{"id":"https://openalex.org/W2771876076","doi":"https://doi.org/10.1109/iros.2017.8206561","title":"A fast search algorithm based on image pyramid for robotic grasping","display_name":"A fast search algorithm based on image pyramid for robotic grasping","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2771876076","doi":"https://doi.org/10.1109/iros.2017.8206561","mag":"2771876076"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2017.8206561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039290278","display_name":"Guangli Ren","orcid":"https://orcid.org/0000-0001-8300-3984"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangli Ren","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079578917","display_name":"Zhenzhou Shao","orcid":"https://orcid.org/0000-0002-9166-9468"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhou Shao","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087366755","display_name":"Yong Guan","orcid":"https://orcid.org/0000-0002-2373-2779"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Guan","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082228369","display_name":"Ying Qu","orcid":"https://orcid.org/0000-0002-4613-8625"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]},{"id":"https://openalex.org/I2802706902","display_name":"Knoxville College","ror":"https://ror.org/02bxrp522","country_code":"US","type":"education","lineage":["https://openalex.org/I2802706902"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Qu","raw_affiliation_strings":["Engineering College, The University of Tennessee, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Engineering College, The University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I2802706902","https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025711005","display_name":"Jindong Tan","orcid":"https://orcid.org/0000-0003-0339-8811"},"institutions":[{"id":"https://openalex.org/I2802706902","display_name":"Knoxville College","ror":"https://ror.org/02bxrp522","country_code":"US","type":"education","lineage":["https://openalex.org/I2802706902"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jindong Tan","raw_affiliation_strings":["Engineering College, The University of Tennessee, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Engineering College, The University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I2802706902","https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109096287","display_name":"Hongxing Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxing Wei","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035587843","display_name":"Guofeng Tong","orcid":"https://orcid.org/0000-0002-0701-3010"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guofeng Tong","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5039290278"],"corresponding_institution_ids":["https://openalex.org/I96852419"],"apc_list":null,"apc_paid":null,"fwci":0.6035,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70906906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2015","issue":null,"first_page":"6520","last_page":"6525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10868","display_name":"Soft Robotics and Applications","score":0.9624000191688538,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.7649586200714111},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7647742629051208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7462576627731323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6295064091682434},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6125070452690125},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5941759943962097},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5734055042266846},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.5180444717407227},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4855163097381592},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4765273332595825},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4484918415546417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.394269734621048},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15040096640586853}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.7649586200714111},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7647742629051208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462576627731323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6295064091682434},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6125070452690125},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5941759943962097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5734055042266846},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.5180444717407227},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4855163097381592},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4765273332595825},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4484918415546417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.394269734621048},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15040096640586853},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2017.8206561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W70651934","https://openalex.org/W857283562","https://openalex.org/W1892339738","https://openalex.org/W1999156278","https://openalex.org/W2033223309","https://openalex.org/W2059625476","https://openalex.org/W2076063813","https://openalex.org/W2121778397","https://openalex.org/W2123435073","https://openalex.org/W2160220161","https://openalex.org/W2240067561","https://openalex.org/W2406617005","https://openalex.org/W2416407175","https://openalex.org/W2485911221","https://openalex.org/W2523315006","https://openalex.org/W2949379496","https://openalex.org/W6689886725"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2019547100","https://openalex.org/W2477150073","https://openalex.org/W2515493494"],"abstract_inverted_index":{"To":[0],"improve":[1,85],"the":[2,18,24,32,39,42,46,50,54,65,72,80,88,93,97],"search":[3,14,25,51,82],"efficiency":[4,86],"of":[5,45,87],"robotic":[6,89],"grasping":[7,28,90],"detection,":[8],"this":[9],"paper":[10],"presents":[11],"a":[12],"novel":[13],"algorithm":[15,83],"based":[16],"on":[17,96],"image":[19],"pyramid.":[20],"It":[21],"significantly":[22],"reduces":[23],"space":[26],"for":[27],"position":[29],"detection":[30,91],"using":[31],"coarse-to-fine":[33],"strategy.":[34],"The":[35,57,75],"proposed":[36,81],"method":[37],"searches":[38],"positions":[40],"from":[41],"top":[43],"layer":[44],"pyramid,":[47],"and":[48],"initializes":[49],"area":[52],"at":[53],"next":[55],"layer.":[56],"sparse":[58],"automatic":[59],"encoder":[60],"is":[61,68],"employed":[62],"to":[63,70],"construct":[64],"model":[66],"which":[67],"used":[69],"evaluate":[71],"grasp":[73,98],"quality.":[74,99],"experimental":[76],"results":[77],"demonstrate":[78],"that":[79],"can":[84],"with":[92],"comparative":[94],"performance":[95]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}