2024年

Journal Paper(査読有)

  1. Takumi Kotooka, Sam Lilak, Adam Z. Stieg, James K. Gimzewski, Naoyuki Sugiyama, Yuichiro Tanaka, Takuya Kawabata, Ahmet Karacali, Hakaru Tamukoh, Yuki Usami, Hirofumi Tanaka,”Thermally Stable Ag2Se Nanowire Network as an Effective In-Materio Physical Reservoir Computing Device,” Advanced Electronic Materials, Vol. 10, No. 12, 2024.   
  2. Shoshi Tokuno,Kouki Kimizuka,Yuichiro Tanaka,Yuki Usami,Hirofumi Tanaka, Hakaru Tamukoh,”Object recognition and grasping point detection using carbon nanotube – polydimethylsiloxane nanocomposite sensor,” NOLTA, IEICE, Vol. 15, No. 4, pp. 883-898, 2024.   
  3. Yuka Shishido,Osamu Nomura,Katsumi Tateno,Hakaru Tamukoh,Takashi Morie,”An efficient spatial representation scheme for memory-based hippocampus-inspired model with VLSI implementation,” NOLTA, IEICE, Vol. 15, No. 4, pp. 785-795, 2024.   
  4. Kosei YamaoHakaru Tamukoh,Ryosuke Kubota, “An Improvement of Pose Recognition System Considering Influence of Lighting Environment, ” ICIC Express Letters,Vol. 15,No. 9,pp. 883-888, 2024.   
  5. 福田 有輝也三井 悠也矢野 優雅,岩井 秀成,井上 慎太郎,田向 権,”極限環境に向けた占有格子地図に基づく走行可能性推定,” 自動車技術会論文集,Vol. 55,No. 4,pp. 733-738, 2024.
  6. Yuichiro Tanaka and Hakaru Tamukoh,“Reservoir-based 1D convolution: low-training-cost AI,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E107-A, No. 6, 2024 (Accepted).
   

Conference Paper(査読有)

  1. Ryuta Toyoda, Ninnart Fuengfusin, and Hakaru Tamukoh, “Developing Spatio-Temporal-Mode Filter Circuit forEvent-based Vision Sensors,” The 8th International Conference on Advanced Mechatronics (ICAM 2024), FA3-5, Kitakyushu International Conference Center, Fukuoka, Nov. 5–7 (7), 2024.
  2. Kosei Isomoto, Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Osamu Nomura, and Takashi Morie, “A Hippocampus-Inspired System to Memorize Event Sequences for Autonomous Mobile Robots,” JSME The 8th International Conference on Advanced Mechatronics (ICAM 2024), FB1-6, Kitakyushu International Conference Center, Kitakyushu, Nov. 5–7 (7), 2024.
  3. Kazuma Sakakibara, Yuga Yano, Yukiya Fukuda, and Hakaru Tamukoh, “Evaluation of Lane Detection Using a Dataset Specific to Missing Lane Scenarios,” JSME The 8th International Conference on Advanced Mechatronics, (ICAM 2024) TC2-2, Kitakyushu International Conference Cente, Kitakyushu, Nov. 5–7 (6), 2024.
  4. Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Osamu Nomura, and Katsumi Tateno and Takashi Morie, “A Brain-Inspired Environment-Specific Knowledge System with Common Knowledge from Large Language Model for Home Service Robots,” JSME The 8th International Conference on Advanced Mechatronics (ICAM 2024), TC1-4, Kitakyushu International Conference Center, Kitakyushu, Nov. 5–7 (6), 2024.
  5. Yuichiro Tanaka, and Hakaru Tamukoh, “A Preliminary Study toward Reinforcement Learning of Multiple Continual Tasks based on Reservoir Computing,” JSME The 8th International Conference on Advanced Mechatronics (ICAM 2024), TC1-6, Kitakyushu International Conference Center, Kitakyushu, Nov. 5–7 (6), 2024.
  6. Kosei Yamao, Daiju Kanaoka, Kosei Isomoto, and Hakaru Tamukoh, “Task Planning System for Home Service Robots Capable of Commands Containing Abstract Nouns,” JSME The 8th International Conference on Advanced Mechatronics (ICAM 2024), TB1-5, Kitakyushu International Conference Center, Kitakyushu, Nov. 5–7 (6), 2024.
  7. Yuga Yano, Akinobu Mizutani, Yukiya Fukuda, Daiju Kanaoka, Tomohiro Ono, Hakaru Tamukoh, “Unified Understanding of Environment, Task, and Human for Human-Robot Interaction in Real-World Environments,” The 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2024), Pasadena Convention Center, Pasadena, California, USA, August 26-30(27), 2024
  8. Ryuta Toyoda, Ninnart Fuengfusin, Hakaru Tamukoh, “FPGA Implementation of Spatial-Temporal-Majority Filter for Event-based Vision Sensor,” The 10th Taiwan and Japan Conference on Circuits and Systems (TJCAS 2024),P1-10, Kumamoto University, Kumamoto, Japan, August 23-25 (24), 2024
  9. Shigeki Matsumoto, Yuki Ichikawa, Nobuki Kajihara, Hakaru Tamukoh,”FPGA Implementation for Large Scale Reservoir Computing Based on Chaotic Boltzmann Machine,” IEEE International Symposium on Cirucuits and Systems (ISCAS2024),PaperID 2164, Resorts World Convention Centre, Singapore, May 19-22 (21), 2024
  10. Yuka Shishido, Osamu Nomura, Katsumi Tateno, Hakaru Tamukoh and Takashi Morie, “CMOS Digital-Analog Mixed Signal VLSI Implementation of a Hippocampus-Inspired Model”, International Joint Conference on Neural Networks (IJCNN 2024), Pacifico Yokohama, Yokohama, Japan, June 30 – July 5 (July 5), 2024
  11. Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Osamu Nomura, Katsumi Tateno and Takashi Morie,“A Hippocampus-Inspired Environment-Specific Knowledge Acquisition System Utilizing Common Knowledge with Contextual Information,” International Joint Conference on Neural Networks (IJCNN 2024), Pacifico Yokohama, Japan, June 30 – July 5(July 2), 2024
  12. Arie Rachmad Syulistyo, Yuichiro Tanaka, Hakaru Tamukoh, “Recognizing Nursing Activities in Endotracheal Suction: Utilizing Multiple Readouts Reservoir Computing and Large Language Models,” 6th International Conference on Activity and Behavior Computing (ABC 2024), Nakatsu and Kitakyushu, Japan, May 28-31 (31), 2024
  13. Soshi Hirayae, Kanta Yoshioka, Atsuki Yokota, Ichiro Kawashima, Yuichro Tanaka, Yuichi Katori, Osamu Nomura, Takashi Morie and Hakaru Tamukoh,”Enhancing Memory Capacity of Reservoir Computing with Delayed Input and Efficient Hardware Implementation with Shift Registers,” IEEE International Symposium on Cirucuits and Systems (ISCAS2024),PaperID 2236, Resorts World Convention Centre, Singapore, May 19-22 (22), 2024
  14. Ninnart Fuengfusin, Hakaru Tamukoh, Osamu Nomura and Takashi Morie, “Robust Binary Encoding for Ternary Neural Networks Toward Deployment on Emerging Memory,” International Joint Conference on Neural Networks (IJCNN2024), Yokohama, Japan, June 30 – July 5, 2024 (Accepted).
  15. Kosei Yamao,Daiju Kanaoka,Kosei Isomoto, and Hakaru Tamukoh, “A General Purpose Service Robot System Capable of Handling Commands Containing Abstract Nouns,” 2024 IEEE International Conference on Robotics and Automation (ICRA 2024) as Late Breaking Results Poster, Kanagawa, Japan, May 13-17 (16), ThBL-EX.11, 2024.
  16. Naoki Yamaguchi, Kosei Isomoto, Tomoya Shiba, Hakaru Tamukoh, “Grounding DINO Fine-tuning using Images Generated by 3D Dataset Generator,” The 5th International Symposium on Neuromorphic AI Hardware, P2-27, Kitakyushu, Japan, March 1-2 (2), 2024.
  17. Kosei Yamao, Daiju Kanaoka, Kosei Isomoto, Hakaru Tamukoh, “Visual Prompting to Interpret Object Locations for Service Robots,” The 5th International Symposium on Neuromorphic AI Hardware, P2-26, Kitakyushu, Japan, March 1-2 (2), 2024.
  18. Shoshi Tokuno, Kouki Kimizuka, Yuichiro Tanaka, Hirofumi Tanaka, Hakaru Tamukoh, “A Preliminary Study of Anomaly Detection of Object Grasping Points Using CNT-PDMS Nanocomposite Sensor,” The 5th International Symposium on Neuromorphic AI Hardware, P2-22, Kitakyushu, Japan, March 1-2 (2), 2024.
  19. Arie Rachmad Syulistyo, Yuichiro Tanaka, Hakaru Tamukoh, “American Sign Language Recognition by Reservoir Computing with a Combination of Multi-reservoir and Self-organizing Multi-readout,” The 5th International Symposium on Neuromorphic AI Hardware, P2-21, Kitakyushu, Japan, March 1-2 (2), 2024.
  20. Naoki Miyamura, Hakaru Tamukoh, “Hammering test system using Reservoir Computing,” The 5th International Symposium on Neuromorphic AI Hardware, P2-20, Kitakyushu, Japan, March 1-2 (2), 2024.
  21. Atsuki Yokota, Ichiro Kawashima, Hakaru Tamukoh, Osamu Nomura, Takashi Morie, “Performance Evaluation of Techniques for Enhancing Memory Capacity of Reservoir Computing,” The 5th International Symposium on Neuromorphic AI Hardware, P2-15, Kitakyushu, Japan, March 1-2 (2), 2024.
  22. Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Osamu Nomura, Takashi Morie, “A Brain-Inspired Artificial Intelligence Model to Acquire Positive and Negative Episodes with Hippocampal Replay Function,” The 5th International Symposium on Neuromorphic AI Hardware, P2-14, Kitakyushu, Japan, March 1-2 (2), 2024.
  23. Kazuhiro Hiratsuka, Hakaru Tamukoh, “Detecting operating status of factory automation machines using reservoir computing,” The 5th International Symposium on Neuromorphic AI Hardware, P2-13, Kitakyushu, Japan, March 1-2 (2), 2024.
  24. Ryuta Toyoda, Sansei Hori, Hakaru Tamukoh, “High Sensitivity Motion Capture Under Low-light Conditions Using EVS,” The 5th International Symposium on Neuromorphic AI Hardware, P2-11, Kitakyushu, Japan, March 1-2 (2), 2024. Student Presentation Award
  25. Kazuma Sakakibara, Yuga Yano, Yukiya Fukuda, Hakaru Tamukoh, “Evaluation of Lane Detection Based on Missing Lane-Specific Dataset,” The 5th International Symposium on Neuromorphic AI Hardware, P1-26, Kitakyushu, Japan, March 1-2 (2), 2024.
  26. Kosei Isomoto, Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Osamu Nomura, Takashi Morie, “Application of a Hippocampus-inspired Model toward Episodic Memory-based Navigation for Autonomous Mobile Robots,” The 5th International Symposium on Neuromorphic AI Hardware, P1-25, Kitakyushu, Japan, March 1-2 (2), 2024.
  27. Hiromasa Yamaguchi, Akinobu Mizutani, Arie Rachmad Syulistyo, Yuichiro Tanaka, Hakaru Tamukoh, “Integration of Cropped Image and Skeleton Information for Hand Waving Recognition by Reservoir Computing,” The 5th International Symposium on Neuromorphic AI Hardware, P1-24, Kitakyushu, Japan, March 1-2 (2), 2024.
  28. Kazuo Nakahara, Osamu Nomura, Hakaru Tamukoh, Yuichi Katori, Takashi Morie, “Analysis of Modular Reservoir Computing Using Chaotic Boltzmann Machines,” The 5th International Symposium on Neuromorphic AI Hardware, P1-21, Kitakyushu, Japan, March 1-2 (2), 2024.
  29. Yuka Shishido, Osamu Nomura, Katsumi Tateno, Hakaru Tamukoh, Takashi Morie, “An Efficient Spatial Representation Method for Memory-based Hippocampus-inspired Model,” The 5th International Symposium on Neuromorphic AI Hardware, P1-19, Kitakyushu, Japan, March 1-2 (2), 2024. Student Presentation Award
  30. Sansei Hori, Kazumichi Tanaka, Keiichi Nakanishi, Terumasa Tokunaga, “Evaluation of feature extractor trained by grayscale images for industrial anomaly detection,” The 5th International Symposium on Neuromorphic AI Hardware, P1-17, Kitakyushu, Japan, March 1-2 (2), 2024.
  31. Yuichiro Tanaka, Hakaru Tamukoh, “Reinforcement Learning of Two Continuous Tasks by Reservoir Computing with Multiple Readouts,” The 5th International Symposium on Neuromorphic AI Hardware, P1-15, Kitakyushu, Japan, March 1-2 (2), 2024.
  32. Tomoro Marcus Jones, Yuka Shishido, Osamu Nomura, Hakaru Tamukoh, Takashi Morie, “Improvement of Read-Out Circuit for Non-volatile Memory Embedded In-Memory Computing Architectures,” The 5th International Symposium on Neuromorphic AI Hardware, O3-02/P1-09, Kitakyushu, Japan, March 1-2 (2), 2024. Student Presentation Award
  33. Ninnart Fuengfusin and Hakaru Tamukoh,NaN Attacks: Bit-Flipping Deep Neural Network Parameters to NaN or Infinity, ” The 1st International Conference on Robotics, Engineering, Science, and Technology (RESTCON), Pattaya, Thailand, February 16-18(17), 2024.
  34. Tomoya Shiba, Hakaru Tamukoh, “RoboCup@Home 2023: Stickler for the Rules Task Solutions,” The 2024 International Conference on Artificial Life and Robotics (ICAROB2024), OS15-5, Oita, Japan, February 22-25 (23), 2024.
  35. Kosei Yamao, Daiju Kanaoka, Kosei Isomoto, Akinobu Mizutani, Yuichiro Tanaka, and Hakaru Tamukoh, “Development of a SayCan-based task planning system capable of handling abstract nouns,” The 2024 International Conference on Artificial Life and Robotics (ICAROB2024), OS15-4, Oita, Japan, February 22-25 (23), 2024.
  36. Naoki Yamaguchi, Tomoya Shiba, Kosei Isomoto and Hakaru Tamukoh, “A Rapidly Adjustable Object Recognition System through Language Based Prompt Engineering,” The 2024 International Conference on Artificial Life and Robotics (ICAROB2024), OS15-3, Oita, Japan, February 22-25 (23), 2024.
  37. Hiromasa Yamaguchi, Akinobu Mizutani, Arie Rachmad Syulistyo, Yuichiro Tanaka, Hakaru Tamukoh, “A Low Computational Cost Hand Waving Action Recognition System with Echo State Network for Home Service Robots,” The 2024 International Conference on Artificial Life and Robotics (ICAROB2024), OS15-2, Oita, Japan, February 22-25 (23), 2024.
  38. Dinda Pramanta, Ninnart Fuengfusin, Arie Rachmad Syulistyo, and Hakaru Tamukoh, “YOLO real-time object detection on EV3-Robot using FPGA hardware Accelerator,” The 2024 International Conference on Artificial Life and Robotics (ICAROB2024), OS15-1, Oita, Japan, February 22-25 (23), 2024.
  39. Shoshi Tokuno, Kouki Kimizuka, Yuichiro Tanaka, Hirofumi Tanaka, Hakaru Tamukoh, “Object recognition using CNT-PDMS nanocomposite sensor on a robot hand,” The 22nd International Symposium on Eco-materials Processing and Design (ISEPD2024), S8-O8, Thailand, January 21-24 (22), 2024.
 

国内研究会報告・国際ワークショップ等(査読無)

  1. 山尾晃世金岡大樹磯本航世田向権, “視覚-言語モデルと物体検出モデルによるサービスロボットのための物体の位置関係理解,”電子情報通信学会スマートインフォメディアシステム研究会(SIS),2024年10月3–4日(3),北海道,北星学園大学,ハイブリット開催.
  2. 水谷彰伸田中悠一朗田向権,立野勝巳,森江隆,“記憶読み出しの頻度を考慮したホームサービスロボット向けエピソード記憶システム,”第34 回 日本神経回路学会 全国大会(JNNS2024),札幌,北海道大学,2024年9月11–13(12)日,P2-37.
  3. 松嶋 達也,髙波 亮介, 神原 元就,野口 裕貴,有馬 純平,池田 悠也,柳田 栞吾,岩田 健輔,長谷川 翔一,エル ハフィ ロトフィ,山尾 晃世磯本 航世山口 直紀小林 遼平柴 智也矢野 優雅水谷 彰伸田向 権,堀井 隆斗,杉浦 孔明,谷口 忠大,松尾 豊,岩澤 有祐,”HSRT-X: コミュニティを活用したロボット基盤モデルの構築”,”第42回日本ロボット学会学術講演会(RSJ),1D2-01,2024年9月3-6日(4),大阪,大阪工業大学.
  4. 小林 遼平,Luis Contreras,田向 権,岡田 浩之,”把持計画のための視覚情報を用いた変形度合認識手法,”第42回日本ロボット学会学術講演会(RSJ),1D5-01,2024年9月3-6日(4),大阪,大阪工業大学.
  5. 矢野 優雅小林 遼平金岡 大樹田向 権,”環境認識と骨格推定による家具の形状を考慮した指差し位置推定とPick-and-Place,”第42回日本ロボット学会学術講演会(RSJ),1D4-02,2024年9月3-6日(4),大阪,大阪工業大学.
  6. 山尾 晃世金岡 大樹磯本 航世田向 権,”多様な自然言語命令によるタスクの実現に向けた行動計画及び物体の位置関係理解,”第42回日本ロボット学会学術講演会(RSJ),1D2-05,2024年9月3-6日(4),大阪,大阪工業大学.
  7. 宍戸 優樺,”工学的応用に向けた海馬モデルの集積回路実装,”応用物理学会 トータルバイオミメティクス研究会主催 2024年度トータルバイオミメティクス研究会ワークショップ, 2024年8月19日,福岡,九州大学(招待講演).
  8. 水谷 彰伸,”海馬モデルに基づくサービスロボット,”応用物理学会 トータルバイオミメティクス研究会主催 2024年度トータルバイオミメティクス研究会ワークショップ, 2024年8月19日,福岡,九州大学(招待講演).
  9. 金岡 大樹*福田 有輝也*田向 権,”潜在拡散モデルによる画風の模倣を防ぐ敵対的摂動の高速生成,”画像の認識・理解シンポジウム(MIRU2024),IS-2-077,2024年8月6-9日(8),熊本,熊本城ホール.
  10. 水谷 彰伸田中 悠一朗田向 権,立野 勝巳,森江 隆,”記憶読み出しの頻度を考慮した脳型記憶システムのFPGA実装,”cross-disciplinary workshop on computing systems, infrastructures, and programming (xSIG), 2024年8月7-9日(7),徳島,あわぎんホール.
  11.  
  12. 鈴木 章央山口 直紀下田 瑞穂田向 権,“解析的な物体認識データセット開発手法の提案,” 電子情報通信学会スマートインフォメディアシステム研究会(SIS), 2024年3月14-15日(14),神奈川,神奈川工科大学,ハイブリット開催.
  13.     
  14. 横田 篤紀川島 一郎田向 権,野村 修,森江 隆,”リザバー計算の記憶容量増大手法の性能評価,” 第71回応用物理学会春季学術講演会,25p-31A-7,2024年3月22-25日(25),東京,東京都市大学世田谷キャンパス,ハイブリッド開催.
  15. 福田 有輝也*金岡 大樹*田向 権,“DnCNNを用いた生成AIに対する画像作品保護,” 電子情報通信学会パターン認識・メディア理解研究会(PRMU),PRMU2023-71,2024年3月3日-4日(4),広島,広島大学,ハイブリッド開催. PRMU月間ベストプレゼンテーション賞. *共同第一著者
  16. Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Osamu Nomura, and Takashi Morie, “A hippocampus-inspired memory model with an accumulation function through place representation planes for digital VLSI implementation,” The 12th RIEC International Symposium on Brain Functions and Brain Computer (BFBC 2024), P-21, Sendai, February 27-28 (27), 2024.
 

特許

  1. 櫻井直人,内田圭祐,桑原大幸,田向権藤野友彰,森江隆,田中悠一朗,出願人:国立大学法人九州工業大学,浜松ホトニクス株式会社,”イベント認識システム,ロボットシステム,イベント認識方法”,特願2024-150623(出願日:2024/9/2).
  2. 田中悠一朗,宇佐美雄生,田向権,田中啓文,出願人:九州工業大学,情報処理方法,情報処理装置,およびプログラム,特願2024-078568.
 

受賞

  1. Tam@Home, WRS Future Convenience Store Challenge in Cyber Space 1st Place, 15th May 2024, ICRA 2024 Competition in Yokohama, Japan.
  2. 磯本 航世山口 紘正,佐藤 光,NICT理事長賞,IOデータ賞,インフィニオン賞,NEDO賞,セプテーニグループ賞(パートナー企業特別賞),「”介護施設における業務サポートロボット:佐保”」,令和6年3月13日,令和5年度起業家甲子園
  3.     
  4. Yuki Usami, Bram van de Ven, Dilu G. Mathew, Tao Chen, Takumi Kotooka, Yuya Kawashima, Yuichiro Tanaka, Yoichi Otsuka, Hiroshi Ohoyama, Hakaru Tamukoh, Hirofumi Tanaka, Wilfred G. van der Wiel, and Takuya Matsumoto,第8回 応用物理学会 薄膜・表面物理分科会 論文賞,令和6年3月22日,公益社団法人 応用物理学会 薄膜・表面物理分科会.
 

講演等

  1. 田向権,“ホームサービスロボットの組込脳型人工知能を目指したレザバーチップ,”SNUG Japan 2024,2024年9月20日,グランドプリンスホテル新高輪 国際館パミール. EDA Express Synopsys SNUG Japan 2024 参加レポート
  2. 吉岡莞汰田向権“脳型計算機システムの理論からアプリ応用まで ~FPGA実装からASIC化への挑戦~”, Design Solution Forum 2024,2024年10月25日,神奈川,川崎市コンベンションホール.
  3. 田向 権,“ホームサービスロボットの組込脳型人工知能を目指したレザバーチップ,”SNUG Japan 2024,2024年9月20日,グランドプリンスホテル新高輪 国際館パミール.
  4. Hakaru Tamukoh, “Introduction to Intelligent Home Service Robots and RoboCup @Home Competition,” The 4th International Conference on Electrical and Information Technology (IEIT2024), Online, September 12, 2024. (Keynote Speech, Invited).
  5. 米澤 恵一朗,田向 権,”「九州・沖縄圏域スタートアップエコシステム(PARKS) の取組み」~成功事例・期待の事例/研究室・大学発スタートアップ~”, 一般社団法人 先端科学共創基盤機構 政策アクション会議, 2024年9月5日.
  6. 吉岡莞汰,”LUTNetのReservoir Computingへの応用”, fpgax #14,2024年7月12日,神奈川,TAI株式会社 本社.
  7. Hakaru Tamukoh, “Advancement of Home Service Robots through Robotics Competitions,” ICRA 2024 Forum on Enhancing Service Robots for Future Homes: Insights and Learnings, 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Kanagawa, Japan, May 13-17 (16), 2024. (Invited).
  8. 水谷 彰伸田中 悠一朗田向 権,立野 勝巳,野村 修,森江 隆,“大規模言語モデルと海馬モデルによる ホームサービスロボット向け知識獲得システム,” 電子情報通信学会スマートインフォメディアシステム研究会(SIS), 2024年3月14-15日(14),神奈川,神奈川工科大学.記念講演.
  9. Hakaru Tamukoh, “Hardware/Material Reservoir Computing for Home Service Robots,” The 22nd International Symposium on Eco-materials Processing and Design (ISEPD2024), KN-S8_Tamukoh, Thailand, January 21-24 (22), 2024.
  10. Yuichiro Tanaka, “Application of in-material reservoirs for edge computing: In-material-reservoir-based convolutional neural network,” The 22nd International Symposium on Eco-materials Processing and Design (ISEPD2024), INV-S8_O4 , Thailand, January 21-24 (22), 2024.
  11. 田向 権,“脳型計算機システムとホームサービスロボット,”第151回ロボット工学セミナー「脳型ハードウェア技術とそのロボット応用」,2024年1月11日,オンライン.

出前講義・セミナー・出展等

        
  1. Hiroyuki Okada, Luis Angel Contreras-Toledo, Akinobu Mizutani, Hakaru Tamukoh, Human Support Robot, ThE-EX.14.