{"id":"W4312645764","doi":"10.1109/iros47612.2022.9981487","title":"Human-Humanoid Robot Cooperative Load Transportation: Model-based Control Approach","year":2022,"lang":"en","type":"article","venue":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Humanoid robot; Robot; Observer (physics); Task (project management); Computer science; Torque; Simulation; Robot control; Human–computer interaction; Mobile robot; Control engineering; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004415353,0.0007249888,0.0007209298,0.0003261107,0.0004515815,0.0007936043,0.0008329723,0.0008228014,0.001615015],"category_scores_gemma":[0.0006048267,0.0003104252,0.0005112065,0.0002627559,0.0005899506,0.0004880429,0.0007947576,0.0006022447,0.0002877627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004422455,"about_ca_system_score_gemma":0.0006226395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008824341,"about_ca_topic_score_gemma":0.005402097,"domain_scores_codex":[0.9998292,0.00004596707,0.000007837482,0.00004627262,0.00005141125,0.00001934453],"domain_scores_gemma":[0.999775,0.00007018031,0.00005684454,0.0000143662,0.000069308,0.00001423941],"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":[0.00006177979,0.00003929158,0.0002990595,0.0001282036,0.00004288087,0.0001254579,0.000139314,0.9648971,0.005603007,0.004467241,0.0005694882,0.02362711],"study_design_scores_gemma":[0.000006167754,0.00003607526,0.00006746563,0.000005071357,0.0000063015,0.000009816981,0.000009916384,0.998763,0.0002663667,0.0005025877,0.000323246,0.000003955951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01428352,0.0003673089,0.9801106,0.000160666,0.00005519029,0.00004604554,0.000017133,0.0002966705,0.004662767],"genre_scores_gemma":[0.9481102,0.0004523616,0.04688296,0.00007523801,0.00004768397,0.0002565758,0.00004193665,0.00003329741,0.004099706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008824341,"threshold_uncertainty_score":0.017546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04074534544986793,"score_gpt":0.2627717846182155,"score_spread":0.2220264391683476,"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."}}