{"id":"W2999161835","doi":"10.1109/lra.2020.2966411","title":"<i>mROBerTO 2.0</i> – An Autonomous Millirobot With Enhanced Locomotion for Swarm Robotics","year":2020,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Robot; Robotics; Swarm robotics; Robot locomotion; Computer science; Stepper; Artificial intelligence; Swarm behaviour; Motion control; Control engineering; Motion (physics); Stepper motor; Mechanism (biology); Mobile robot; Robot control; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007706401,0.0002551236,0.0002550381,0.00005732772,0.0001228033,0.0001283249,0.0001402494,0.00008492734,0.000006550325],"category_scores_gemma":[0.000008664209,0.0002386977,0.00004925373,0.0001477234,0.00004936865,0.0002773801,0.00001074878,0.0001311985,0.0000124489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003864968,"about_ca_system_score_gemma":0.00001339442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005357025,"about_ca_topic_score_gemma":0.000008756243,"domain_scores_codex":[0.9988874,0.00002040565,0.0003109578,0.0003114185,0.0001664709,0.0003033656],"domain_scores_gemma":[0.9994476,0.00003800014,0.0000695528,0.0001910374,0.00005894609,0.0001948655],"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":[0.000009522683,0.00001840166,0.00001259116,0.0001351987,0.00003278165,0.000003091385,0.0004661495,0.9438586,0.04917781,0.0004503287,0.00062317,0.005212346],"study_design_scores_gemma":[0.0003821009,0.0001879459,0.0001044305,0.00003890685,0.00004530017,0.000007605494,0.00003119262,0.9579759,0.04032349,0.00005889092,0.000472298,0.0003719678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05727188,0.00005814504,0.9377291,0.00371221,0.0002888826,0.0004300514,0.000009828617,0.000454653,0.00004529482],"genre_scores_gemma":[0.8756214,0.00006324668,0.1217098,0.002186741,0.0002401678,0.00003669822,0.00005413331,0.0000727389,0.00001497039],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8183496,"threshold_uncertainty_score":0.9733811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638994188429877,"score_gpt":0.2138326504073125,"score_spread":0.1974427085230138,"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."}}