{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006863736,0.0006494834,0.000691701,0.0004925837,0.0004407315,0.0009079562,0.0007888707,0.0006373737,0.001497018],"category_scores_gemma":[0.002919637,0.000317013,0.0004226016,0.0003217321,0.001248055,0.001278001,0.001615021,0.0007699894,0.0001678034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000664631,"about_ca_system_score_gemma":0.0006889983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002223453,"about_ca_topic_score_gemma":0.001372197,"domain_scores_codex":[0.9996209,0.0001140273,0.00001958147,0.00006894492,0.00009615075,0.00008040071],"domain_scores_gemma":[0.998487,0.0009796082,0.0001989033,0.0001127469,0.0001297084,0.00009195333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000087288,0.0000207602,0.000349431,0.0001205573,0.000024084,0.0002051267,0.0001399475,0.8968352,0.008678913,0.08408611,0.0003583404,0.009094208],"study_design_scores_gemma":[0.000009132723,0.00002359658,0.00009799501,0.000005562537,0.000003442231,0.00002305335,0.00002372237,0.9775271,0.0005957831,0.02121194,0.000473402,0.000005175508],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1007318,0.0006988848,0.8918901,0.0005019257,0.00004676212,0.0000426575,0.0000601492,0.0003305324,0.005697208],"genre_scores_gemma":[0.9808877,0.0002203743,0.01661596,0.00005323978,0.00001824908,0.0001039463,0.00003314161,0.00004814613,0.002019326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002223453,"threshold_uncertainty_score":0.005008042,"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."}}