Publications

Journals Articles

  1. N. Nishizuka, Y. Kubo, K. Sugiura, M. Den, M. Ishii, “Operational Solar Flare Prediction Model Using Deep Flare Net”, Earth, Planets and Space, to appear.
  2. T. Ogura, A. Magassouba, K. Sugiura, T. Hirakawa, T. Yamashita, H. Fujiyoshi, H. Kawai, “Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network”, IEEE Robotics and Automation Letters, Vol. 5, Issue 4, pp. 5945-5952, 2020.
    DOI 10.1109/LRA.2020.3010735
  3. N. Nishizuka, Y. Kubo, K. Sugiura, M. Den, M. Ishii, “Reliable Probability Prediction Model of Solar Flares: Deep Flare Net-Reliable (DeFN-R)”, The Astrophysical Journal, Vol. 899, No. 2, 150(8pp), 2020.
    DOI: 10.3847/1538-4357/aba2f2
  4. A. Magassouba, K. Sugiura, H. Kawai, “A Multimodal Target-Source Classifier with Attention Branches to Understand Ambiguous Instructions for Fetching Daily Objects”, IEEE Robotics and Automation Letters, Vol. 5, Issue 2, pp. 532-539, 2020.
    DOI 10.1109/LRA.2019.2963649
  5. A. Magassouba, K. Sugiura, A. Trinh Quoc, H. Kawai, “Understanding Natural Language Instructions for Fetching Daily Objects Using GAN-Based Multimodal Target-Source Classification”, IEEE Robotics and Automation Letters, Vol. 4, Issue 4, pp. 3884 – 3891, 2019.
    DOI 10.1109/LRA.2019.2926223
  6. A. Magassouba, K. Sugiura, H. Kawai, “A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions”, IEEE Robotics and Automation Letters, Vol. 3, Issue 4, pp. 3113-3120, 2018.
    DOI: 10.1109/LRA.2018.2849607 
  7. K. Sugiura, “SuMo-SS: Submodular Optimization Sensor Scattering for Deploying Sensor Networks by Drones”, IEEE Robotics and Automation Letters, Vol. 3, Issue 4, pp. 2963-2970, 2018.
    DOI: 10.1109/LRA.2018.2849604 
  8. N. Nishizuka, K. Sugiura, Y. Kubo, M. Den, and M. Ishii, “Deep Flare Net (DeFN) Model for Solar Flare Prediction”, The Astrophysical Journal, Vol. 858, Issue 2, 113 (8pp), 2018.
    DOI: 10.3847/1538-4357/aab9a7
  9. 奥川雅之, 伊藤暢浩, 岡田浩之, 植村渉, 高橋友一, 杉浦孔明, “ロボカップ西暦2050年を目指して”, 知能情報ファジィ学会誌, Vol. 29, No.2, pp. 42-54, 2017.
  10. T. Nose, Y. Arao, T. Kobayashi, K. Sugiura, and Y. Shiga, “Sentence Selection Based on Extended Entropy Using Phonetic and Prosodic Contexts for Statistical Parametric Speech Synthesis”, IEEE Transactions on Audio, Speech, and Language Processing, Vol. 25, Issue 5, pp. 1107-1116, 2017.
  11. N. Nishizuka, K. Sugiura, Y. Kubo, M. Den, S. Watari and M. Ishii, “Solar Flare Prediction Model with Three Machine-learning Algorithms using Ultraviolet Brightening and Vector Magnetogram”, The Astrophysical Journal, Vol. 835, Issue 2, 156 (10pp), 2017.
  12. S. Takeuchi, K. Sugiura, Y. Akahoshi, and K. Zettsu, “Spatio-Temporal Pseudo Relevance Feedback for Scientific Data Retrieval,” IEEJ Trans., Vol. 12, Issue 1, pp. 124-131, 2017.
  13. K. Lwin, K. Sugiura, and K. Zettsu, “Space-Time Multiple Regression Model for Grid-Based Population Estimation in Urban Areas,” International Journal of Geographical Information Science, Vol. 30, No. 8, pp. 1579-1593, 2016.
  14. 杉浦孔明, “模倣学習における確率ロボティクスの新展開”, システム制御情報学会誌, Vol. 60, No. 12, pp. 521-527, 2016.
  15. 杉浦孔明, “ロボットによる大規模言語学習に向けて -実世界知識の利活用とクラウドロボティクス基盤の構築-“, 計測と制御, Vol. 55, No. 10, pp. 884-889, 2016.
  16. 杉浦孔明, “ビッグデータの利活用によるロボットの音声コミュニケーション基盤構築”, 電子情報通信学会誌, Vol. 99, No. 6, pp. 500-504, 2016.
  17. B. T. Ong, K. Sugiura, and K. Zettsu, “Dynamically Pre-trained Deep Recurrent Neural Networks using Environmental Monitoring Data for Predicting PM2.5,” Neural Computing and Applications, Vol. 27, Issue 6, pp. 1553–1566, 2016.
  18. 杉浦孔明, “ロボカップ@ホーム: 人と共存するロボットのベンチマークテスト”, 人工知能, Vol. 31, No. 2, pp. 230-236, 2016.
  19. L. Iocchi, D. Holz, J. Ruiz-del-Solar, K. Sugiura, and T. van der Zant, “RoboCup@Home: Analysis and Results of Evolving Competitions for Domestic and Service Robots,” Artificial Intelligence, Vol. 229, pp. 258-281, 2015.
  20. K. Sugiura, Y. Shiga, H. Kawai, T. Misu and C. Hori, “A Cloud Robotics Approach towards Dialogue-Oriented Robot Speech,” Advanced Robotics, Vol. 29, Issue 7, pp. 449-456, 2015.
  21. 杉浦孔明, 岩橋直人, 芳賀麻誉美, 堀智織, “観光スポット推薦アプリ「京のおすすめ」を用いた長期実証実験”, 観光と情報, Vol. 10, No. 1, pp. 15-24, 2014.
  22. M. Dong, T. Kimata, K. Sugiura and K. Zettsu, “Quality-of-Experience (QoE) in Emerging Mobile Social Networks,” IEICE Transactions on Information and Systems, Vol.E97-D, No.10, pp. 2606-2612, 2014.
  23. 稲邑哲也, タンジェフリートゥチュアン, 萩原良信, 杉浦孔明, 長井隆行, 岡田浩之, “大規模長時間のインタラクションを可能にするロボカップ@ホームシミュレーションの構想とその基盤技術”, 日本知能情報ファジィ学会誌, Vol.26, No.3, pp. 698-709, 2014.
  24. 杉浦孔明, 長井隆行, “ロボカップ@ホームにおける日用品マニピュレーション”, 日本ロボット学会誌, Vol. 31, No. 4, pp. 370-375, 2013.
  25. 杉浦孔明, “ロボット対話 -実世界情報を用いたコミュニケーションの学習-“, 人工知能学会誌, Vol. 27 No. 6, pp. 580-586, 2012.
  26. 柏岡秀紀, 翠輝久, 水上悦雄, 杉浦孔明, 岩橋直人, 堀智織, “観光案内への音声対話システムの活用”, 情報処理学会デジタルプラクティス, Vol. 3, No. 4, pp. 254-261, 2012.
  27. 杉浦孔明, “ロボカップ道しるべ第8回「ロボカップ@ホームリーグ」”, 情報処理, Vol. 53, No. 3, pp. 250-261, 2012.
  28. 中村友昭, アッタミミムハンマド, 杉浦孔明, 長井隆行, 岩橋直人, 戸田智基, 岡田浩之, 大森隆司, “拡張モバイルマニピュレーションのための新規物体の学習”, 日本ロボット学会誌, Vol.30, No.2, pp. 213-224, 2012.
  29. T. Nakamura, K. Sugiura, T. Nagai, N. Iwahashi, T. Toda, H. Okada, T. Omori, “Learning Novel Objects for Extended Mobile Manipulation”, Journal of Intelligent and Robotic Systems, Vol. 66, Issue 1-2 , pp 187-204. 2012.
  30. K. Sugiura, N. Iwahashi, H. Kawai, S. Nakamura, “Situated Spoken Dialogue with Robots Using Active Learning”, Advanced Robotics, Vol.25, No.17, pp. 2207-2232, 2011.
  31. T. Misu, K. Sugiura, T. Kawahara, K. Ohtake, C. Hori, H. Kashioka, H. Kawai and S. Nakamura, “Modeling Spoken Decision Support Dialogue and Optimization of its Dialogue Strategy”, ACM Transactions on Speech and Language Processing, Vol. 7, Issue 3, pp.10:1-10:18, 2011.
  32. K. Sugiura, N. Iwahashi, H. Kashioka, and S. Nakamura, “Learning, Generation, and Recognition of Motions by Reference-Point-Dependent Probabilistic Models”, Advanced Robotics, Vol. 25, No. 6-7, pp. 825-848, 2011.
  33. X. Zuo, N. Iwahashi, K. Funakoshi, M. Nakano, R. Taguchi, S. Matsuda, K. Sugiura, and N. Oka, “Detecting Robot-Directed Speech by Situated Understanding in Physical Interaction”, Journal of the Japanese Society for Artificial Intelligence, Vol.25, No.6, pp. 670-682, 2010.
  34. 杉浦孔明, 岩橋直人, 柏岡秀紀, 中村哲, “言語獲得ロボットによる発話理解確率の推定に基づく物体操作対話”, 日本ロボット学会誌, Vol. 28, No. 8, pp. 978-988, 2010.
  35. K. Sugiura, H. Kawakami, and O. Katai, “Simultaneous Design Method of the Sensory Morphology and Controller of Mobile Robots”, Electrical Engineering in Japan, Vol. 172, Issue 1, pp 48-57, 2010.
  36. T. Taniguchi, N. Iwahashi, K. Sugiura, and T. Sawaragi, “Constructive Approach to Role-Reversal Imitation Through Unsegmented Interactions”, Journal of Robotics and Mechatronics, Vol.20, No.4, pp. 567-577, 2008.
  37. 杉浦孔明,川上浩司,片井修, “移動ロボットにおけるセンサ形態と制御系の同時設計法”, 電気学会論文誌C, Vol. 128-C, No. 7, pp. 1154-1161, 2008.
  38. K. Sugiura, T. Shiose, H. Kawakami, and O. Katai, “Co-evolution of Sensors and Controllers”, IEEJ Trans. EIS, Vol. 124-C, pp. 1938-1943, 2004.

International Conference Articles

  1. S. Ishikawa and K. Sugiura, “Target-dependent UNITER: A Transformer-Based Multimodal Language Comprehension Model for Domestic Service Robots”, IEEE Robotics and Automation Letters presented at IEEE/RSJ IROS, 2021.
  2. M. Kambara and K. Sugiura, “Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions”, IEEE Robotics and Automation Letters presented at IEEE/RSJ IROS, 2021.
  3. T. Ogura, A. Magassouba, K. Sugiura, T. Hirakawa, T. Yamashita, H. Fujiyoshi, H. Kawai, “Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network”, IEEE Robotics and Automation Letters presented at IEEE/RSJ IROS, 2020.
  4. P. Shen, X. Lu, K. Sugiura, S. Li, H. Kawai, “Compensation on x-vector for Short Utterance Spoken Language Identification”, Odyssey 2020 The Speaker and Language Recognition Workshop, pp. 47-52, Tokyo, Japan, 2020.
  5. A. Magassouba, K. Sugiura, H. Kawai, “A Multimodal Target-Source Classifier with Attention Branches to Understand Ambiguous Instructions for Fetching Daily Objects”, IEEE RAL presented at IEEE ICRA, 2020.
  6. A. Magassouba, K. Sugiura, A. Trinh Quoc, H. Kawai, “Understanding Natural Language Instructions for Fetching Daily Objects Using GAN-Based Multimodal Target-Source Classification”, IEEE Robotics and Automation Letters presented at IEEE/RSJ IROS, Macau, China, 2019.
  7. A. Magassouba, K. Sugiura, H. Kawai, “Multimodal Attention Branch Network for Perspective-Free Sentence Generation”, Conference on Robot Learning (CoRL), Osaka, Japan, 2019.
  8. A. Nakayama, A. Magassouba, K. Sugiura, H. Kawai: “PonNet: Object Placeability Classifier for Domestic Service Robots,” Third International Workshop on Symbolic-Neural Learning (SNL-2019), Tokyo, Japan, July 11-12, 2019 [poster].
  9. A. Magassouba, K. Sugiura, H. Kawai, “A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions”, IEEE Robotics and Automation Letters presented at IEEE/RSJ IROS, Madrid, Spain, 2018.IROS 2018 RoboCup Best Paper Award 
  10. K. Sugiura, “SuMo-SS: Submodular Optimization Sensor Scattering for Deploying Sensor Networks by Drones”, IEEE Robotics and Automation Letters presented at IEEE/RSJ IROS, Madrid, Spain, 2018. 
  11. N. Nishizuka, K. Sugiura, Y. Kubo, M. Den, S. Watari and M. Ishii, “Solar Flare Prediction Using Machine Learning with Multiwavelength Observations”, In Proc. IAU Symposium 335, Exeter, UK, vol.13, pp.310-313, 2018.
  12. K. Sugiura and H. Kawai, “Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification”, In Proc. IEEE ASRU, Okinawa, Japan, pp. 519-524, 2017.
  13. K. Sugiura and K. Zettsu, “Analysis of Long-Term and Large-Scale Experiments on Robot Dialogues Using a Cloud Robotics Platform”, In Proc. ACM/IEEE HRI, Christchurch, New Zealand, pp. 525-526, 2016.
  14. S. Takeuchi, K. Sugiura, Y. Akahoshi, and K. Zettsu, “Constrained Region Selection Method Based on Configuration Space for Visualization in Scientific Dataset Search,” In Proc. IEEE Big Data, vol. 2, pp. 2191-2200, 2015.
  15. K. Sugiura and K. Zettsu, “Rospeex: A Cloud Robotics Platform for Human-Robot Spoken Dialogues”, In Proc. IEEE/RSJ IROS, pp. 6155-6160, Hamburg, Germany, Oct 1, 2015.
  16. T. Nose, Y. Arao, T. Kobayashi, K. Sugiura, Y. Shiga, and A. Ito, “Entropy-Based Sentence Selection for Speech Synthesis Using Phonetic and Prosodic Contexts”, In Proc. Interspeech, pp. 3491-3495, Dresden, Germany, Sep. 2015.
  17. K. Lwin, K. Zettsu, and K. Sugiura, “Geovisualization and Correlation Analysis between Geotagged Twitter and JMA Rainfall Data: Case of Heavy Rain Disaster in Hiroshima”, In Proc. Second IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, Fuzhou, China, July 2015.
  18. B. T. Ong, K. Sugiura, and K. Zettsu, “Dynamic Pre-training of Deep Recurrent Neural Networks for Predicting Environmental Monitoring Data,” In Proc. IEEE BigData 2014, pp. 760-765, Washington DC, USA, Oct 30, 2014.
  19. B. T. Ong, K. Sugiura, and K. Zettsu, “Predicting PM2.5 Concentrations Using Deep Recurrent Neural Networks with Open Data,” In Proc. iDB Workshop 2014, Fukuoka, Japan, July 31, 2014.
  20. D. Holz, J. Ruiz-del-Solar, K. Sugiura, S. Wachsmuth, “On RoboCup@Home – Past, Present and Future of a Scientific Competition for Service Robots”, In Proc. RoboCup Symposium, pp. 686-697, Joao Pessoa, Brazil, July 25, 2014.
  21. D. Holz, L. Iocchi, J. Ruiz-del-Solar, K. Sugiura, and T. van der Zant, “RoboCup@Home | a competition as a testbed for domestic service robots,” In Proc. 1st International Workshop on Intelligent Robot Assistants, Padova, Italy, July 15, 2014.
  22. S. Takeuchi, Y. Akahoshi, B. T. Ong, K. Sugiura, and K. Zettsu, “Spatio-Temporal Pseudo Relevance Feedback for Large-Scale and Heterogeneous Scientific Repositories,” In Proc. 2014 IEEE International Congress on Big Data, pp. 669-676, Anchorage, USA, July 1, 2014.
  23. K. Sugiura, Y. Shiga, H. Kawai, T. Misu and C. Hori, “Non-Monologue HMM-Based Speech Synthesis for Service Robots: A Cloud Robotics Approach,” In Proc. IEEE ICRA, pp.2237-2242. Hong Kong, China, June 3, 2014.
  24. J. Tan, T. Inamura, K. Sugiura, T. Nagai, and H. Okada, “Human-Robot Interaction between Virtual and Real Worlds: Motivation from RoboCup@Home,” In Proc. International Conference on Social Robotics, pp.239-248, Bristol, UK, Oct 27, 2013.
  25. T. Inamura, J. Tan, K. Sugiura, T. Nagai, and H. Okada, “Development of RoboCup@Home Simulation towards Long-term Large Scale HRI,” In Proc. RoboCup Symposium, Eindhoven, The Netherlands, July 1, 2013.
  26. R. Lee, K. Kim, K. Sugiura, K. Zettsu, Y. Kidawara, “Complementary Integration of Heterogeneous Crowd-sourced Datasets for Enhanced Social Analytics,” In Proc. IEEE MDM, vol. 2, pp. 234-243, Milan, Italy, June 3, 2013.
  27. K. Sugiura, R. Lee, H. Kashioka, K. Zettsu, and Y. Kidawara, “Utterance Classification Using Linguistic and Non-Linguistic Information for Network-Based Speech-To-Speech Translation Systems,” In Proc. IEEE MDM, vol. 2, pp. 212-216, Milan, Italy, June 3, 2013.
  28. K. Sugiura, Y. Shiga, H. Kawai, T. Misu and C. Hori, “Non-Monologue Speech Synthesis for Service Robots,” In Proc. Fifth Workshop on Gaze in HRI, Tokyo, Japan, March 3, 2013.
  29. K. Sugiura, N. Iwahashi and H. Kashioka, “Motion Generation by Reference-Point-Dependent Trajectory HMMs,” In Proc. IEEE/RSJ IROS, pp.350-356, San Francisco, USA, September 25-30, 2011.【IROS 2011 RoboCup Best Paper Award受賞】
  30. T. Misu, K. Sugiura, K. Ohtake, C. Hori, H. Kashioka, H. Kawai and S. Nakamura, “Modeling Spoken Decision Making Dialogue and Optimization of its Dialogue Strategy”, In Proc. SIGDIAL, pp.221-224, 2011.
  31. T. Misu, K. Sugiura, K. Ohtake, C. Hori, H. Kashioka, H. Kawai and S. Nakamura, “Dialogue Strategy Optimization to Assist User’s Decision for Spoken Consulting Dialogue Systems”, In Proc. IEEE-SLT, pp.342-347, 2010.
  32. N. Iwahashi, K. Sugiura, R. Taguchi, T. Nagai, and T. Taniguchi, “Robots That Learn to Communicate: A Developmental Approach to Personally and Physically Situated Human-Robot Conversations”, In Proc. The 2010 AAAI Fall Symposium on Dialog with Robots, pp. 38-43, Arlington, Virginia, USA, November 11-13, 2010.
  33. K. Sugiura, N. Iwahashi, H. Kawai, and S. Nakamura, “Active Learning for Generating Motion and Utterances in Object Manipulation Dialogue Tasks”, In Proc. The 2010 AAAI Fall Symposium on Dialog with Robots, pp. 115-120, Arlington, Virginia, USA, November 11-13, 2010.
  34. K. Sugiura, N. Iwahashi, H. Kashioka, and S. Nakamura, “Active Learning of Confidence Measure Function in Robot Language Acquisition Framework”, In Proc. IEEE/RSJ IROS, pp. 1774-1779, Taipei, Taiwan, Oct 18-22, 2010.
  35. X. Zuo, N. Iwahashi, R. Taguchi, S. Matsuda, K. Sugiura, K. Funakoshi, M. Nakano, and N. Oka, “Detecting Robot-Directed Speech by Situated Understanding in Physical Interaction”, In Proc. IEEE RO-MAN, pp. 643-648, 2010.
  36. M. Attamimi, A. Mizutani, T. Nakamura, K. Sugiura, T. Nagai, N. Iwahashi, H. Okada, and T. Omori, “Learning Novel Objects Using Out-of-Vocabulary Word Segmentation and Object Extraction for Home Assistant Robots”, In Proc. IEEE ICRA, pp. 745-750, Anchorage, Alaska, USA, May 3-8, 2010.【2011年 ロボカップ研究賞受賞(ロボカップ日本委員会)】
  37. X. Zuo, N. Iwahashi, R. Taguchi, S. Matsuda, K. Sugiura, K. Funakoshi, M. Nakano, and N. Oka, “Robot-Directed Speech Detection Using Multimodal Semantic Confidence Based on Speech, Image, and Motion”, In Proc. IEEE ICASSP, pp. 2458-2461, Dallas, Texas, USA, March 14-19, 2010.
  38. T. Misu, K. Sugiura, T. Kawahara, K. Ohtake, C. Hori, H. Kashioka, and S. Nakamura, “Online Learning of Bayes Risk-Based Optimization of Dialogue Management for Document Retrieval Systems with Speech Interface”, In Proc. IWSDS, 2009.
  39. K. Sugiura, N. Iwahashi, H. Kashioka, and S. Nakamura, “Bayesian Learning of Confidence Measure Function for Generation of Utterances and Motions in Object Manipulation Dialogue Task”, In Proc. Interspeech, pp. 2483-2486, Brighton, UK, September, 2009.
  40. N. Iwahashi, R. Taguchi, K. Sugiura, K. Funakoshi, and M. Nakano, “Robots that Learn to Converse: Developmental Approach to Situated Language Processing”, In Proc. International Symposium on Speech and Language Processing, pp. 532-537, China, August, 2009.
  41. K. Sugiura and N. Iwahashi, “Motion Recognition and Generation by Combining Reference-Point-Dependent Probabilistic Models”, In Proc. IEEE/RSJ IROS, pp. 852-857, Nice, France, September, 2008.
  42. K. Sugiura and N. Iwahashi, “Learning Object-Manipulation Verbs for Human-Robot Communication”, In Proc. Workshop on Multimodal Interfaces in Semantic Interaction, pp. 32-38, Nagoya, Japan, November, 2007.
  43. K. Sugiura, T. Nishikawa, M. Akahane, and O. Katai: “Autonomous Design of a Line-Following Robot by Exploiting Interaction between Sensory Morphology and Learning Controller”, In Proc. the 2nd Biomimetics International Conference, Doshisha, pp. 23-24, Kyoto, Japan, December, 2006
  44. K. Sugiura, D. Matsubara, and O. Katai: “Construction of Robotic Body Schema by Extracting Temporal Information from Sensory Inputs”, In Proc. SICE-ICASE, pp. 302-307, Busan, Korea, October, 2006.
  45. M. Akahane, K. Sugiura, T. Shiose, H. Kawakami, and O. Katai: “Autonomous Design of Robot Morphology for Learning Behavior Using Evolutionary Computation”, In Proc. 2005 Japan-Australia Workshop on Intelligent and Evolutionary Systems, Hakodate, Japan, CD-ROM, 2005.
  46. K. Sugiura, M. Akahane, T. Shiose, K. Shimohara, and O. Katai: “Exploiting Interaction between Sensory Morphology and Learning”, In Proc. IEEE-SMC, Hawaii, USA, pp. 883-888, 2005.
  47. K. Sugiura, T. Shiose, H. Kawakami, and O. Katai: “Co-evolution of Sensors and Controllers”, In Proc. 2003 Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2003), Kitakyushu, Japan, pp. 145-150, 2003.
  48. K. Sugiura, H. Suzuki, T. Shiose, H. Kawakami, and O. Katai: “Evolution of Rewriting Rule Sets Using String-Based Tierra”, In Proc. ECAL, Dortmund, Germany, pp. 69-77, 2003.