{"id":"W4297493126","doi":"10.1145/3564696","title":"Multiple Mobile Robot Task and Motion Planning: A Survey","year":2022,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Mobile robot; Robot; Motion planning; Task (project management); Robotics; Artificial intelligence; Human–computer interaction; Field (mathematics); Motion (physics); Systems engineering; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01211847,0.0008016422,0.002031436,0.0004768058,0.0006436303,0.0004652425,0.003760199,0.0003270117,0.00001094096],"category_scores_gemma":[0.00313241,0.0007923789,0.000288388,0.001479488,0.00008614607,0.0002478365,0.004526347,0.001212112,0.0000573568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207481,"about_ca_system_score_gemma":0.0003050866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000557886,"about_ca_topic_score_gemma":0.000006611084,"domain_scores_codex":[0.9875367,0.008086229,0.001077548,0.001714346,0.000716264,0.0008689517],"domain_scores_gemma":[0.9856286,0.01077966,0.0009011525,0.002345402,0.00009602501,0.000249152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.559448e-7,0.00005944435,0.001980206,0.001050777,0.00009404062,0.0001017083,0.0003063485,0.005103867,7.654089e-8,0.000007862874,0.0004242347,0.9908709],"study_design_scores_gemma":[0.0007995141,0.0004088611,0.02684187,0.005335174,0.0002003296,0.0008246549,0.00003080966,0.2771253,3.851204e-7,0.00009004203,0.6855189,0.002824123],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002032081,0.5962524,0.4012361,0.000004320126,0.001360939,0.000594409,0.00005703809,0.0004339057,0.00004057509],"genre_scores_gemma":[0.0004638586,0.8554147,0.1418802,0.00005231297,0.0003395157,0.0001386028,0.001340838,0.0001760575,0.0001938934],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9880468,"threshold_uncertainty_score":0.9994527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1334261220052098,"score_gpt":0.3533795191759313,"score_spread":0.2199533971707215,"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."}}