{"id":"W2745711124","doi":"10.1007/978-3-319-56991-8_40","title":"Motion Control of a Terrain Following Unmanned Aerial Vehicle Under Uncertainty","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Terrain; Aeronautics; Motion control; Computer science; Environmental science; Artificial intelligence; Geography; Engineering; Cartography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002176206,0.000622766,0.0006669143,0.0003238012,0.0005840248,0.0008194389,0.0006318926,0.0007962047,0.001522506],"category_scores_gemma":[0.000516443,0.0003195428,0.0003750008,0.0004192131,0.0006837376,0.0005268925,0.001128385,0.0004943009,0.0002100741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004768464,"about_ca_system_score_gemma":0.0005966836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01339948,"about_ca_topic_score_gemma":0.005924284,"domain_scores_codex":[0.9998714,0.00001725925,0.000004998617,0.00003514815,0.00004106646,0.00003013367],"domain_scores_gemma":[0.9998569,0.00004336142,0.0000402624,0.00001078143,0.00003283045,0.0000158396],"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":[0.00009862778,0.00002380091,0.0003306685,0.00006972167,0.00002890576,0.0002152368,0.0001592223,0.9640651,0.007381084,0.005400722,0.0007272898,0.02149965],"study_design_scores_gemma":[0.00001222811,0.0001054218,0.0002198427,0.000005047114,0.000005818741,0.00001459458,0.00001881945,0.9975744,0.0005706778,0.001012609,0.0004564471,0.000004097511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3699181,0.0008853018,0.6015577,0.0006919756,0.0003154307,0.00009845762,0.0002357924,0.0005398963,0.02575738],"genre_scores_gemma":[0.990338,0.00011953,0.005186278,0.000036964,0.00002386473,0.00004217313,0.00005539526,0.00001679478,0.004181067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01339948,"threshold_uncertainty_score":0.02664298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736252800749023,"score_gpt":0.2409516062447799,"score_spread":0.2235890782372897,"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."}}