{"id":"W2972941110","doi":"10.1109/lra.2020.2964159","title":"Online Trajectory Generation With Distributed Model Predictive Control for Multi-Robot Motion Planning","year":2020,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":247,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dynamic Systems Analysis (Canada); University of Toronto","funders":"","keywords":"Trajectory; Model predictive control; Computer science; Motion planning; Motion (physics); Control (management); Control theory (sociology); Robot; Artificial intelligence; Physics","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":[0.0004069799,0.0007038262,0.0006480832,0.0003750376,0.000433941,0.0006216461,0.001254015,0.0006433759,0.002228023],"category_scores_gemma":[0.001311994,0.0003706927,0.0004224734,0.0004931904,0.000465678,0.0006590101,0.0009048782,0.001034276,0.0004010412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006648607,"about_ca_system_score_gemma":0.00102162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009156998,"about_ca_topic_score_gemma":0.008206282,"domain_scores_codex":[0.9997633,0.00004698754,0.00001035051,0.00005872463,0.00009080317,0.00002985406],"domain_scores_gemma":[0.9994006,0.0003083459,0.00006563611,0.00008130982,0.0001043551,0.00003969332],"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":[0.00004525997,0.00003140896,0.000174278,0.0000284204,0.00001193585,0.00003961444,0.00002843103,0.9586383,0.001375569,0.002175248,0.0006250801,0.03682657],"study_design_scores_gemma":[0.000005896927,0.000008816824,0.00001672021,9.834559e-7,0.000001256145,0.000003632967,0.000001825492,0.9988624,0.0002952311,0.0006247397,0.0001772089,0.000001351808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009067374,0.0001081939,0.9884021,0.00008016094,0.00003417523,0.0000301665,0.0000358531,0.0009144663,0.001327496],"genre_scores_gemma":[0.7536238,0.0001404285,0.2436339,0.00006196786,0.00003246436,0.0002294832,0.0001796888,0.0001231371,0.001975157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009156998,"threshold_uncertainty_score":0.01820743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05669042353869146,"score_gpt":0.2668804501090223,"score_spread":0.2101900265703308,"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."}}