{"id":"https://openalex.org/W2479346759","doi":"https://doi.org/10.1109/hsi.2016.7529636","title":"Recognition of human-robot motion intentions by trajectory observation","display_name":"Recognition of human-robot motion intentions by trajectory observation","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2479346759","doi":"https://doi.org/10.1109/hsi.2016.7529636","mag":"2479346759"},"language":"en","primary_location":{"id":"doi:10.1109/hsi.2016.7529636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2016.7529636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Conference on Human System Interactions (HSI)","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/A5024471324","display_name":"Rainer Palm","orcid":null},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Rainer Palm","raw_affiliation_strings":["AASS, Dept. of Technology \u00d6rebro University, \u00d6rebro, Sweden"],"affiliations":[{"raw_affiliation_string":"AASS, Dept. of Technology \u00d6rebro University, \u00d6rebro, Sweden","institution_ids":["https://openalex.org/I26437253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065201796","display_name":"Ravi Teja Chadalavada","orcid":null},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ravi Chadalavada","raw_affiliation_strings":["AASS, Dept. of Technology \u00d6rebro University, \u00d6rebro, Sweden"],"affiliations":[{"raw_affiliation_string":"AASS, Dept. of Technology \u00d6rebro University, \u00d6rebro, Sweden","institution_ids":["https://openalex.org/I26437253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088586617","display_name":"Achim J. Lilienthal","orcid":"https://orcid.org/0000-0003-0217-9326"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Achim J. Lilienthal","raw_affiliation_strings":["AASS, Dept. of Technology \u00d6rebro University, \u00d6rebro, Sweden"],"affiliations":[{"raw_affiliation_string":"AASS, Dept. of Technology \u00d6rebro University, \u00d6rebro, Sweden","institution_ids":["https://openalex.org/I26437253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024471324"],"corresponding_institution_ids":["https://openalex.org/I26437253"],"apc_list":null,"apc_paid":null,"fwci":1.0712,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78996058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"229","last_page":"235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9988999962806702,"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":0.9988999962806702,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9959999918937683,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7723196148872375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6671838760375977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6332155466079712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5947866439819336},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5674905180931091},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5589178800582886},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.4460332989692688},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.43699461221694946},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3244151473045349},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08035412430763245}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7723196148872375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671838760375977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6332155466079712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5947866439819336},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5674905180931091},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5589178800582886},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.4460332989692688},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.43699461221694946},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3244151473045349},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08035412430763245},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hsi.2016.7529636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2016.7529636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Conference on Human System Interactions (HSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W25311586","https://openalex.org/W192986218","https://openalex.org/W1488778327","https://openalex.org/W1577076086","https://openalex.org/W1581560749","https://openalex.org/W1642484441","https://openalex.org/W1963849668","https://openalex.org/W1983771635","https://openalex.org/W2046213647","https://openalex.org/W2088604406","https://openalex.org/W2107726111","https://openalex.org/W2108197984","https://openalex.org/W2123885062","https://openalex.org/W2135261438","https://openalex.org/W2144557291","https://openalex.org/W2161082723","https://openalex.org/W2177274602","https://openalex.org/W2230136499","https://openalex.org/W2288655165","https://openalex.org/W2317407941","https://openalex.org/W2403419699","https://openalex.org/W2528110818","https://openalex.org/W2615718165","https://openalex.org/W6607789260","https://openalex.org/W6629417589","https://openalex.org/W6689393139","https://openalex.org/W6699504002"],"related_works":["https://openalex.org/W2903025760","https://openalex.org/W4289147272","https://openalex.org/W2122871747","https://openalex.org/W3114279067","https://openalex.org/W2101105382","https://openalex.org/W4287179229","https://openalex.org/W3205513966","https://openalex.org/W3120459843","https://openalex.org/W4366547574","https://openalex.org/W3200191727"],"abstract_inverted_index":{"The":[0,89],"intention":[1,34],"of":[2,17,26,44,52,61,91,114],"humans":[3],"and":[4,24,38,48,64,69,97,108],"autonomous":[5],"robots":[6],"to":[7],"interact":[8],"in":[9],"shared":[10],"spatial":[11],"areas":[12],"is":[13,56,79],"a":[14,59,71],"challenging":[15],"field":[16],"research":[18],"regarding":[19],"human":[20,37,68],"safety,":[21],"system":[22],"stability":[23],"performance":[25],"the":[27,33,41,49,53,62,76,92,112,115],"system's":[28],"behavior.":[29],"In":[30],"this":[31],"paper":[32],"recognition":[35],"between":[36,67],"robot":[39,70],"from":[40,81],"control":[42,85],"point":[43],"view":[45],"are":[46,87,101],"addressed":[47],"time":[50],"schedule":[51],"exchanged":[54],"signals":[55],"discussed.":[57,103],"After":[58],"description":[60],"kinematic":[63],"geometric":[65],"relations":[66],"so-called":[72],"\u201ccompass":[73],"dial\u201d":[74],"with":[75],"relative":[77],"velocities":[78],"presented":[80],"which":[82],"suitable":[83],"fuzzy":[84],"rules":[86],"derived.":[88],"computation":[90],"collision":[93],"times":[94],"at":[95],"intersections":[96],"possible":[98],"avoidance":[99],"strategies":[100],"further":[102],"Computations":[104],"based":[105],"on":[106],"simulated":[107],"experimental":[109],"data":[110],"show":[111],"applicability":[113],"methods":[116],"presented.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}