{"id":"W4297982851","doi":"10.1080/01691864.2022.2125828","title":"Pose optimization and path improvement in robotic drilling through minimization of joint reversals","year":2022,"lang":"en","type":"article","venue":"Advanced Robotics","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Aerospace; Drilling; Robot; Particle swarm optimization; Industrial robot; Envelope (radar); Controller (irrigation); Computer science; Engineering; Simulation; Control engineering; Mechanical engineering; Artificial intelligence; Aerospace engineering; Algorithm","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":[0.0001073119,0.0001313944,0.0002331431,0.00007977526,0.00006506259,0.000009590975,0.0000691904,0.00003923136,0.0000231139],"category_scores_gemma":[0.00002606267,0.0001508672,0.00002859153,0.0002460648,0.00001494168,0.0001535881,0.0000780101,0.0001336162,3.01158e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001216505,"about_ca_system_score_gemma":0.00001467219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008269199,"about_ca_topic_score_gemma":0.000003411925,"domain_scores_codex":[0.9990565,0.00002249489,0.0003888855,0.0001724465,0.0001700409,0.000189611],"domain_scores_gemma":[0.9996361,0.00003219055,0.0000908131,0.0001754291,0.00003194318,0.00003357573],"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":[0.000005508716,0.00003187199,0.0000410423,0.00007820839,0.000009978877,0.00000380143,0.000319914,0.9915324,0.002674619,0.004232289,0.000008357389,0.001061971],"study_design_scores_gemma":[0.0004970073,0.0001078595,0.00004472417,0.00003599989,0.00001716779,0.000003751598,0.000378339,0.996392,0.0004272679,0.001930686,0.000008778497,0.0001564056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003837204,0.0002758923,0.9948966,0.00005452865,0.0004677353,0.0002840901,0.000006335748,0.00006102209,0.0001166175],"genre_scores_gemma":[0.1636178,0.0006449369,0.83553,0.00005136384,0.00001550504,0.00001998913,0.00004472234,0.00003885567,0.00003675354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1597806,"threshold_uncertainty_score":0.6152185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009401211349345674,"score_gpt":0.2022166506327328,"score_spread":0.1928154392833872,"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."}}