{"id":"W4385451887","doi":"10.23919/ecc57647.2023.10178343","title":"Near-Optimal Trajectory Generation for Flexible Motion Systems using Two-Boundary Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education","keywords":"Trajectory; Motion (physics); Computer science; Boundary (topology); Process (computing); Interval (graph theory); Motion control; Invariant (physics); Algorithm; Control theory (sociology); Artificial intelligence; Mathematics; Control (management); Mathematical analysis; Robot; Combinatorics; Physics; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003404107,0.0003452305,0.0004718319,0.0003211801,0.0003934031,0.0004197838,0.0004651612,0.0006614519,0.001825202],"category_scores_gemma":[0.0006013595,0.0002254505,0.0003467311,0.0002422984,0.0004161195,0.0005009481,0.0006312846,0.0004361261,0.0002636973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003850743,"about_ca_system_score_gemma":0.0003940272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001852292,"about_ca_topic_score_gemma":0.001229387,"domain_scores_codex":[0.9998828,0.00003130139,0.000005976294,0.00001980422,0.00004574968,0.00001434162],"domain_scores_gemma":[0.9998391,0.00007256308,0.00002262908,0.00001873567,0.00003144387,0.000015452],"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":[0.000144525,0.0000334693,0.0002856812,0.0001017114,0.00001641641,0.0001184979,0.000191398,0.8958387,0.01464219,0.02400611,0.0005675479,0.06405362],"study_design_scores_gemma":[0.000003962723,0.00001965084,0.00003104271,0.000002688113,0.000001058415,0.000009950985,0.000006971325,0.997332,0.0006747709,0.001609799,0.0003054689,0.000002700879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01848367,0.0001619964,0.9783123,0.00005115955,0.00001945983,0.00002211739,0.00001253373,0.0001895173,0.00274742],"genre_scores_gemma":[0.8144522,0.0001584734,0.1827016,0.00002794757,0.00001412626,0.0000741816,0.00006037976,0.0000619424,0.002449262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001852292,"threshold_uncertainty_score":0.006105959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806672709033347,"score_gpt":0.2458250797634398,"score_spread":0.2077583526731064,"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."}}