{"id":"W4232113981","doi":"10.32920/ryerson.14656818","title":"Gremlins: an Architectural Framework for Reconfigurable Autonomous Robots","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Robot; Traverse; Control reconfiguration; Computer science; Robot control; Modular design; Self-reconfiguring modular robot; Mobile robot; Climb; Fault tolerance; Control engineering; Distributed computing; Embedded system; Engineering; Artificial intelligence","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":[0.0009538261,0.00119534,0.000561707,0.0007564877,0.0006988808,0.002201462,0.002481413,0.001419995,0.004536519],"category_scores_gemma":[0.001018061,0.000849935,0.001273623,0.000459499,0.001591257,0.002030652,0.001924361,0.002200425,0.00257979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009077382,"about_ca_system_score_gemma":0.001043628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003134828,"about_ca_topic_score_gemma":0.004059209,"domain_scores_codex":[0.999461,0.0001490352,0.00005525034,0.00008587015,0.0001723812,0.00007647144],"domain_scores_gemma":[0.9997255,0.000067722,0.00004809376,0.00007875723,0.00003664829,0.00004312401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002556128,0.000120019,0.0007612149,0.0007147631,0.000114146,0.0007939772,0.0008893496,0.2527373,0.03175681,0.5328745,0.01764149,0.161341],"study_design_scores_gemma":[0.0001290691,0.0002023899,0.0004925118,0.0003275819,0.00008281499,0.0005279136,0.0001762857,0.3325269,0.0167371,0.137086,0.5116097,0.0001017325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003943082,0.0006233127,0.977814,0.0002511029,0.0001098543,0.00014578,0.0001507879,0.008778749,0.008183142],"genre_scores_gemma":[0.09061217,0.001738021,0.8839585,0.000260116,0.00007360645,0.0007324659,0.00114394,0.001645455,0.01983574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004536519,"threshold_uncertainty_score":0.01517612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0416198300724448,"score_gpt":0.2818894508161795,"score_spread":0.2402696207437347,"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."}}