{"id":"W4395670013","doi":"10.1007/s10846-024-02090-7","title":"A Compact Aerial Manipulator: Design and Control for Dexterous Operations","year":2024,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Key Research and Development Program of China; Beijing Nova Program; Major State Basic Research Development Program of China; National Natural Science Foundation of China","keywords":"Manipulator (device); Control (management); Computer science; Control engineering; Engineering; Artificial intelligence; Robot","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":[0.001438594,0.0001983683,0.000490143,0.0002672973,0.0001151125,0.0009973806,0.0005228737,0.00008225891,0.000003741675],"category_scores_gemma":[0.0001372171,0.0001504573,0.0001510422,0.0001840833,0.00003377461,0.0004583556,0.00002947504,0.0001900788,0.00003024871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495928,"about_ca_system_score_gemma":0.0002206605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002992023,"about_ca_topic_score_gemma":4.270711e-7,"domain_scores_codex":[0.9980195,0.0002186869,0.0008561978,0.0002499918,0.0003639883,0.0002916806],"domain_scores_gemma":[0.9983853,0.0007303813,0.0001792132,0.0002448533,0.0002591729,0.0002011545],"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":[0.00002642424,0.00004123955,0.00003572553,0.0000989403,0.0002148239,0.0001431531,0.0007257071,0.9864068,0.0007015399,0.007048605,0.003387955,0.0011691],"study_design_scores_gemma":[0.0004105378,0.000555788,0.00004591696,0.0005750416,0.00008055528,0.002845323,0.00008278203,0.994022,0.000275841,0.0002123884,0.000736525,0.0001573289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004230115,0.005529335,0.9851935,0.000405516,0.00774676,0.0006115397,0.000003253124,0.00006473854,0.00002232962],"genre_scores_gemma":[0.8103729,0.00004673009,0.1881331,0.00007212116,0.001004102,0.00001417687,7.644505e-7,0.00002553386,0.0003305596],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8099499,"threshold_uncertainty_score":0.9617763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05110428809102666,"score_gpt":0.2971525891202711,"score_spread":0.2460483010292445,"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."}}