{"id":"W4410536395","doi":"10.1109/tac.2025.3571641","title":"Virtual Nonholonomic Constraints-Based Motion Control for Underactuated UAV Slung-Payload Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Underactuation; Nonholonomic system; Payload (computing); Control theory (sociology); Computer science; Motion control; Control engineering; Engineering; Robot; Control (management); Mobile robot; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007507888,0.0003945399,0.0006728874,0.000536704,0.0004199282,0.0003357453,0.0007224718,0.0002214866,0.00003357577],"category_scores_gemma":[0.00006999858,0.0003919111,0.0002873805,0.0004491108,0.0001475149,0.0003035897,0.000001645064,0.0002643816,0.0001911562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000377873,"about_ca_system_score_gemma":0.0004846585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003812812,"about_ca_topic_score_gemma":0.000003224508,"domain_scores_codex":[0.997288,0.0003030008,0.0008168161,0.0006754365,0.0003392618,0.0005774077],"domain_scores_gemma":[0.9963025,0.002226479,0.0002720656,0.0008293078,0.0002096512,0.0001599325],"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":[0.0001183567,0.0003969411,0.00001002854,0.0001013433,0.000416802,0.00001432035,0.0001070984,0.8630739,0.001603194,0.001990672,0.0005731994,0.1315942],"study_design_scores_gemma":[0.009183936,0.000375742,0.0001823381,0.0002321194,0.0002033441,0.00001565861,0.00003909404,0.9884052,0.0007772811,0.0001546491,0.0001047896,0.0003258932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001305308,0.00004695816,0.9896238,0.001827521,0.003482211,0.002331414,0.0001596577,0.001087139,0.0001359631],"genre_scores_gemma":[0.9806445,0.000001111094,0.01718226,0.001076383,0.00003994971,0.0007225942,0.000008526297,0.00002559565,0.0002991286],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9793391,"threshold_uncertainty_score":0.9998533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279807633398997,"score_gpt":0.2558602112995154,"score_spread":0.2430621349655255,"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."}}