{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005551782,0.0007677689,0.0003544357,0.0007129618,0.0003052264,0.0008283435,0.0006284179,0.0005434725,0.001596412],"category_scores_gemma":[0.0007109522,0.0002430597,0.0005483431,0.0004501754,0.0005605393,0.0006308558,0.0005708296,0.0003354429,0.0004012769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974332,"about_ca_system_score_gemma":0.0005672947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001811714,"about_ca_topic_score_gemma":0.0009735771,"domain_scores_codex":[0.9996847,0.00005815025,0.00001961816,0.00007383622,0.0001259259,0.00003770563],"domain_scores_gemma":[0.9996582,0.00007108906,0.0001390333,0.0000382073,0.00008177838,0.00001169017],"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":[0.00007201597,0.00003010306,0.0009695255,0.0001030335,0.00002242422,0.0000894508,0.00005570762,0.9482244,0.01636477,0.008531561,0.0002119075,0.02532522],"study_design_scores_gemma":[0.000004535978,0.000140865,0.0005379674,0.000006055465,0.00001407505,0.00004337974,0.00001619983,0.9941159,0.003284406,0.00139543,0.0004290083,0.00001201919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06030003,0.0002348902,0.9306578,0.00006869697,0.00001611399,0.00004235257,0.00005157378,0.0002837056,0.008344851],"genre_scores_gemma":[0.9568106,0.0002256718,0.03979321,0.0000111827,0.00001030596,0.0001181814,0.00006364104,0.00001892201,0.002948349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001811714,"threshold_uncertainty_score":0.005340576,"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."}}