{"id":"W4407179514","doi":"10.1017/s0263574725000116","title":"Incorporating control inputs in continuous-time Gaussian process state estimation for robotics","year":2025,"lang":"en","type":"article","venue":"Robotica","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robotics; Artificial intelligence; State (computer science); Process (computing); Computer science; Estimation; Control engineering; Gaussian process; Control (management); Control theory (sociology); Gaussian; Engineering; Robot; Algorithm; Systems engineering","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":[0.001802954,0.0009392049,0.0008382909,0.0005592664,0.0003854065,0.0009184718,0.001220364,0.001245614,0.001201958],"category_scores_gemma":[0.006540287,0.0006194967,0.0006733211,0.0008778325,0.001308962,0.001447105,0.00114665,0.001673161,0.000435637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007731985,"about_ca_system_score_gemma":0.001138033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01006884,"about_ca_topic_score_gemma":0.0079268,"domain_scores_codex":[0.9990828,0.0002814616,0.00005106081,0.0001889199,0.000311486,0.00008427685],"domain_scores_gemma":[0.9971201,0.001883564,0.0002339181,0.0002920593,0.0004070222,0.00006328289],"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":[0.000103193,0.00005924588,0.0004578038,0.00005721219,0.00003441872,0.00005304662,0.00005457642,0.9331929,0.00306842,0.01054441,0.0004027755,0.05197198],"study_design_scores_gemma":[0.000003751587,0.00001413078,0.00005788739,0.000002689513,0.000002922073,0.00000377145,0.000001630983,0.9971302,0.0006628096,0.00195069,0.0001650008,0.000004574291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002629369,0.000065906,0.9967868,0.00005039752,0.00002046297,0.00000782858,0.000009499406,0.0002200188,0.0002097345],"genre_scores_gemma":[0.7163839,0.0003525609,0.2801563,0.0001956426,0.000138808,0.0001444545,0.0001546193,0.0001300041,0.002343737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01006884,"threshold_uncertainty_score":0.02002043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004572955463864054,"score_gpt":0.2284500386978009,"score_spread":0.2238770832339368,"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."}}