{"id":"W1964417386","doi":"10.1016/j.rcim.2008.09.002","title":"Constrained multi-objective trajectory planning of parallel kinematic machines","year":2008,"lang":"en","type":"article","venue":"Robotics and Computer-Integrated Manufacturing","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Workspace; Kinematics; Trajectory; Control theory (sociology); Computer science; Actuator; Singularity; Robot; Computation; Nonlinear system; Task (project management); Control engineering; Mathematical optimization; Control (management); Mathematics; Engineering; Artificial intelligence; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007295774,0.0003094795,0.0004608071,0.0001522422,0.0001100356,0.00002856606,0.0001402048,0.0001157917,0.00001178217],"category_scores_gemma":[0.000006255599,0.0002721994,0.00008513463,0.00008048068,0.00008104459,0.00008213501,0.00004481762,0.000267084,0.000002381029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003382044,"about_ca_system_score_gemma":0.00002295556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004282799,"about_ca_topic_score_gemma":0.000009072161,"domain_scores_codex":[0.9989015,0.00002545252,0.0004022922,0.0002341032,0.0001395918,0.0002970117],"domain_scores_gemma":[0.9994803,0.00009408672,0.00008084754,0.0001876271,0.00004055007,0.0001166083],"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":[0.000008113011,0.00003460532,0.0001569071,0.0001588627,0.00009865241,0.00005849824,0.0005725104,0.9953712,0.0003334632,0.0007582756,0.00002497959,0.002423917],"study_design_scores_gemma":[0.0006855556,0.00007663357,0.004187291,0.0001764116,0.00002860796,0.0001427223,0.0001095416,0.9928321,0.001208067,0.0002578032,0.000005024258,0.0002902562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1561249,0.0001815198,0.8427727,0.000007367172,0.0003199085,0.0001675681,0.000008379948,0.0002161396,0.0002015339],"genre_scores_gemma":[0.6012985,0.00007244489,0.3984918,0.00001591085,0.00004293044,0.000002730732,0.00001391362,0.00003175301,0.00003000808],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4451736,"threshold_uncertainty_score":0.999973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168276176298567,"score_gpt":0.2117260363661619,"score_spread":0.1948984187363052,"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."}}