{"id":"https://openalex.org/W2112498042","doi":"https://doi.org/10.1109/robot.2008.4543681","title":"Basic behavior acquisition based on multisensor integration of a robot head","display_name":"Basic behavior acquisition based on multisensor integration of a robot head","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2112498042","doi":"https://doi.org/10.1109/robot.2008.4543681","mag":"2112498042"},"language":"en","primary_location":{"id":"doi:10.1109/robot.2008.4543681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2008.4543681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Robotics and Automation","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/A5024860838","display_name":"Chenggang Liu","orcid":"https://orcid.org/0000-0002-4366-1429"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenggang Liu","raw_affiliation_strings":["Department of Automation, Shanghai Jiaotong University, Shanghai, China","Department of Automation, Shanghai Jiaotong University, Shanghai"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Automation, Shanghai Jiaotong University, Shanghai","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084573070","display_name":"Jianbo Su","orcid":"https://orcid.org/0000-0001-6931-5842"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Su","raw_affiliation_strings":["Department of Automation, Shanghai Jiaotong University, Shanghai, China","Department of Automation, Shanghai Jiaotong University, Shanghai"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Automation, Shanghai Jiaotong University, Shanghai","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024860838"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.9145,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80902523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"84","issue":null,"first_page":"3094","last_page":"3099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.6764954924583435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6454152464866638},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5293582081794739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5241603851318359},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44972681999206543},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3473762571811676},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06869521737098694}],"concepts":[{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.6764954924583435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454152464866638},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5293582081794739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5241603851318359},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44972681999206543},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3473762571811676},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06869521737098694},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robot.2008.4543681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2008.4543681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W13115376","https://openalex.org/W1561130515","https://openalex.org/W1581334392","https://openalex.org/W1992539426","https://openalex.org/W1994732751","https://openalex.org/W2038345712","https://openalex.org/W2059039791","https://openalex.org/W2096613221","https://openalex.org/W2097856935","https://openalex.org/W2101456163","https://openalex.org/W2107634464","https://openalex.org/W2114298153","https://openalex.org/W2115297152","https://openalex.org/W2118877769","https://openalex.org/W2146306674","https://openalex.org/W2151949063","https://openalex.org/W2164598857","https://openalex.org/W2167501464","https://openalex.org/W2221876135","https://openalex.org/W2337975481","https://openalex.org/W2540353188","https://openalex.org/W6600510980","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,8,13,49,54,58,62,66,75,95,117,130,136,147],"basic":[4,100,114],"behavior":[5,101],"acquisition":[6,102],"of":[7,23,26,33,48,80,94,99,112,116,138],"robot":[9,17,96,118],"head":[10,18,36,106,119],"based":[11,40],"on":[12,41],"multisensor":[14,86,123,132],"integration.":[15],"A":[16],"generally":[19],"has":[20],"several":[21],"degrees":[22],"freedom":[24],"(D.O.F.)":[25],"motions":[27],"as":[28,30],"well":[29],"different":[31],"kinds":[32],"sensors.":[34],"The":[35],"motion":[37],"is":[38],"planned":[39],"all":[42],"sensors\u2019":[43],"feedback.":[44],"We":[45],"take":[46],"advantage":[47],"Jacobian":[50,78],"matrix":[51],"to":[52,83],"describe":[53],"differential":[55],"relations":[56],"between":[57,68],"sensor":[59],"feedback":[60],"and":[61,105,121,145],"motor":[63],"motions.":[64],"Hence,":[65],"relation":[67],"two":[69,76],"sensors":[70,82],"could":[71],"be":[72,89],"formulated":[73],"by":[74],"respective":[77],"matrices":[79],"both":[81,113],"motors.":[84],"Consequently,":[85],"integration":[87,124,133],"can":[88],"employed":[90],"for":[91],"better":[92],"performance":[93,137],"head.":[97],"Experiments":[98],"like":[103],"gazing":[104],"posture":[107],"control":[108],"are":[109,125],"conducted.":[110],"Performances":[111],"behaviors":[115],"before":[120],"after":[122],"compared,":[126],"which":[127],"demonstrate":[128],"that":[129],"proposed":[131],"way":[134],"improves":[135],"control,":[139],"robustness":[140],"against":[141],"some":[142],"sensor\u2019s":[143],"failure,":[144],"reduces":[146],"overall":[148],"computation.":[149]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}