{"id":"W2914955664","doi":"10.4018/978-1-5225-5276-5.ch002","title":"Design, Analysis, and Applications of Mobile Manipulators","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in computational intelligence and robotics book series","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Wrench; Slip (aerodynamics); Control theory (sociology); Inertia; Payload (computing); Kinematics; Engineering; Joint (building); Simulation; Computer science; Control engineering; Structural engineering; Physics; Aerospace engineering; Artificial intelligence; Control (management); Network packet; Classical mechanics","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":[0.00007716777,0.0002180188,0.0003768974,0.0002714053,0.0000494442,0.00002086057,0.00009880783,0.0001337044,0.00006623004],"category_scores_gemma":[0.000002851205,0.000223598,0.00004624151,0.0001011714,0.0002475316,0.0002585468,0.00004636294,0.0001282991,0.000004885084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002406923,"about_ca_system_score_gemma":0.00002007706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001391188,"about_ca_topic_score_gemma":0.00002767295,"domain_scores_codex":[0.9990661,0.000006045108,0.0004337285,0.0002330891,0.0001452407,0.0001157732],"domain_scores_gemma":[0.9994492,0.0001625463,0.0001070383,0.0001350723,0.00009735601,0.00004879835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003397774,0.000003759005,0.00001252199,0.00009012329,0.00007458944,0.000001148041,0.00006893992,0.7030855,5.586651e-7,0.2926234,0.000002819575,0.004033206],"study_design_scores_gemma":[0.00002614331,0.00009103499,0.000009891774,0.00008817615,0.0001402968,0.000008757291,0.00005552833,0.4978214,0.00003606866,0.4986277,0.00283442,0.0002605406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000002035619,0.01540537,0.978928,0.000005440366,0.0000739514,0.0002699281,0.00001559132,0.00003306254,0.005266682],"genre_scores_gemma":[0.004045891,0.09147318,0.8907267,0.00004716566,0.0001182187,0.00007179937,0.000156846,0.00008067572,0.01327955],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2060044,"threshold_uncertainty_score":0.911806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140036351824365,"score_gpt":0.2499395509797714,"score_spread":0.2359359157973349,"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."}}