{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000806477,0.000287358,0.0001996286,0.0002214886,0.0002215017,0.0003161788,0.0004607039,0.0003443514,0.003485994],"category_scores_gemma":[0.0001143955,0.0001401871,0.000120193,0.0001902288,0.0002420262,0.0002957095,0.0003413725,0.0003475611,0.00138289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002894469,"about_ca_system_score_gemma":0.0002368131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007734663,"about_ca_topic_score_gemma":0.001928391,"domain_scores_codex":[0.9999205,0.000004979535,0.000003620371,0.00001651062,0.00004315451,0.00001128444],"domain_scores_gemma":[0.9999586,0.000003612494,0.000009174843,0.000007209368,0.00001081617,0.00001054484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003149704,0.000060353,0.0009796045,0.0003948356,0.00002108572,0.0005454554,0.0001688672,0.005760011,0.7047825,0.03255515,0.04377661,0.2106405],"study_design_scores_gemma":[0.0001091346,0.0008325573,0.003272057,0.00007309921,0.00002232758,0.00200676,0.00004381987,0.1186847,0.3451219,0.003007108,0.5267164,0.0001099897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1459698,0.003041711,0.7086966,0.00181291,0.001208278,0.000387056,0.001067309,0.01664064,0.1211757],"genre_scores_gemma":[0.4684409,0.0009278989,0.4638738,0.000740329,0.0001376737,0.0002193252,0.001611069,0.000793262,0.06325588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003485994,"threshold_uncertainty_score":0.01166183,"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."}}