{"id":"W4298223224","doi":"","title":"Path following control of unmanned quadrotor helicopter with obstacle avoidance capability","year":2017,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Obstacle avoidance; Collision avoidance; Path (computing); Computer science; Obstacle; Remotely operated underwater vehicle; Control (management); Aeronautics; Aerospace engineering; Mobile robot; Engineering; Computer network; Artificial intelligence; Robot; Computer security; Geography","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":[0.0001194272,0.000377112,0.0002834477,0.0001451144,0.0003306681,0.0004025227,0.0002558115,0.0002534817,0.001280032],"category_scores_gemma":[0.0002222527,0.0001305604,0.0001290192,0.0001598898,0.0002508522,0.0001727171,0.0003096998,0.0002152729,0.0001031959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339725,"about_ca_system_score_gemma":0.0004411471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008630333,"about_ca_topic_score_gemma":0.005789346,"domain_scores_codex":[0.9999527,0.000006432722,0.000001793636,0.00001338275,0.00001258479,0.00001306274],"domain_scores_gemma":[0.9998633,0.00002695431,0.0000378582,0.000007876609,0.00004297971,0.00002096718],"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":[0.0004428083,0.00009553196,0.001943101,0.0001609688,0.00005157063,0.0004501998,0.0002235862,0.8767778,0.06590071,0.0043601,0.001826265,0.04776728],"study_design_scores_gemma":[0.00001863924,0.0002285423,0.0009532092,0.000003623934,0.000007078996,0.00002189106,0.00002034902,0.9961935,0.001756878,0.0003431123,0.00044941,0.00000371892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7373161,0.0003163686,0.2472788,0.0002785613,0.0001460996,0.00008415435,0.0001267006,0.0002950405,0.01415814],"genre_scores_gemma":[0.9962869,0.0000382258,0.002097623,0.00001131736,0.000006758158,0.00001772302,0.0000194274,0.000004252163,0.001517852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008630333,"threshold_uncertainty_score":0.01716018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093786917581477,"score_gpt":0.2251751425091364,"score_spread":0.2142372733333216,"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."}}