{"id":"W1654774199","doi":"10.1109/robot.1990.126076","title":"View planning for mobile robots","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Viewpoints; Delaunay triangulation; Heuristic; Computer science; Scheme (mathematics); Polygon (computer graphics); Mobile robot; Rectangle; Merge (version control); Robot; Theoretical computer science; Artificial intelligence; Combinatorics; Mathematics; Algorithm; Information retrieval; Frame (networking); Computer network","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":[0.0001914021,0.0007058164,0.0005675055,0.0004614596,0.0005722334,0.0007822537,0.0008901301,0.0007042912,0.004623429],"category_scores_gemma":[0.0008675122,0.0004784482,0.0006424338,0.0005491784,0.0005191487,0.001234058,0.001455065,0.0007053363,0.001156067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005180362,"about_ca_system_score_gemma":0.0005647654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488274,"about_ca_topic_score_gemma":0.005458565,"domain_scores_codex":[0.9996904,0.00008787388,0.00001043336,0.00007877804,0.00008943799,0.00004310708],"domain_scores_gemma":[0.9997761,0.00009923721,0.00002613965,0.00004617244,0.00002521608,0.00002718936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002910713,0.00006345071,0.0008059739,0.0003837553,0.00006423349,0.0004398706,0.0003589417,0.3964725,0.01733323,0.08934416,0.0128728,0.48157],"study_design_scores_gemma":[0.00006685712,0.0001490461,0.0005533642,0.00005253685,0.00002871773,0.0003348826,0.0001759335,0.8587197,0.006570423,0.09689279,0.03641684,0.00003891998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01053736,0.001065559,0.9804479,0.000120272,0.00005335494,0.0000537632,0.0001707205,0.00124429,0.006306713],"genre_scores_gemma":[0.1920937,0.001164427,0.8013123,0.00007626279,0.00004311926,0.0001879439,0.0005847502,0.0001920776,0.00434535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004623429,"threshold_uncertainty_score":0.01546693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06090310764429689,"score_gpt":0.2899158004271573,"score_spread":0.2290126927828603,"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."}}