{"id":"W1964918537","doi":"10.1109/tac.2007.899024","title":"Curve Shortening and the Rendezvous Problem for Mobile Autonomous Robots","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polygon (computer graphics); Point in polygon; Mathematics; Regular polygon; Rendezvous; Mobile robot; Curvature; Convex polygon; Robot; Mathematical analysis; Geometry; Topology (electrical circuits); Computer science; Combinatorics; Artificial intelligence; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000512676,0.0004503899,0.0004661184,0.0005082827,0.0007099924,0.0006418383,0.0006965336,0.0009166172,0.001519011],"category_scores_gemma":[0.001951668,0.0002383346,0.0003942154,0.0004717939,0.00193564,0.001329982,0.001256807,0.0005811719,0.0001878698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008014888,"about_ca_system_score_gemma":0.0004768583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003213069,"about_ca_topic_score_gemma":0.001577101,"domain_scores_codex":[0.9997838,0.00005905714,0.000009778851,0.0000538561,0.00006246172,0.00003109135],"domain_scores_gemma":[0.9994962,0.0002474848,0.00009850922,0.00005160158,0.00004141826,0.00006467228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001849939,0.00003556446,0.001056575,0.000113537,0.00002025084,0.0002346663,0.0004012913,0.7425176,0.006397422,0.18267,0.001363215,0.06500493],"study_design_scores_gemma":[0.0000329233,0.00006990531,0.0003046227,0.00001279237,0.000006872338,0.00008289349,0.0001003156,0.9121104,0.001682376,0.08168799,0.003894087,0.00001486308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2479506,0.001277553,0.7394391,0.000858143,0.00006972257,0.00007464618,0.0000666373,0.0002046327,0.01005893],"genre_scores_gemma":[0.8946101,0.0009027196,0.09471264,0.00004221568,0.00005692249,0.00008609314,0.0001102728,0.00005934393,0.009419588],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003213069,"threshold_uncertainty_score":0.006388724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309536530966073,"score_gpt":0.2599077172297869,"score_spread":0.2468123519201262,"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."}}