{"id":"https://openalex.org/W2161995054","doi":"https://doi.org/10.1109/iros.2004.1389414","title":"Path planning of an AFM-based nanomanipulator using virtual force reflection","display_name":"Path planning of an AFM-based nanomanipulator using virtual force reflection","publication_year":2005,"publication_date":"2005-04-01","ids":{"openalex":"https://openalex.org/W2161995054","doi":"https://doi.org/10.1109/iros.2004.1389414","mag":"2161995054"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2004.1389414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2004.1389414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5098551221","display_name":"M. Arnmi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Arnmi","raw_affiliation_strings":["Laboratoire Vision et Robotique, Universit\u00e9 d'Orl\u00e9nas, Bourges, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Vision et Robotique, Universit\u00e9 d'Orl\u00e9nas, Bourges, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025474694","display_name":"Antoine Ferreira","orcid":"https://orcid.org/0000-0001-6295-3876"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Ferreira","raw_affiliation_strings":["Laboratoire Vision et Robotique, Universit\u00e9 d'Orl\u00e9nas, Bourges, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Vision et Robotique, Universit\u00e9 d'Orl\u00e9nas, Bourges, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"577","last_page":"582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994999766349792,"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":0.9986000061035156,"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/motion-planning","display_name":"Motion planning","score":0.8211983442306519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858516335487366},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6359038949012756},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.5534906387329102},{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.5419943332672119},{"id":"https://openalex.org/keywords/collision-detection","display_name":"Collision detection","score":0.5368931889533997},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.517806887626648},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5058479309082031},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47691795229911804},{"id":"https://openalex.org/keywords/haptic-technology","display_name":"Haptic technology","score":0.4618896543979645},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.44290122389793396},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.4425581693649292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42600560188293457},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.42445534467697144},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.41054463386535645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3697407841682434},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.307199090719223},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.293144166469574},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.24126046895980835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09309473633766174}],"concepts":[{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.8211983442306519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858516335487366},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6359038949012756},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.5534906387329102},{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.5419943332672119},{"id":"https://openalex.org/C199668693","wikidata":"https://www.wikidata.org/wiki/Q1550329","display_name":"Collision detection","level":3,"score":0.5368931889533997},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.517806887626648},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5058479309082031},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47691795229911804},{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.4618896543979645},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.44290122389793396},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.4425581693649292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42600560188293457},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.42445534467697144},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.41054463386535645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3697407841682434},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.307199090719223},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.293144166469574},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.24126046895980835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09309473633766174},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2004.1389414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2004.1389414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)","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":14,"referenced_works":["https://openalex.org/W40446464","https://openalex.org/W101508493","https://openalex.org/W1646038686","https://openalex.org/W2050771100","https://openalex.org/W2074144711","https://openalex.org/W2111734738","https://openalex.org/W2114800843","https://openalex.org/W2117981918","https://openalex.org/W2151607042","https://openalex.org/W2161176408","https://openalex.org/W2169528473","https://openalex.org/W2179572182","https://openalex.org/W3021035068","https://openalex.org/W4242811155"],"related_works":["https://openalex.org/W3020555194","https://openalex.org/W2793256277","https://openalex.org/W2348235448","https://openalex.org/W4360958759","https://openalex.org/W2116218375","https://openalex.org/W2389906634","https://openalex.org/W288156810","https://openalex.org/W176898926","https://openalex.org/W1562406979","https://openalex.org/W2070240107"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,37,40,91],"practical":[4],"planning":[5,93],"system":[6],"for":[7,107],"2D":[8],"assembly":[9],"tasks":[10],"at":[11],"the":[12,16,27,73],"microscale.":[13],"To":[14],"improve":[15],"real-time":[17,23],"observation":[18],"and":[19,32,50,52,62],"manipulation,":[20],"we":[21],"proposed":[22],"3-D":[24],"reconstruction":[25],"of":[26,43,75],"microworld":[28],"using":[29],"image":[30],"processing":[31],"virtualized":[33],"reality":[34],"techniques.":[35],"Then,":[36],"planner":[38],"covers":[39],"whole":[41],"range":[42],"problems":[44],"in":[45],"object":[46],"assignment,":[47],"obstacle":[48],"detection":[49],"avoidance":[51],"path":[53],"trajectory.":[54],"We":[55],"describe":[56],"algorithms":[57],"based":[58,99],"on":[59,100],"optimization":[60],"theory":[61],"Voronoi":[63],"graph":[64],"construction.":[65],"As":[66],"automatic":[67],"motion":[68,92],"planners":[69],"fail":[70],"due":[71,79],"to":[72,80,89],"difficulty":[74],"discovering":[76],"critical":[77],"configurations":[78],"microdomain":[81],"interactions,":[82],"cooperation":[83],"with":[84],"operator":[85],"skills":[86],"is":[87],"able":[88],"solve":[90],"query.":[94],"The":[95],"feasible":[96],"haptically-generated":[97],"paths":[98],"potentials":[101],"fields":[102],"reaction":[103],"forces":[104],"are":[105],"selected":[106],"efficient":[108],"pushing-based":[109],"manipulation":[110],"without":[111],"collisions.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
