{"id":"W2131014276","doi":"10.1109/iros.2000.895200","title":"Hardware-in-loop simulation of robots interacting with environment via algebraic differential equation","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Robot; Computer science; Hardware-in-the-loop simulation; Acceleration; Integrator; Control theory (sociology); Coordinate system; Robot kinematics; Projection (relational algebra); Simulation; Mobile robot; Algorithm; Artificial intelligence; Physics; Bandwidth (computing)","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":[0.00003121216,0.00008890864,0.0001125519,0.00006110161,0.000013021,0.00001009084,0.00004021438,0.00003807014,0.0007722767],"category_scores_gemma":[0.000006894458,0.00007710616,0.00002040135,0.00004898787,0.000005620162,0.0001089321,0.00001191619,0.0000651436,0.00002312909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004715625,"about_ca_system_score_gemma":8.166883e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001232069,"about_ca_topic_score_gemma":0.00001176267,"domain_scores_codex":[0.9994637,0.000009095595,0.0001944259,0.00009708471,0.000123376,0.0001122913],"domain_scores_gemma":[0.9997671,0.00005828799,0.00003491772,0.000107598,0.000006555087,0.00002556118],"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":[0.000003659443,0.00002766807,0.0001808087,0.00001773814,0.000009842504,0.00000110857,0.0001331619,0.9871837,0.004703783,0.000363759,0.000001791299,0.007372973],"study_design_scores_gemma":[0.0002689579,0.00004718106,0.000539893,0.00002904088,0.000008491101,9.133203e-7,0.00002389119,0.9978991,0.0009623257,0.000124254,0.000002067738,0.00009387894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1276563,0.00001006283,0.8714485,0.000008915315,0.0000918345,0.00009346248,3.794888e-7,0.00004149518,0.0006490726],"genre_scores_gemma":[0.9806529,0.000008730685,0.01914067,0.000004206295,0.00001722457,0.00000423348,0.000006998064,0.00001646297,0.0001485189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8529967,"threshold_uncertainty_score":0.8455889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710403016835002,"score_gpt":0.1934184038425273,"score_spread":0.1763143736741773,"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."}}