{"id":"W4387874497","doi":"10.3390/machines11100979","title":"Kinematic Models and the Performance Level Index of a Picking-and-Placing Hybrid Robot","year":2023,"lang":"en","type":"article","venue":"Machines","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Hong Kong Polytechnic University; National Natural Science Foundation of China","keywords":"Workspace; Kinematics; Payload (computing); Trajectory; Computer science; Parallel manipulator; Inverse kinematics; Correctness; Actuator; Mobile manipulator; Robot; Mechanism (biology); Stewart platform; Simulation; Control theory (sociology); Mobile robot; Control engineering; Artificial intelligence; Engineering; Algorithm","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":[0.0001893272,0.00008705239,0.0001605945,0.00005372477,0.00005026951,0.00001910361,0.0000642157,0.00001872216,0.000003700929],"category_scores_gemma":[0.00001989087,0.00005680153,0.00001914235,0.00008987518,0.00003281234,0.00006582378,0.00005219287,0.0000724849,0.000001966729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003944785,"about_ca_system_score_gemma":0.000002942455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003926903,"about_ca_topic_score_gemma":0.00001144628,"domain_scores_codex":[0.9995792,0.000009382555,0.0001438006,0.00007305919,0.00008413001,0.0001104328],"domain_scores_gemma":[0.9997358,0.00009688987,0.00002220595,0.0001134516,0.000009865677,0.00002173446],"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":[0.00000409431,0.00000148592,0.0007469456,0.0002356461,0.00001420865,9.355336e-7,0.0003480413,0.9881098,0.0001267967,0.005817873,0.00001531356,0.004578862],"study_design_scores_gemma":[0.0003402045,0.000007128055,0.002924067,0.00004896731,0.00001123631,0.00001063905,0.00002510348,0.9897402,0.00004707518,0.006777617,0.000001611061,0.00006618084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.649295,0.0001451638,0.3496629,0.00009937761,0.0001079388,0.0001111561,0.00000417618,0.0001082583,0.0004660784],"genre_scores_gemma":[0.9949716,0.0001518976,0.004708357,0.00001830168,0.00001929423,0.000008661502,0.000002400437,0.00001564051,0.0001038252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3456767,"threshold_uncertainty_score":0.2316299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022931070822481,"score_gpt":0.2130409728624342,"score_spread":0.1928116621542094,"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."}}