{"id":"W4388623424","doi":"10.1109/ro-man57019.2023.10309646","title":"Optimal Robot Path Planning In a Collaborative Human-Robot Team with Intermittent Human Availability","year":2023,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Motion planning; Computer science; Supervisor; Path (computing); Baseline (sea); Human–robot interaction; Field (mathematics); Distributed computing; Human–computer interaction; Artificial intelligence; Computer network","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":[0.0008494941,0.0009037038,0.001058519,0.0005752482,0.0007937241,0.0007032318,0.001283093,0.001100024,0.002544856],"category_scores_gemma":[0.002640627,0.0006057979,0.0005864764,0.0006970915,0.0007530384,0.00107622,0.001324405,0.0008545772,0.0002549503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000762319,"about_ca_system_score_gemma":0.001687708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009164373,"about_ca_topic_score_gemma":0.009325083,"domain_scores_codex":[0.9995358,0.0001336893,0.00001766241,0.0001539764,0.0000646031,0.0000943598],"domain_scores_gemma":[0.9987227,0.000798089,0.0001736858,0.00008258881,0.0000864225,0.0001364504],"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":[0.00007191268,0.00002947381,0.0003619504,0.00004138713,0.00002027325,0.00009931922,0.00007119916,0.9850668,0.0004985226,0.002881778,0.0004892075,0.01036818],"study_design_scores_gemma":[0.00002236966,0.00004622737,0.0001652407,0.000004875253,0.000007698707,0.00003200825,0.0000653729,0.9929032,0.0003400691,0.005888205,0.0005192541,0.000005574046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09751244,0.0002583683,0.8988622,0.0002891852,0.00003148749,0.00007208865,0.000132186,0.0003504591,0.002491614],"genre_scores_gemma":[0.6931198,0.0002123267,0.3031958,0.00004892694,0.00002305206,0.0001892015,0.0002549834,0.0001151542,0.002840762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009164373,"threshold_uncertainty_score":0.01822203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334845610872379,"score_gpt":0.3083521722049768,"score_spread":0.2748676111177389,"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."}}