{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001595648,0.0001027734,0.0001356788,0.00005551013,0.0001040489,0.00009730273,0.0006001246,0.00004214521,0.00004978531],"category_scores_gemma":[0.00002940444,0.00008896942,0.00005096863,0.0001865119,0.00001332379,0.0002649378,0.00009011822,0.00006193024,0.0002332942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000018002,"about_ca_system_score_gemma":0.000007701547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003004557,"about_ca_topic_score_gemma":6.267903e-8,"domain_scores_codex":[0.9990875,0.00001750529,0.0001564065,0.0002955852,0.0001458437,0.0002971693],"domain_scores_gemma":[0.9993044,0.0001455622,0.00004235425,0.0003879103,0.00003756497,0.00008219489],"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":[0.000002963917,0.0002520804,0.0009721598,0.00009488619,0.00006118283,0.0001108914,0.004185097,0.2198346,0.0004113143,0.02809566,0.1647445,0.5812347],"study_design_scores_gemma":[0.000220669,0.0001064679,0.000171284,0.00002838942,0.00000274779,0.00002853303,0.00001412123,0.9794292,0.0002396567,0.0004908784,0.01910923,0.0001588123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001862971,0.0007900117,0.988107,0.0003175921,0.0003944348,0.0002472899,8.420373e-7,0.0003624844,0.009594047],"genre_scores_gemma":[0.01910997,0.000008622711,0.9751711,0.0006274984,0.0001007308,0.0001176634,0.00000145834,0.00001051373,0.004852453],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7595946,"threshold_uncertainty_score":0.3628068,"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."}}