{"id":"W2116660002","doi":"10.1109/aim.2010.5695930","title":"Building a mobile manipulator from off-the-shelf components","year":2010,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Mobile manipulator; Off the shelf; Mobile device; Software; Base (topology); Mobile robot; Mobile computing; Manipulator (device); Software engineering; Embedded system; Distributed computing; Human–computer interaction; Systems engineering; Engineering; Operating system; Robot; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006244297,0.0001070977,0.00009781245,0.00002237288,0.0000595937,0.00004713895,0.0002462593,0.00005896834,0.0009850085],"category_scores_gemma":[0.000006127656,0.00007657922,0.00004478711,0.00005361772,0.0000216635,0.00006245125,0.00003910695,0.0002216466,0.0002418845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000983065,"about_ca_system_score_gemma":0.00000263642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002127972,"about_ca_topic_score_gemma":0.00007457237,"domain_scores_codex":[0.9994333,0.000005687526,0.0001407826,0.0001274148,0.0001156878,0.0001770745],"domain_scores_gemma":[0.9995583,0.00003846188,0.00001104897,0.0003164905,0.00001446451,0.00006126381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003740793,0.00003602693,0.001445481,0.00001448906,0.00007203261,0.00001106449,0.0002819604,0.03047799,0.8880487,0.009757118,0.002261367,0.06759004],"study_design_scores_gemma":[0.0001772824,0.00001911196,0.006819485,0.00001533335,0.00001956888,0.00001143706,0.00005264745,0.5615832,0.2729411,0.002124673,0.1558141,0.0004221364],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282795,0.0001550888,0.06802622,0.0000237767,0.0009590763,0.0001326076,0.000005202367,0.0002360712,0.002182482],"genre_scores_gemma":[0.99123,0.00001809545,0.008297239,0.00006046423,0.0001556171,0.00002130255,0.000005028356,0.00002451424,0.0001878009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6151077,"threshold_uncertainty_score":0.9999282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468986874057954,"score_gpt":0.2280018896421054,"score_spread":0.2133120209015258,"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."}}