{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000649775,0.00105194,0.0009748859,0.002248004,0.0004812807,0.00151302,0.00197387,0.001345217,0.004962617],"category_scores_gemma":[0.001712259,0.0006906178,0.0006295467,0.005951185,0.0005919681,0.002764844,0.0009992984,0.001306568,0.002962098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008545577,"about_ca_system_score_gemma":0.002208652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003864862,"about_ca_topic_score_gemma":0.003786537,"domain_scores_codex":[0.9995018,0.00007601524,0.00003857025,0.0001009799,0.0002401746,0.00004236849],"domain_scores_gemma":[0.9992016,0.0004100359,0.00005811678,0.00004922514,0.0002369789,0.0000439744],"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":[0.00002806604,0.00008961889,0.0004475469,0.006056434,0.00004116429,0.00007267352,0.00008796357,0.007813819,0.0004418554,0.02513494,0.02945598,0.9303299],"study_design_scores_gemma":[0.00001694556,0.0001517512,0.001374715,0.003005895,0.00007398143,0.000732646,0.0002191433,0.01273786,0.0006891709,0.03294773,0.9479993,0.00005081974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001060918,0.9391302,0.04010673,0.001036399,0.0005338669,0.00007191351,0.0001093769,0.0001851636,0.01776546],"genre_scores_gemma":[0.01072875,0.9578209,0.02536001,0.000346061,0.0007123793,0.0001068647,0.0003542479,0.00005393561,0.004516841],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004962617,"threshold_uncertainty_score":0.01660162,"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."}}