{"id":"W7113906092","doi":"10.1145/3761668.3761692","title":"Path Smoothing Optimization for Mobile Robots in Intelligent Chemistry Laboratory Based on Improved A* Algorithm","year":2025,"lang":"","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Path (computing); Motion planning; Smoothing; Automation; Mobile robot; Any-angle path planning; MATLAB","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":[0.0003801372,0.0005780308,0.0006219335,0.0006054167,0.0004523045,0.0004504025,0.0006780241,0.0006311454,0.00131158],"category_scores_gemma":[0.0007470143,0.0003392324,0.0005208096,0.0005106168,0.000436045,0.0005332883,0.0005939925,0.0006237494,0.0002584156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004766033,"about_ca_system_score_gemma":0.001357204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006134873,"about_ca_topic_score_gemma":0.003692925,"domain_scores_codex":[0.999831,0.00003445681,0.00001011184,0.00004288874,0.0000589502,0.00002257751],"domain_scores_gemma":[0.9996978,0.0001310913,0.00004265722,0.00002799069,0.00008094563,0.00001960329],"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":[0.00006828948,0.00003553365,0.0005686409,0.0000526031,0.0000233809,0.00004296269,0.00004485462,0.9066806,0.006620365,0.006510094,0.0007421082,0.07861054],"study_design_scores_gemma":[0.000006372751,0.00002667481,0.00006705586,0.000001881921,0.000002543562,0.000007503589,0.000003587135,0.9981039,0.0005638818,0.000813149,0.0004006797,0.000002846119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01811603,0.00009497167,0.9801062,0.00004326458,0.00001862439,0.00002735922,0.00001634738,0.0003647406,0.001212484],"genre_scores_gemma":[0.402691,0.000148124,0.5943173,0.00005160091,0.0000179859,0.0001797319,0.00009425034,0.0001001687,0.002399876],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006134873,"threshold_uncertainty_score":0.01219833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009370230431587743,"score_gpt":0.2630055090295661,"score_spread":0.2536352785979784,"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."}}