{"id":"W3003354525","doi":"10.1109/iros40897.2019.8968279","title":"Connectivity-Preserving Swarm Teleoperation With A Tree Network","year":2019,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Swarm behaviour; Teleoperation; Computer science; Robot; Operator (biology); Constructive; Tree (set theory); Swarm robotics; Synchronizing; Tree network; Set (abstract data type); Distributed computing; Artificial intelligence; Mathematics; Process (computing); Telecommunications","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":[0.0001689447,0.0002639671,0.0002052424,0.0002386015,0.0003166177,0.0003210491,0.0003828736,0.0002575083,0.0007066146],"category_scores_gemma":[0.000492352,0.00009121148,0.0001597323,0.0001718058,0.000380573,0.0006896608,0.0006066652,0.0002678107,0.000121143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002206337,"about_ca_system_score_gemma":0.0002162936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007224714,"about_ca_topic_score_gemma":0.0008479959,"domain_scores_codex":[0.9998946,0.00002887506,0.000004637237,0.00002344903,0.00003287969,0.00001552292],"domain_scores_gemma":[0.9997961,0.00006805854,0.00004928474,0.00002871164,0.00003492539,0.00002283545],"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":[0.0003332516,0.0001266167,0.001568619,0.0001044237,0.00004479213,0.0005149943,0.0007457101,0.591545,0.1946703,0.07369453,0.001397664,0.1352542],"study_design_scores_gemma":[0.0000136052,0.0002136344,0.0003454604,0.000004946443,0.000008499259,0.00009142368,0.00004256444,0.9837578,0.005542631,0.008700719,0.001269451,0.000009244786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1289571,0.00008359677,0.8660155,0.00008396045,0.00001901984,0.00002812361,0.00001590489,0.0002092581,0.00458758],"genre_scores_gemma":[0.9524645,0.00005913319,0.04622948,0.00002856112,0.000007797862,0.00003817329,0.00002050754,0.00001600202,0.001135824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007224714,"threshold_uncertainty_score":0.002363861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00513069780413087,"score_gpt":0.1714736181521575,"score_spread":0.1663429203480266,"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."}}