{"_buckets": {"deposit": "a27bdbe4-2517-4483-89f9-a8eabe99304a"}, "_deposit": {"created_by": 15, "id": "2000434", "owner": "15", "owners": [15], "owners_ext": {"displayname": "北見工業大学学術機関リポジトリ（KIT-R）", "username": "kitir"}, "pid": {"revision_id": 0, "type": "depid", "value": "2000434"}, "status": "published"}, "_oai": {"id": "oai:kitami-it.repo.nii.ac.jp:02000434"}, "author_link": [], "item_1646810750418": {"attribute_name": "出版タイプ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_3_biblio_info_186": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2018-09", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "9", "bibliographicPageStart": "3170", "bibliographicVolumeNumber": "18", "bibliographic_titles": [{"bibliographic_title": "Sensors", "bibliographic_titleLang": "en"}]}]}, "item_3_description_184": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Robot navigation is an indispensable component of any mobile service robot. Many path planning algorithms generate a path which has many sharp or angular turns. Such paths are not fit for mobile robot as it has to slow down at these sharp turns. These robots could be carrying delicate, dangerous, or precious items and executing these sharp turns may not be feasible kinematically. On the contrary, smooth trajectories are often desired for robot motion and must be generated while considering the static and dynamic obstacles and other constraints like feasible curvature, robot and lane dimensions, and speed. The aim of this paper is to succinctly summarize and review the path smoothing techniques in robot navigation and discuss the challenges and future trends. Both autonomous mobile robots and autonomous vehicles (outdoor robots or self-driving cars) are discussed. The state-of-the-art algorithms are broadly classified into different categories and each approach is introduced briefly with necessary background, merits, and drawbacks. Finally, the paper discusses the current and future challenges in optimal trajectory generation and smoothing research.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_3_publisher_212": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "MDPI", "subitem_publisher_language": "en"}]}, "item_3_relation_191": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "https://doi.org/10.3390/s18093170", "subitem_relation_type_select": "DOI"}}]}, "item_3_rights_192": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "c2018 by the authors", "subitem_rights_language": "en"}]}, "item_3_select_195": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_select_item": "publisher", "subitem_select_language": "en"}]}, "item_access_right": {"attribute_name": "アクセス権", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Abhijeet Ravankar", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Ankit A. Ravankar", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Yukinori Kobayashi", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Yohei Hoshino", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Chao-Chung Peng", "creatorNameLang": "en"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2023-04-24"}], "download_preview_message": "", "file_order": 0, "filename": "sensors-18-03170-v2.pdf", "filesize": [{"value": "2.3 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 2300000.0, "url": {"url": "https://kitami-it.repo.nii.ac.jp/record/2000434/files/sensors-18-03170-v2.pdf"}, "version_id": "9dd65124-fb0a-424b-bcb9-17ccadec661a"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Path Smoothing Techniques in Robot Navigation: State-of-the-Art, Current and Future Challenges", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Path Smoothing Techniques in Robot Navigation: State-of-the-Art, Current and Future Challenges", "subitem_title_language": "en"}]}, "item_type_id": "3", "owner": "15", "path": ["87"], "permalink_uri": "https://kitami-it.repo.nii.ac.jp/records/2000434", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-04-24"}, "publish_date": "2023-04-24", "publish_status": "0", "recid": "2000434", "relation": {}, "relation_version_is_last": true, "title": ["Path Smoothing Techniques in Robot Navigation: State-of-the-Art, Current and Future Challenges"], "weko_shared_id": -1}