{"id":"W4410182943","doi":"10.2316/j.2025.201-0498","title":"ROBOT ARM TRAJECTORY GENERATION BASED ON IMPROVED CMA-ES ALGORITHM, 294-303.","year":2025,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Trajectory; Computer science; Robotic arm; Algorithm; Artificial intelligence; Computer vision; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007664789,0.0002834694,0.000436714,0.0002268082,0.0002449111,0.0003414554,0.0004722765,0.0001554992,0.000003268586],"category_scores_gemma":[0.00004096202,0.000247385,0.0000965671,0.0002526949,0.00002847977,0.000194309,0.00004542811,0.0002122757,0.00001264831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001585562,"about_ca_system_score_gemma":0.0002722596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001597882,"about_ca_topic_score_gemma":0.00000600841,"domain_scores_codex":[0.9979045,0.0002463003,0.000413547,0.0006653346,0.0003025363,0.0004677655],"domain_scores_gemma":[0.9987842,0.0001789474,0.0001572174,0.0006729423,0.00009482574,0.0001118382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009195371,0.0006438587,0.0003692585,0.0003218687,0.0005534255,0.0001054763,0.000503064,0.2743771,0.04365314,0.1022805,0.00250089,0.5745994],"study_design_scores_gemma":[0.002383801,0.0002991399,0.0002845654,0.0001027815,0.00003420504,0.000008870618,0.00003401054,0.995195,0.0005529101,0.0001051841,0.0007633856,0.0002361523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005549354,0.002283124,0.9927824,0.000637434,0.002489895,0.0006804737,0.00001078917,0.0002389164,0.0003220244],"genre_scores_gemma":[0.9707544,0.00001118252,0.02712231,0.0006770514,0.000404739,0.0002400891,0.000008546708,0.00001727904,0.0007643588],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9701995,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103738254329959,"score_gpt":0.2231693289131156,"score_spread":0.2127955034801197,"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."}}