{"id":"W4386577713","doi":"10.1016/j.conengprac.2023.105691","title":"Coordination control of the automated fiber placement system using photogrammetry-based leader–follower approach","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Workspace; Trajectory; Robot; Photogrammetry; Computer science; Orientation (vector space); Position (finance); Computer vision; Control theory (sociology); Control engineering; Engineering; Artificial intelligence; Simulation; Control (management); Mathematics","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":[0.0007028546,0.0002451057,0.0003451524,0.0001754653,0.00007605852,0.00005449019,0.000213749,0.0001410841,0.000006958872],"category_scores_gemma":[0.0003712462,0.0002109729,0.0001367332,0.0007025307,0.00001653631,0.0001686196,0.00002035675,0.0002433015,0.00002078402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002032958,"about_ca_system_score_gemma":0.00004331769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004252432,"about_ca_topic_score_gemma":6.400824e-7,"domain_scores_codex":[0.9985673,0.00007383918,0.0004062143,0.0002015879,0.0003705484,0.0003804577],"domain_scores_gemma":[0.9987557,0.0005069115,0.00014028,0.0003939591,0.0001276936,0.00007543596],"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":[0.00002920367,0.00002787641,0.000009741577,0.0003395344,0.0001865492,0.000005446544,0.00004236754,0.9902597,0.007959741,0.0009104942,0.0001110193,0.0001183312],"study_design_scores_gemma":[0.002140045,0.00002417719,0.00005482963,0.00009778482,0.0002451861,0.00001545044,0.0001635948,0.9961138,0.0002374888,8.105749e-7,0.000697091,0.0002097267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001597433,0.0001066022,0.9940502,0.00009558657,0.0008633932,0.0007190435,0.00002450133,0.001921714,0.0006215267],"genre_scores_gemma":[0.9825426,0.000001515563,0.01712728,0.00004629583,0.00005745861,0.00007484099,0.00001100677,0.00007798708,0.00006105874],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9809451,"threshold_uncertainty_score":0.8603225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076049807294209,"score_gpt":0.2178723527716111,"score_spread":0.207111854698669,"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."}}