{"id":"W2142629953","doi":"10.1109/tro.2010.2068650","title":"Pareto Optimality and Multiobjective Trajectory Planning for a 7-DOF Redundant Manipulator","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Trajectory; Mathematical optimization; Weighting; Pareto principle; Multi-objective optimization; Set (abstract data type); Representation (politics); Pareto optimal; Motion planning; Computer science; Mathematics; Control theory (sociology); Robot; Artificial intelligence","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":[0.0001185797,0.0002043232,0.0002128674,0.00009407373,0.0001788552,0.00004496731,0.0000833573,0.0001650646,0.00001474383],"category_scores_gemma":[0.000006413104,0.0002127553,0.00008760325,0.00008159483,0.00004592342,0.00009554147,7.805988e-7,0.0003948225,0.000004172607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004711143,"about_ca_system_score_gemma":0.00002149304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001047115,"about_ca_topic_score_gemma":0.00006800173,"domain_scores_codex":[0.9991453,0.00001127189,0.0002239277,0.0002331114,0.0001139729,0.0002724082],"domain_scores_gemma":[0.9994349,0.0001261643,0.00002803771,0.0002312154,0.00004527991,0.0001344059],"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":[0.00002464369,0.00004768341,0.000008500327,0.0000592754,0.00005105088,0.000003091392,0.0003138872,0.9907202,0.006127404,0.001012792,0.00001916778,0.001612307],"study_design_scores_gemma":[0.0005227259,0.0001012271,0.0002631205,0.00002751533,0.00007241835,0.0000225573,0.0001831066,0.9942105,0.003860126,0.0004456192,0.00001917328,0.0002719323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03196432,0.00001837638,0.965634,0.00002917454,0.001536742,0.0003627881,0.00005455217,0.000258608,0.0001414341],"genre_scores_gemma":[0.6417375,0.0000123089,0.3579987,0.00002614578,0.00005678342,0.00003963,0.000003615167,0.00004988673,0.00007549068],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6097731,"threshold_uncertainty_score":0.8675908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809798758021982,"score_gpt":0.2450448881280484,"score_spread":0.2269469005478286,"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."}}