Performance information

• Pedestrian Tracking Using Ankle-Level 2D-LiDAR Based on ByteTrack
  Md. Mohibullah; Yuhei Hironaka; Yusuke Suda; Ryota Suzuki; Mahmudul Hasan; Yoshinori Kobayashi
  Lecture Notes in Computer Science, International Symposium on Visual Computing(ISVC2024), First page：211, Last page：222, Jan. 2025, [Reviewed]
  Springer Nature Switzerland, In book
  DOI：https://doi.org/10.1007/978-3-031-77392-1_16
  DOI ID：10.1007/978-3-031-77392-1_16, ISSN：0302-9743, eISSN：1611-3349
• Impression Evaluation of Chat Robot with Bodily Emotional Expression Incorporating Large-Scale Language Models
  Zhong Qiang; Yukiharu Nagai; Hisato Fukuda; Ryota Suzuki; Yoshinori Kobayashi
  Lecture Notes in Computer Science, International Conference on Intelligent Computing(ICIC2024), First page：439, Last page：449, Jul. 2024, [Reviewed]
  Springer Nature Singapore, English, In book
  DOI：https://doi.org/10.1007/978-981-97-5609-4_34
  DOI ID：10.1007/978-981-97-5609-4_34, ISSN：0302-9743, eISSN：1611-3349
• Supervised Spatially Contrastive Learning　　　　　　　　　　　　　　　
  Kodai NAKASHIMA; Hirokatsu KATAOKA; Kenji IWATA; Ryota SUZUKI; Yutaka SATOH
  Journal of the Japan Society for Precision Engineering, Volume：88, Number：1, First page：66, Last page：71, Jan. 2022, [Reviewed]
  Japan Society for Precision Engineering, Japanese, Scientific journal
  DOI：https://doi.org/10.2493/jjspe.88.66
  DOI ID：10.2493/jjspe.88.66, ISSN：0912-0289, eISSN：1882-675X, J-Global ID：202202282770023500
• Analysis of Use of Figures and Tables in Computer Vision Papers Using Image Recognition Technique　　　　　　　　　　　　　　　
  Shintaro YAMAMOTO; Ryota SUZUKI; Seitaro SHINAGAWA; Hirokatsu KATAOKA; Shigeo MORISHIMA
  Journal of the Japan Society for Precision Engineering, Volume：87, Number：12, First page：995, Last page：1002, Dec. 2021, [Reviewed]
  Japan Society for Precision Engineering, Japanese, Scientific journal
  DOI：https://doi.org/10.2493/jjspe.87.995
  DOI ID：10.2493/jjspe.87.995, ISSN：0912-0289, eISSN：1882-675X, J-Global ID：202202225724021688
• A Fractal Geometry Based Method for Dataset Augmentation by Automatically Generation of Multi-View Images　　　　　　　　　　　　　　　
  Ryosuke YAMADA; Ryota SUZUKI; Akio NAKAMURA; Hirokatsu KATAOKA
  Journal of the Japan Society for Precision Engineering, Volume：87, Number：12, First page：1013, Last page：1019, Dec. 2021, [Reviewed]
  Japan Society for Precision Engineering, Japanese, Scientific journal
  DOI：https://doi.org/10.2493/jjspe.87.1013
  DOI ID：10.2493/jjspe.87.1013, ISSN：0912-0289, eISSN：1882-675X, J-Global ID：202202242476734986
• A Case Study on User Evaluation of Scientific Publication Summarization by Japanese Students
  Shintaro Yamamoto; Ryota Suzuki; Tsukasa Fukusato; Hirokatsu Kataoka; Shigeo Morishima
  Applied Sciences, Volume：11, Number：14, First page：6278, Jul. 2021, [Reviewed]
  English, Scientific journal
  DOI：https://doi.org/10.3390/app11146287
  DOI ID：10.3390/app11146287, ORCID：96831758
• Multi-View Visual Question Answering with Active Viewpoint Selection
  Yue Qiu; Yutaka Satoh; Ryota Suzuki; Kenji Iwata; Hirokatsu Kataoka
  Sensors, Volume：20, Number：8, First page：2281, Last page：2281, Apr. 2020, [Reviewed]
  This paper proposes a framework that allows the observation of a scene iteratively to answer a given question about the scene. Conventional visual question answering (VQA) methods are designed to answer given questions based on single-view images. However, in real-world applications, such as human–robot interaction (HRI), in which camera angles and occluded scenes must be considered, answering questions based on single-view images might be difficult. Since HRI applications make it possible to observe a scene from multiple viewpoints, it is reasonable to discuss the VQA task in multi-view settings. In addition, because it is usually challenging to observe a scene from arbitrary viewpoints, we designed a framework that allows the observation of a scene actively until the necessary scene information to answer a given question is obtained. The proposed framework achieves comparable performance to a state-of-the-art method in question answering and simultaneously decreases the number of required observation viewpoints by a significant margin. Additionally, we found our framework plausibly learned to choose better viewpoints for answering questions, lowering the required number of camera movements. Moreover, we built a multi-view VQA dataset based on real images. The proposed framework shows high accuracy (94.01%) for the unseen real image dataset.
  MDPI AG, English, Scientific journal
  DOI：https://doi.org/10.3390/s20082281
  DOI ID：10.3390/s20082281, eISSN：1424-8220, ORCID：72556024
• Qualification and Quantification on Viewpoint Biases in Large Scale Image Datasets for General Object Recognition　　　　　　　　　　　　　　　
  Yue QIU; Yutaka SATOH; Ryota SUZUKI; Hirokatsu KATAOKA; Kenji IWATA
  Journal of the Japan Society for Precision Engineering, Volume：85, Number：12, First page：1087, Last page：1093, Dec. 2019, [Reviewed]
  Japan Society for Precision Engineering, Japanese, Scientific journal
  DOI：https://doi.org/10.2493/jjspe.85.1087
  DOI ID：10.2493/jjspe.85.1087, ISSN：0912-0289, eISSN：1882-675X, J-Global ID：202002282241873418
• Voting-based Object Recognition with 3-Dimensional Confidence Map from Multiple Viewpoints　　　　　　　　　　　　　　　
  Yue QIU; Yutaka SATOH; Ryota SUZUKI; Hirokatsu KATAOKA
  Journal of the Japan Society for Precision Engineering, Volume：83, Number：12, First page：1125, Last page：1130, Dec. 2017, [Reviewed]
  Japan Society for Precision Engineering, Japanese, Scientific journal
  DOI：https://doi.org/10.2493/jjspe.83.1125
  DOI ID：10.2493/jjspe.83.1125, ISSN：0912-0289, eISSN：1882-675X, J-Global ID：201802273349422886
• Maintaining Formation of Multiple Robotic Wheelchairs for Smooth Communication　　　　　　　　　　　　　　　
  Ryota Suzuki; Yoshinori Kobayashi; Yoshinori Kuno; Taichi Yamada; Keiichi Yamazaki; Akiko Yamazaki
  International Journal on Artificial Intelligence Tools, Volume：25, Number：05, First page：1640005, Last page：1640005, Sep. 2016, [Reviewed], [Lead, Corresponding]
  To meet the demands of an aging society, research on intelligent/robotic wheelchairs have been receiving a lot of attention. In elderly care facilities, care workers are required to communicate with the elderly in order to maintain both their mental and physical health. While this is regarded as important, having a conversation with someone on a wheelchair while pushing it from behind in a traditional setting would interfere with their smooth and natural conversation. So we are developing a robotic wheelchair system which allows companions and wheelchair users to move in a natural formation. This paper reports on an investigation to learn the patterns of human behavior when the wheelchair users and their companions communicate while walking together. The ethnographic observation reveals a natural formation of positioning for both companions and wheelchair users. Based on this investigation, we propose a multiple robotic wheelchair system which can maintain desirable formations for communication between wheelchairs.
  World Scientific Pub Co Pte Lt, English, Scientific journal
  DOI：https://doi.org/10.1142/s0218213016400054
  DOI ID：10.1142/s0218213016400054, ISSN：0218-2130, eISSN：1793-6349, Web of Science ID：WOS:000384410200006
• Terrain Recognition for Smart Wheelchair　　　　　　　　　　　　　　　
  Shamim Al Mamun; Ryota Suzuki; Antony Lam; Yoshinori Kobayashi; Yoshinori Kuno
  INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2016, PT III, Volume：9773, First page：461, Last page：470, Jul. 2016, [Reviewed]
  Research interest in robotic wheelchairs is driven in part by their potential for improving the independence and quality-of-life of persons with disabilities and the elderly. However the large majority of research to date has focused on indoor operations. In this paper, we aim to develop a smart wheelchair robot system that moves independently in outdoor terrain smoothly. To achive this, we propose a robotic wheelchair system that is able to classify the type of outdoor terrain according to their roughness for the comfort of the user and also control the wheelchair movements to avoid drop-off and watery areas on the road. An artificial neural network based classifier is constructed to classify the patterns and features extracted from the Laser Range Sensor (LRS) intensity and distance data. The overall classification accuracy is 97.24 % using extracted features from the intensity and distance data. These classification results can in turn be used to control the motor of the smart wheelchair.
  SPRINGER INTERNATIONAL PUBLISHING AG, English, International conference proceedings
  DOI：https://doi.org/10.1007/978-3-319-42297-8_43
  DOI ID：10.1007/978-3-319-42297-8_43, ISSN：0302-9743, eISSN：1611-3349, Web of Science ID：WOS:000387430500043
• Formations for Facilitating Communication Among Robotic Wheelchair Users and Companions　　　　　　　　　　　　　　　
  Yoshinori Kobayashi; Ryota Suzuki; Taichi Yamada; Yoshinori Kuno; Keiichi Yamazaki; Akiko Yamazaki
  SOCIAL ROBOTICS (ICSR 2015), Volume：9388, First page：370, Last page：379, Oct. 2015, [Reviewed]
  To meet the demands of an aging society, researches for intelligent/robotic wheelchairs have been receiving a lot of attention. In elderly care facilities, care workers are required to have a communication with the elderly in order to maintain their both mental and physical health. While this is regarded as important, a conversation with someone on a wheelchair while pushing it from his/her behind in a traditional setting would interfere with their smooth and natural conversation. Based on these concerns we are developing a robotic wheelchair which allows companions and wheelchair users move in a natural formation. This paper reports on an investigation how human behaves when the wheelchair users and their companions communicate while moving together.
  SPRINGER-VERLAG BERLIN, English, International conference proceedings
  DOI：https://doi.org/10.1007/978-3-319-25554-5_37
  DOI ID：10.1007/978-3-319-25554-5_37, ISSN：0302-9743, eISSN：1611-3349, Web of Science ID：WOS:000367711000037
• Robotic Wheelchair System Allowing Group Communication among Multiple Wheelchair Users and Companions　　　　　　　　　　　　　　　
  鈴木亮太; 新井雅也; 佐藤慶尚; 山田大地; 小林貴訓; 小林貴訓; 久野義徳; 宮澤怜; 福島三穂子; 山崎敬一; 山崎晶子
  The Transactions of the Institute of Electronics. Information and Communication Engineers. A, Volume：J98-A, Number：1, First page：51, Last page：62, Mar. 2015, [Reviewed], [Lead, Corresponding]
  Japanese, Scientific journal
  ISSN：1881-0195, J-Global ID：201502280860970300
• Multiple Robotic Wheelchair System Considering Group Communication　　　　　　　　　　　　　　　
  Ryota Suzuki; Taichi Yamada; Masaya Arai; Yoshihisa Sato; Yoshinori Kobayashi; Yoshinori Kuno
  Lecture Notes in Computer Science, First page：805, Last page：814, Dec. 2014, [Reviewed], [Lead, Corresponding]
  Springer International Publishing, English, In book
  DOI：https://doi.org/10.1007/978-3-319-14249-4_77
  DOI ID：10.1007/978-3-319-14249-4_77, ISSN：0302-9743, eISSN：1611-3349, Web of Science ID：WOS:000354694000077
• Robotic wheelchair moving with multiple companions　　　　　　　　　　　　　　　
  Masaya Arai; Yoshihisa Sato; Ryota Suzuki; Yoshinori Kobayashi; Yoshinori Kuno; Satoshi Miyazawa; Mihoko Fukushima; Keiichi Yamazaki; Akiko Yamazaki
  The 23rd IEEE International Symposium on Robot and Human Interactive Communication, First page：513, Last page：518, Aug. 2014, [Reviewed]
  IEEE, English, International conference proceedings
  DOI：https://doi.org/10.1109/roman.2014.6926304
  DOI ID：10.1109/roman.2014.6926304, ISSN：1944-9445, Web of Science ID：WOS:000366603200084
• Multiple Robotic Wheelchair System Able to Move with a Companion Using Map Information　　　　　　　　　　　　　　　
  Yoshihisa Sato; Ryota Suzuki; Masaya Arai; Yoshinori Kobayashi; Yoshinori Kuno; Mihoko Fukushima; Keiichi Yamazaki; Akiko Yamazaki
  HRI'14: PROCEEDINGS OF THE 2014 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, First page：286, Last page：287, Mar. 2014, [Reviewed]
  In order to reduce the burden of caregivers facing an increased demand for care, particularly for the elderly, we developed a system whereby multiple robotic wheelchairs can automatically move alongside a companion. This enables a small number of people to assist a substantially larger number of wheelchair users effectively. This system utilizes an environmental map and an estimation of position to accurately identify the positional relations among the caregiver (or a companion) and each wheelchair. The wheelchairs are consequently able to follow along even if the caregiver cannot be directly recognized. Moreover, the system is able to establish and maintain appropriate positional relations.
  IEEE, English, International conference proceedings
  DOI：https://doi.org/10.1145/2559636.2563694
  DOI ID：10.1145/2559636.2563694, ISSN：2167-2121, eISSN：2167-2148, Web of Science ID：WOS:000455229400115
• Robotic wheelchair with omni-directional vision for moving alongside a caregiver　　　　　　　　　　　　　　　
  Yoshinori Kobayashi; Ryota Suzuki; Yoshinori Kuno
  IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, First page：4177, Last page：4182, Oct. 2012, [Reviewed]
  IEEE, English, International conference proceedings
  DOI：https://doi.org/10.1109/iecon.2012.6389220
  DOI ID：10.1109/iecon.2012.6389220, ISSN：1553-572X, Web of Science ID：WOS:000316962904023

• 機械学習の可能性
  浮田, 浩行; 濱上, 知樹; 藤吉, 弘亘; 大町, 真一郎; 戸田, 智基; 岩崎, 敦; 小林, 泰介; 鈴木, 亮太; 木村, 雄喜; 橋本, 大樹; 玉垣, 勇樹; 水谷, 麻紀子; 永田, 毅; 木村, 光成; 李, 晃伸; 川嶋, 宏彰
  Jan. 2023
  Japanese, Total pages：xii, 222p
  CiNii Books：http://ci.nii.ac.jp/ncid/BD00239157
  ISBN：9784339033854, CiNii Books ID：BD00239157

• 対話的ナビゲーションの高度化に向けたロボット車いす搭乗者の注目領域推定　　　　　　　　　　　　　　　
  伊藤大登; 鈴木亮太; 小林貴訓
  Mar. 2025
  Oral presentation
• 発話を促す対話ロボットのためのマルチモーダル感情推定　　　　　　　　　　　　　　　
  池田裕貴; 鈴木亮太; 小林貴訓
  Mar. 2025
  Oral presentation
• コンサート演出への応用に向けた群鑑賞行動認識　　　　　　　　　　　　　　　
  野呂広人; 鈴木亮太; 小林貴訓
  Mar. 2025
  Oral presentation
• 食事中のロボットの話しかけタイミングの調整のための非接触型咀嚼認識　　　　　　　　　　　　　　　
  木村俊樹; 鈴木亮太; 小林貴訓
  Mar. 2025
  Oral presentation
• Autonomous Wheelchair Following Traffic Guard's Instruction Based on Action Recognition　　　　　　　　　　　　　　　
  F. Yang; R. Suzuki; Y. Kobayashi
  Mar. 2025
  Poster presentation
• 没入型VR体験と現実世界を繋ぐエージェントロボット　　　　　　　　　　　　　　　
  小野寺浩気; 鈴木亮太; 小林貴訓
  Mar. 2025
  Poster presentation
• 2D-LiDARによる足元計測に基づくByteTrackを用いた歩行者追跡　　　　　　　　　　　　　　　
  廣中優平; 鈴木亮太; 小林貴訓
  Jun. 2024
  Poster presentation
• 収穫支援ロボットのための自動追従・運搬機能の開発　　　　　　　　　　　　　　　
  青木一航; 鈴木亮太; 小林貴訓
  May 2024
  Poster presentation
• Autonomous Mobile Robot for Interactive Factory Guide Tour　　　　　　　　　　　　　　　
  篠昂征; 鈴木亮太; 小林貴訓
  電子情報通信学会大会講演論文集(CD-ROM), 2023
  2023 - 2023
• モニターテストにおける製品使用時のポジティブ・ネガティブ感情推定　　　　　　　　　　　　　　　
  瀧建人; 鈴木亮太; 小林貴訓
  2023
  2023 - 2023
• Whole Body Skeleton Estimation Based on Legs Motion Measurement Using 2D-LiDAR　　　　　　　　　　　　　　　
  須田悠介; 鈴木亮太; 小林貴訓
  電子情報通信学会大会講演論文集(CD-ROM), 2023
  2023 - 2023
• Performance Visualization Based on Video Analysis for Wheelchair Basketball Players　　　　　　　　　　　　　　　
  土屋直紀; 鈴木亮太; 小林貴訓; 久野義徳; 福田悠人; 信太奈美; 杉山真理; 半田隆志; 森田智之
  電子情報通信学会大会講演論文集(CD-ROM), 2023
  2023 - 2023
• Image Generation Based on User’s Utterance for Human-Robot Interaction　　　　　　　　　　　　　　　
  福田悠人; 鈴木亮太; 小林貴訓
  電子情報通信学会大会講演論文集(CD-ROM), 2023
  2023 - 2023
• Multi-view Fractal DataBase: Multi-view Image Dataset Generation based on Fractal Geometry　　　　　　　　　　　　　　　
  山田亮佑; 中村明生; 鈴木亮太; 片岡裕雄
  画像ラボ, 2022
  2022 - 2022
• Neural Radiance Fieldsの動画像への適用及び人物行動認識への応用に関する検討　　　　　　　　　　　　　　　
  小林三将; 原健翔; 鈴木亮太; 佐藤雄隆; 佐藤雄隆
  2022
  2022 - 2022
• 3Dオブジェクトの事前学習による画像認識モデルの視点バイアスの改善　　　　　　　　　　　　　　　
  海老澤颯; 鈴木亮太; QIU Yue; 片岡裕雄; 佐藤雄隆
  2021
  2021 - 2021
• 自然の形成原理に基づく3D姿勢ラベル付き多視点画像自動生成　　　　　　　　　　　　　　　
  山田亮佑; 山田亮佑; 鈴木亮太; 中村明生; 片岡裕雄
  2020
  2020 - 2020
• SfMおよび深層学習を用いた動画像の視野拡張およびその評価　　　　　　　　　　　　　　　
  浅野一真; 浅野一真; 鈴木亮太; 佐藤雄隆; 佐藤雄隆; 片岡裕雄
  2019
  2019 - 2019
• 視覚効果によるパーソナルモビリティの誘導　　　　　　　　　　　　　　　
  泉田駿; 鈴木亮太; 福田悠人; 小林貴訓; 久野義徳
  2018
  2018 - 2018
• 一般物体認識用大規模画像データセットにおける視点依存性に関する考察および定量化　　　　　　　　　　　　　　　
  YUE Qiu; YUE Qiu; 佐藤雄隆; 佐藤雄隆; 鈴木亮太; 片岡裕雄
  2018
  2018 - 2018
• 透視投影リフォーカスを用いた圃場環境における人物検出　　　　　　　　　　　　　　　
  岩田健司; 鈴木亮太; 片岡裕雄; 佐藤雄隆; 佐藤雄隆
  2018
  2018 - 2018
• 物理演算に基づく屋内空間地震三次元ハザードマップの生成　　　　　　　　　　　　　　　
  飯樋遼輝; 飯樋遼輝; 鈴木亮太; YUE QIU; YUE QIU; 佐藤雄隆; 佐藤雄隆
  2018
  2018 - 2018
• Vision and Language for Automatic Paper Summary Generation　　　　　　　　　　　　　　　
  山本晋太郎; 福原吉博; 鈴木亮太; 片岡裕雄; 森島繁生
  電子情報通信学会技術研究報告, 2018
  2018 - 2018
• スマートフォン搭載センサを用いた歩行者同定　　　　　　　　　　　　　　　
  遠藤文人; 鈴木亮太; 福田悠人; 小林貴訓; 久野義徳
  2017
  2017 - 2017
• 位置情報に基づくサービスを提供する自律移動ショッピングカート　　　　　　　　　　　　　　　
  山崎誠治; 高橋秀和; 鈴木亮太; 山田大地; 福田悠人; 小林貴訓; 久野義徳
  2017
  2017 - 2017
• 弱教師付き学習による都市の文化性抽出　　　　　　　　　　　　　　　
  鈴木哲平; 鈴木哲平; 阿部香織; 阿部香織; 鈴木智之; 鈴木亮太; 片岡裕雄
  2017
  2017 - 2017
• ディープラーニングのフレームワークの調査　　　　　　　　　　　　　　　
  鈴木亮太; 歌田夢香; 大津耕陽; 細原大輔
  2017
  2017 - 2017
• 美術館来訪者の興味度の推定に向けた移動行動の分析　　　　　　　　　　　　　　　
  米澤拓也; 鈴木亮太; RASHED Md. Golam; 小林貴訓; 久野義徳
  2016
  2016 - 2016
• 慣性計測センサを用いたロボット車椅子ユーザの暴れと立ち上がり検知　　　　　　　　　　　　　　　
  横倉拓朗; 鈴木亮太; 小林貴訓; 久野義徳
  2016
  2016 - 2016
• テレビ電話を介した視聴覚情報によるロボットの遠隔操作　　　　　　　　　　　　　　　
  水村育美; 鈴木亮太; 小林貴訓; 久野義徳
  2016
  2016 - 2016
• Robotic Wheelchair Moving Alongside a Companion with BLE Smart Phone　　　　　　　　　　　　　　　
  関根凌太; 高橋秀和; 鈴木亮太; 福田悠人; 小林貴訓; 久野義徳; 山崎敬一; 山崎晶子
  電子情報通信学会技術研究報告, 2016
  2016 - 2016
• 電磁場変動センサを応用したロボット車椅子の試作　　　　　　　　　　　　　　　
  小玉亮; 鈴木亮太; 小林貴訓; 梶本裕之
  2016
  2016 - 2016
• 全方位カメラ画像からの継続的な人物追跡手法の提案　　　　　　　　　　　　　　　
  松藤彰宏; 鈴木亮太; 本田秀明; 山本昇志; 小林貴訓
  2015
  2015 - 2015
• 同伴者と協調移動する複数ロボット車椅子システム　　　　　　　　　　　　　　　
  佐藤慶尚; 鈴木亮太; 山田大地; 小林貴訓; 小林貴訓; 久野義徳
  2014
  2014 - 2014
• Robotic Wheelchair Moving Alongside a Companion　　　　　　　　　　　　　　　
  Ryota Suzuki; Yoshihisa Sato; Yoshinori Kobayashi; Yoshinori Kuno; Keiichi Yamazaki; Masaya Arai; Akiko Yamazaki
  ACM/IEEE International Conference on Human-Robot Interaction (HRI'13), Mar. 2013
  English, Poster presentation
• Robotic Wheelchair Moving Along Companions Based on Observations of Bodily Behaviors　　　　　　　　　　　　　　　
  小林貴訓; 小林貴訓; 高野恵利衣; 金原悠貴; 鈴木亮太; 久野義徳; 小池智哉; 山崎晶子; 山崎敬一
  情報処理学会論文誌ジャーナル(CD-ROM), 2012
  2012 - 2012
• 介護者に併走するロボット車椅子のためのタッチパネルインタフェース　　　　　　　　　　　　　　　
  鈴木亮太; 小林貴訓; 小林貴訓; 久野義徳
  2012
  2012 - 2012
• 全方位カメラによる周辺情報を用いたロボット車椅子の開発　　　　　　　　　　　　　　　
  鈴木亮太; 高野恵利衣; 宗像信聡; 小林貴訓; 小林貴訓; 久野義徳
  2012
  2012 - 2012

• Mar. 2011 - Present

• Practical Foundation of Low and Medical Care: Ethnomethodology of Embodiment and Social Norm　　　　　　　　　　　　　　　
  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (A), 01 Apr. 2024 - 31 Mar. 2028
  Saitama University
  Grant amount(Total)：47970000, Direct funding：36900000, Indirect funding：11070000
  Grant number：24H00151
• Enhancing User Experience with Partner Robot　　　　　　　　　　　　　　　
  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Early-Career Scientists, 01 Apr. 2023 - 31 Mar. 2028
  Saitama University
  Grant amount(Total)：4810000, Direct funding：3700000, Indirect funding：1110000
  Grant number：23K13286
• International comparative studies of medical care and daily activities using remote technology among super-aging societies.　　　　　　　　　　　　　　　
  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Fund for the Promotion of Joint International Research (International Collaborative Research), 08 Sep. 2023 - 31 Mar. 2026
  Saitama University
  Grant amount(Total)：21060000, Direct funding：16200000, Indirect funding：4860000
  Grant number：23KK0032