{"id":"W4285148990","doi":"10.1109/tro.2022.3175438","title":"Energy Autonomy for Robot Systems With Constrained Resources","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Robot; Resilience (materials science); Battery (electricity); Computer science; Mobile robot; Energy (signal processing); Work (physics); Autonomy; Control engineering; Key (lock); Relation (database); Simulation; Distributed computing; Engineering; Artificial intelligence; Power (physics); Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002678353,0.0002522154,0.0003307075,0.0002127445,0.0007413242,0.0002390741,0.0008676453,0.00005964637,0.00001485728],"category_scores_gemma":[0.000002315011,0.0002431036,0.0001434726,0.0004921199,0.00006566597,0.0002033162,0.000006077012,0.0002209796,0.000007833701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003231982,"about_ca_system_score_gemma":0.0002683369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001242814,"about_ca_topic_score_gemma":0.00002684729,"domain_scores_codex":[0.9979831,0.0001728594,0.0003968976,0.0005267468,0.0004736941,0.0004466879],"domain_scores_gemma":[0.9985518,0.0002828464,0.0001882674,0.0007046141,0.0001213235,0.00015117],"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":[0.00004517989,0.0001938885,0.00000336277,0.00001971862,0.0001239957,0.0000145023,0.0002268247,0.984919,0.0001800107,0.01052547,0.0002093338,0.003538775],"study_design_scores_gemma":[0.001771381,0.0006101404,0.000006790814,0.00002622784,0.00006367141,0.0001088366,0.0003214582,0.982662,0.0004302433,0.00005764179,0.01357773,0.0003639181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00008013775,0.00006445431,0.9956836,0.0008507421,0.001742345,0.0005948113,0.0001789346,0.0004132712,0.000391687],"genre_scores_gemma":[0.9728088,0.000001739877,0.02373967,0.0002089219,0.00006221018,0.0008274149,0.00001167086,0.00003377051,0.002305769],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9727287,"threshold_uncertainty_score":0.9913478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588733309852455,"score_gpt":0.2117975281566986,"score_spread":0.1959101950581741,"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."}}