{"id":"W1546176851","doi":"10.1109/cdc.2002.1184275","title":"Centralized cooperative planning for dynamic multi-agent planar manipulation","year":2003,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Backstepping; Computer science; Trajectory; Object (grammar); Mathematical optimization; Sequential quadratic programming; Quadratic programming; Quadratic equation; Control theory (sociology); Multi-agent system; Plan (archaeology); Planar; Control (management); Mathematics; Artificial intelligence; Adaptive control","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":[0.0001973701,0.0001518686,0.000162847,0.00007633821,0.0001766483,0.0001125521,0.0003077665,0.00006080353,0.00001048296],"category_scores_gemma":[0.0001025462,0.0001349322,0.00004839085,0.0001748382,0.00001579132,0.0002733141,0.00002154484,0.00007584188,0.00003780001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008371633,"about_ca_system_score_gemma":0.00005329993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009507971,"about_ca_topic_score_gemma":0.0000017951,"domain_scores_codex":[0.9988037,0.00008124312,0.0002252751,0.000372046,0.0001643631,0.0003533628],"domain_scores_gemma":[0.9993511,0.0001253262,0.00007253201,0.0002828258,0.00007350863,0.000094664],"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":[0.00004832079,0.0004807705,0.008584798,0.00007831533,0.0002186859,0.0001678686,0.009257664,0.719862,0.005902702,0.2412302,0.006021138,0.008147446],"study_design_scores_gemma":[0.00109285,0.00006454881,0.003080362,0.00002158318,0.000005986491,0.00002156163,0.00008753893,0.9929613,0.0008643853,0.0003460897,0.001245269,0.0002084793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001636693,0.00008076648,0.9961953,0.000144766,0.0005445303,0.0004286648,0.000004165896,0.0002264595,0.0007386758],"genre_scores_gemma":[0.1448634,0.000002385877,0.8534958,0.0002184743,0.00001250826,0.00003597216,0.00002209701,0.00001142256,0.001337921],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2730993,"threshold_uncertainty_score":0.5502375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0617114335342438,"score_gpt":0.3204967579428754,"score_spread":0.2587853244086316,"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."}}