{"id":"W1979045098","doi":"10.1007/s10846-007-9173-6","title":"Reconfigurable Control Structure for Robots in Assembly","year":2007,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Reconfigurability; Control reconfiguration; SCARA; Control engineering; Controller (irrigation); Modular design; Robot; Changeover; Task (project management); Control system; Computer science; Scheme (mathematics); Robotics; Engineering; Embedded system; Artificial intelligence; Systems engineering","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":[0.001702446,0.0003039881,0.0008810156,0.0005982867,0.00004891125,0.0001190884,0.0003553053,0.0002576037,0.00003276365],"category_scores_gemma":[0.00009019046,0.000243073,0.000254382,0.0002214002,0.00002092657,0.0002105716,0.000004321797,0.0004138642,0.00001681111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003803784,"about_ca_system_score_gemma":0.00005811684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007399916,"about_ca_topic_score_gemma":0.00007869025,"domain_scores_codex":[0.997061,0.00006125157,0.001766716,0.0001741941,0.0003407151,0.0005961312],"domain_scores_gemma":[0.998399,0.0004813329,0.0004376129,0.0002357712,0.000248295,0.0001979908],"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":[0.00008179773,0.00002987108,0.0004998812,0.0005905788,0.0002211285,0.00005783727,0.0002152193,0.984813,0.00869421,0.000241308,0.001898489,0.002656658],"study_design_scores_gemma":[0.01078084,0.002222063,0.007177005,0.009745848,0.0005499221,0.006393928,0.007949555,0.4768665,0.4136755,0.001276052,0.0601966,0.003166196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2014529,0.01397714,0.7520636,0.0001158155,0.02440325,0.00184392,0.00001862282,0.0001528626,0.005971852],"genre_scores_gemma":[0.9978217,0.0001028742,0.0003813962,0.00002720164,0.001002679,0.000008006945,0.00000264096,0.00006367862,0.0005897545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7963689,"threshold_uncertainty_score":0.9912228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429036254460487,"score_gpt":0.2385321124834639,"score_spread":0.2242417499388591,"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."}}