{"id":"W4307349940","doi":"10.3390/mi13111822","title":"Design and Implementation of a Fully-Actuated Integrated Aerial Platform Based on Geometric Model Predictive Control","year":2022,"lang":"en","type":"article","venue":"Micromachines","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; State Key Laboratory of Robotics; National Natural Science Foundation of China","keywords":"Controller (irrigation); Engineering; Underactuation; Payload (computing); Control engineering; Scalability; Hardware-in-the-loop simulation; Control system; Control theory (sociology); Computer science; Robot; Control (management); Artificial intelligence","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":[0.000497535,0.0001574609,0.0002224043,0.0004487617,0.000179754,0.00004703761,0.0003869496,0.0000301799,0.00001754884],"category_scores_gemma":[0.00003929103,0.0001409733,0.00003478686,0.000753044,0.00002964842,0.000162848,0.0001113154,0.0001530268,0.00000106301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009018009,"about_ca_system_score_gemma":0.0001653511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001523033,"about_ca_topic_score_gemma":8.52086e-7,"domain_scores_codex":[0.9987841,0.0001385749,0.0002682102,0.0003128954,0.0002893918,0.0002068043],"domain_scores_gemma":[0.9992366,0.0002371808,0.0001770095,0.0002270053,0.00006868486,0.00005348513],"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":[0.0002488628,0.0001013418,0.0006932791,0.000008569571,0.00004112865,0.00001147248,0.0008593249,0.9609104,0.02675549,0.00007241305,0.0003489697,0.009948731],"study_design_scores_gemma":[0.002333937,0.0008434536,0.002152664,0.000006864279,0.00001634863,0.00001379417,0.00005557632,0.9891183,0.005134277,0.0001878015,0.000007787601,0.0001291835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1541238,0.00003147918,0.8449721,0.00009425349,0.0001545288,0.0004062953,0.0001158605,0.00008801453,0.00001365178],"genre_scores_gemma":[0.8584487,8.053392e-7,0.1412614,0.0001477979,0.0000122781,0.00006649393,0.00004384463,0.000009937527,0.000008723398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7043249,"threshold_uncertainty_score":0.5748726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744359462396995,"score_gpt":0.2588563447660948,"score_spread":0.2414127501421249,"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."}}