607272,0.0001929551,0.0001377936,0.0006501687,0.0003497472,0.0003736178,0.0003941033,0.0002277248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002896747,"about_ca_system_score_gemma":0.0002823742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002404566,"about_ca_topic_score_gemma":0.001852591,"domain_scores_codex":[0.9998944,0.00001608509,0.000004780124,0.00002535203,0.00004855416,0.00001087086],"domain_scores_gemma":[0.9999121,0.00002738849,0.00002166751,0.00001017504,0.00002171037,0.000006942691],"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":[0.0001523975,0.0001068574,0.0003347724,0.0002079182,0.00003272984,0.0005504779,0.0003977004,0.5118962,0.1537836,0.08824939,0.001917505,0.2423704],"study_design_scores_gemma":[0.00003042914,0.0001593303,0.0002212071,0.000007688329,0.000007797622,0.0001134095,0.00001549221,0.9788889,0.008075252,0.00814533,0.004318687,0.00001650492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02481617,0.0004783897,0.9622056,0.0002150779,0.00005957776,0.00003957336,0.000009288979,0.0003961117,0.01178017],"genre_scores_gemma":[0.8298761,0.0005501109,0.1521417,0.0001232845,0.000106415,0.0001241024,0.0000204586,0.00004009647,0.01701779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002667048,"threshold_uncertainty_score":0.00892216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008356776593965472,"score_gpt":0.1940287947369281,"score_spread":0.1856720181429626,"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."}}