{"doi":"10.1109/mmul.2017.4031311","title":"Deep Learning Triggers a New Era in Industrial Robotics","abstract":null,"journal":"IEEE MultiMedia","year":2017,"id":617980,"datarank":0.48283137373023016,"base_score":3.2188758248682006,"endowment":3.2188758248682006,"self_citation_contribution":0.48283137373023016,"citation_network_contribution":0.0,"self_endowment_contribution":0.48283137373023016,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":24,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1593920,"name":"Ryo Miyajima","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Deep Learning Triggers a New Era in Industrial Robotics","abstract":"The pattern recognition capabilities of deep learning have pushed the limits in various fields—and industrial robotics is no exception. Deep learning alone will not solve all the problems encountered in industrial robotics, but it will certainly improve the perception capabilities of robotics systems, given its power to recognize complex real-world patterns robustly. Here, the author examines robotics applications in deep learning.","is_dataset_classified":null,"base_score":3.2188758248682006,"endowment":3.2188758248682006,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19910364","pmcid":null,"openalex_id":"https://openalex.org/W2767518918","authors":[],"funders":[],"total_grants":0,"fwci":1.9839,"citation_percentile":0.87388225,"influential_citations":0,"citation_trend":[{"year":2018,"count":5},{"year":2019,"count":1},{"year":2020,"count":4},{"year":2021,"count":4},{"year":2022,"count":4},{"year":2023,"count":3},{"year":2024,"count":2},{"year":2025,"count":1}],"oa_status":"closed","license":"https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html","oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/93/8100664/08100669.pdf?arnumber=8100669","host_type":"publisher"},{"url":"https://doi.org/10.1109/mmul.2017.4031311","host_type":"journal"}],"fields_of_study":["Robot Manipulation and Learning","Reinforcement Learning in Robotics","Robotic Path Planning Algorithms"],"mesh_terms":[],"keywords":["Robotics","Artificial intelligence","Deep learning","Computer science","Robot"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-03T03:08:16.820607Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}