{"id":"W7133329782","doi":"10.65521/ijmer.v13i1.97","title":"Robotic Perception and Manipulation in Unstructured Environments","year":2025,"lang":"","type":"article","venue":"International Journal on Mechanical Engineering and Robotics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Greenfield Research (Canada)","funders":"","keywords":"GRASP; Robot; Perception; Robotics; Reinforcement learning; Active perception; Motion (physics); Programming by demonstration","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":[0.000316656,0.0006175228,0.0005907943,0.0003815366,0.0004088053,0.00178019,0.000663385,0.001116778,0.001616339],"category_scores_gemma":[0.0009805186,0.0002965161,0.0003719304,0.0003345314,0.002017189,0.00238359,0.001327912,0.0008307612,0.0006344604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003284048,"about_ca_system_score_gemma":0.0004159271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007001197,"about_ca_topic_score_gemma":0.0006046996,"domain_scores_codex":[0.9995512,0.00007857397,0.00002082769,0.0001029248,0.0002081823,0.0000381905],"domain_scores_gemma":[0.9997117,0.000144547,0.00005088881,0.0000287792,0.00003752452,0.00002652511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001883255,0.0001458749,0.001108451,0.002473171,0.00009781183,0.0008154652,0.001051601,0.08106942,0.1581829,0.2453524,0.008059397,0.5014552],"study_design_scores_gemma":[0.00005268915,0.0005285908,0.004793948,0.0006928794,0.00006867976,0.001844387,0.001101219,0.3496787,0.0521481,0.4352126,0.1536815,0.0001968323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02534287,0.04013843,0.8935509,0.00187402,0.0003388537,0.0000995606,0.00008365785,0.0007578474,0.037814],"genre_scores_gemma":[0.6705981,0.05204286,0.2590651,0.0009813289,0.0007139851,0.0002917922,0.000252463,0.00017816,0.01587614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00178019,"threshold_uncertainty_score":0.005407155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064541582763364,"score_gpt":0.2389397408342287,"score_spread":0.2282943250065951,"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."}}