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ORCIDHiroshi Ito
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Hiroshi Ito 0001
![[0000-0003-2035-8870]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2035-8870")
— Kyushu Institute of Technology, Iizuka, Fukuoka, Japan - Hiroshi Ito 0002 — National Institute of Radiological Sciences, Chiba, Japan
- Hiroshi Ito 0003 — Mitsubishi Electric Corporation, Kanagawa, Japan
- Hiroshi Ito 0004 — East Japan Railway Company, Saitama, Japan
- Hiroshi Ito 0005 — Kitasato University, Minato, Japan
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2020 – today
- 2024
[c45]Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Tetsuya Ogata:
Retry-behavior Emergence for Robot-Motion Learning Without Teaching and Subtask Design. AIM 2024: 178-183- [c44]Hiroshi Ito:
A Dissipativity Framework for Input-to-State Stability with Positivity of Dynamical Systems with Interior Equilibria. ACC 2024: 1127-1132 - [c43]Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto:
Real- Time Failure/Anomaly Prediction for Robot Motion Learning Based on Model Uncertainty Prediction. SII 2024: 376-381 - [c42]Kenjiro Yamamoto, Hiroshi Ito, Hideyuki Ichiwara, Hiroki Mori, Tetsuya Ogata:
Real-Time Motion Generation and Data Augmentation for Grasping Moving Objects with Dynamic Speed and Position Changes. SII 2024: 390-397 - [i9]Masaki Yoshikawa, Hiroshi Ito, Tetsuya Ogata:
Achieving Faster and More Accurate Operation of Deep Predictive Learning. CoRR abs/2408.10231 (2024) - [i8]Hyogo Hiruma, Hiroshi Ito, Tetusya Ogata:
Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction. CoRR abs/2410.00774 (2024) - 2023
- [j21]Masahiro Okada, Hiroshi Ito:
Phase characteristics of vocal tract filter can distinguish speakers. Frontiers Appl. Math. Stat. 9 (2023) - [j20]Hiroshi Ito, Tadashi Kasezawa:
Device Dependent Information Hiding for Images. IEICE Trans. Inf. Syst. 106(2): 195-203 (2023) - [j19]André Yuji Yasutomi, Hideyuki Ichiwara, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata:
Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions. IEEE Robotics Autom. Lett. 8(3): 1834-1841 (2023) - [j18]Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata:
Modality Attention for Prediction-Based Robot Motion Generation: Improving Interpretability and Robustness of Using Multi-Modality. IEEE Robotics Autom. Lett. 8(12): 8271-8278 (2023) - [c41]Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata:
Multimodal Time Series Learning of Robots Based on Distributed and Integrated Modalities: Verification with a Simulator and Actual Robots. ICRA 2023: 9551-9557 - [c40]Hiroshi Ito:
ISS with respect to unrestricted population perturbations in semi-global control of SIQR. SICE 2023: 1319-1324 - [c39]Chihiro Okada, Sozo Yokogawa, Yuhi Yorikado, Katsumi Honda, Naoki Okuno, Ryohei Ikeno, Makoto Yamakoshi, Hiroshi Ito, Shohei Yoshitsune, Masatsugu Desaki, Shota Hida, Atsushi Nose, Hayato Wakabayashi, Fumihiko Koga:
216 fps 672 × 512 pixel 3 μm Indirect Time-of-Flight Image Sensor with 1-Frame Depth Acquisition for Motion Artifact Suppression. VLSI Technology and Circuits 2023: 1-2 - [i7]Kanata Suzuki, Hiroshi Ito, Tatsuro Yamada, Kei Kase, Tetsuya Ogata:
Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics. CoRR abs/2306.14714 (2023) - [i6]Kenjiro Yamamoto, Hiroshi Ito, Hideyuki Ichiwara, Hiroki Mori, Tetsuya Ogata:
Real-time Motion Generation and Data Augmentation for Grasping Moving Objects with Dynamic Speed and Position Changes. CoRR abs/2309.12547 (2023) - [i5]Namiko Saito, Mayu Hiramoto, Ayuna Kubo, Kanata Suzuki, Hiroshi Ito, Shigeki Sugano, Tetsuya Ogata:
Realtime Motion Generation with Active Perception Using Attention Mechanism for Cooking Robot. CoRR abs/2309.14837 (2023) - [i4]André Yuji Yasutomi, Hideyuki Ichiwara, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata:
Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions. CoRR abs/2312.16438 (2023) - 2022
- [j17]Hiroshi Ito, Takuma Sugi, Ken H. Nagai:
Controllable Biological Rhythms and Patterns. J. Robotics Mechatronics 34(2): 253-256 (2022) - [j16]Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata:
Deep Active Visual Attention for Real-Time Robot Motion Generation: Emergence of Tool-Body Assimilation and Adaptive Tool-Use. IEEE Robotics Autom. Lett. 7(3): 8550-8557 (2022) - [j15]Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata:
Efficient multitask learning with an embodied predictive model for door opening and entry with whole-body control. Sci. Robotics 7(65) (2022) - [c38]Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata:
Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility. ICRA 2022: 5375-5381 - [c37]Hiroshi Ito, Hideyuki Ichiwara, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata:
Integrated Learning of Robot Motion and Sentences: Real-Time Prediction of Grasping Motion and Attention based on Language Instructions. ICRA 2022: 5404-5410 - [c36]Hyogo Hiruma, Hiroki Mori, Hiroshi Ito, Tetsuya Ogata:
Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Prediction for Robot Pose Prediction. IECON 2022: 1-6 - [c35]Hiroshi Ito, Takumi Kurata, Tetsuya Ogata:
Sensory-Motor Learning for Simultaneous Control of Motion and Force: Generating Rubbing Motion against Uneven Object. SII 2022: 408-415 - [i3]Hyogo Hiruma, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata:
Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use. CoRR abs/2206.14530 (2022) - 2021
- [j14]Hiroki Konno, Adrian Dobroiu, Safumi Suzuki, Masahiro Asada, Hiroshi Ito:
Discrete Fourier Transform Radar in the Terahertz-Wave Range Based on a Resonant-Tunneling-Diode Oscillator. Sensors 21(13): 4367 (2021) - [c34]Toru Nakamura, Hiroshi Ito, Shinsaku Kiyomoto, Toshihiro Yamauchi:
(Short Paper) Evidence Collection and Preservation System with Virtual Machine Monitoring. IWSEC 2021: 64-73 - [c33]Hajime Nakata, Hiroshi Ito:
Feedback balancing between vaccination and quarantine for disease control: a simulation for COVID-19 in Japan. SICE 2021: 1255-1260 - [i2]Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata:
Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation. CoRR abs/2103.01598 (2021) - [i1]Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata:
Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility. CoRR abs/2112.06442 (2021) - 2020
- [j13]Hiroshi Ito:
Interval observer of minimal error dynamics. Autom. 113: 108794 (2020) - [j12]Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata:
Evaluation of Generalization Performance of Visuo-Motor Learning by Analyzing Internal State Structured from Robot Motion. New Gener. Comput. 38(1): 7-22 (2020) - [j11]Adrian Dobroiu, Yusuke Shirakawa, Safumi Suzuki, Masahiro Asada, Hiroshi Ito:
Subcarrier Frequency-Modulated Continuous-Wave Radar in the Terahertz Range Based on a Resonant-Tunneling-Diode Oscillator. Sensors 20(23): 6848 (2020) - [c32]Hiroshi Ito:
Feedback control on immigration to reduce spread of infectious diseases with an ISS guarantee. SICE 2020: 736-741 - [c31]Hiroshi Ito:
Max- and Sum-Separable Lyapunov Functions for Monotone Networks with Balancing Kinetics. SICE 2020: 742-747 - [c30]Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Shuki Goto, Tetsuya Ogata:
Visualization of Focal Cues for Visuomotor Coordination by Gradient-based Methods: A Recurrent Neural Network Shifts The Attention Depending on Task Requirements. SII 2020: 188-194 - [c29]Hiroki Kanayama, Taishi Ueda, Hiroshi Ito, Kenjiro Yamamoto:
Two-mode Mapless Visual Navigation of Indoor Autonomous Mobile Robot using Deep Convolutional Neural Network. SII 2020: 536-541
2010 – 2019
- 2019
- [j10]Hiroshi Ito:
A geometrical formulation to unify construction of Lyapunov functions for interconnected iISS systems. Annu. Rev. Control. 48: 195-208 (2019) - [j9]Hiroshi Ito, Tadashi Kasezawa:
Permutation-Based Signature Generation for Spread-Spectrum Video Watermarking. IEICE Trans. Inf. Syst. 102-D(1): 31-40 (2019) - [c28]Hiroshi Ito:
A Fusion of Max- and Sum-Separable Lyapunov Functions Capable of Addressing iISS in Networks. CDC 2019: 7007-7012 - 2018
- [c27]Shun Ogiue, Hiroshi Ito:
Method of Correction of Rotated Images Using Deep Learning Networks. IIAI-AAI 2018: 980-981 - 2017
- [c26]Shun Ogiue, Hiroshi Ito:
Recovery of Lost Color Information Using Neural Network. IIAI-AAI 2017: 1027-1028 - 2016
- [c25]Tadashi Kasezawa, Hirotaka Tanaka, Hiroshi Ito:
Integral image word length reduction using overlapping rectangular regions. ICIT 2016: 763-768 - 2015
- [c24]Nami Kudo, Kazunari Tsuda, Hiroshi Ito, Sachuronggui Bao, Yasushi Motai, Mizuki Nakajima, Hiroshi Hashimoto:
Factor analysis of graceful bow based on skeleton model. TAAI 2015: 491-497 - 2013
- [c23]Kenji Togashi, Hiroshi Ito:
Information concealment in serpentine patterns. GCCE 2013: 288-291 - 2011
- [j8]Hiroshi Ito, Thai-Hoang Huynh, Jean-Philippe Lauffenburger:
Contents. Eur. J. Control 17(4): 335-336 (2011) - [c22]Shinichi Sato, Takashi Koyama, Kyoichi Ono, Gen Igarashi, Hiroyuki Watanabe, Hiroshi Ito, Mikio Muraoka:
Cardiac Diagnosing by a Piezoelectric-transducer-based Heart Sound Monitor System. BIODEVICES 2011: 280-283
2000 – 2009
- 2007
- [j7]Satoshi Kodama, Hiroshi Ito:
UTC-PD-Based Optoelectronic Components for High-Frequency and High-Speed Applications. IEICE Trans. Electron. 90-C(2): 429-435 (2007) - [c21]Hiroshi Ito:
Asymmetric iISS and ISS Properties Yielding Stability of Interconnected Systems and An Application to A Circadian Model. ACC 2007: 3041-3046 - 2005
- [c20]Hiroshi Ito:
Explicit solutions to state-dependent scaling problems for interconnected iISS and ISS nonlinear systems. ACC 2005: 4131-4136 - [c19]Hiroshi Ito:
A parametrization of supply rates for small-gain conditions for global stability of interconnected iISS and ISS systems. ACC 2005: 4137-4142 - [c18]Hiroshi Ito:
Establishing iISS Property of Interconnected Systems via Parametrization of Supply Rates. CDC/ECC 2005: 5650-5655 - 2004
- [c17]Hiroshi Ito:
Stability criteria for interconnected iISS systems and ISS systems using scaling of supply rates. ACC 2004: 1055-1060 - [c16]Hiroshi Ito:
A dissipative approach to control of biological wastewater treatment plants based on entire nonlinear process models. ACC 2004: 5489-5495 - [c15]Hiroshi Ito, Toshimasa Namekawa:
Pure CMOS one-time programmable memory using gate-ox anti-fuse. CICC 2004: 469-472 - [c14]Osamu Wada, Toshimasa Namekawa, Hiroshi Ito, Atsushi Nakayama, Shuso Fujii:
Post-Packaging Auto Repair Techniques for Fast Row Cycle Embedded DRAM. ITC 2004: 1016-1023 - 2003
- [c13]Hiroshi Ito:
Scaling supply rates of ISS systems for stability of feedback interconnected nonlinear systems. CDC 2003: 5074-5079 - 2002
- [c12]Hiroshi Ito:
Reduced-order partial-state feedback for robust nonlinear control using state-dependent scaling. ACC 2002: 3492-3497 - [c11]Hiroshi Ito:
A constructive proof of ISS small-gain theorem using generalized scaling. CDC 2002: 2286-2291 - [c10]Hiroshi Ito:
State-dependent scaling characterization of stability and performance for nonlinear interconnected systems. CDC 2002: 3937-3943 - 2001
- [j6]Hiroshi Ito:
Dissolution behavior of chemically amplified resist polymers for 248-, 193-, and 157-nm lithography. IBM J. Res. Dev. 45(5): 683-696 (2001) - [c9]Motonobu Hattori, Hiroya Arisumi, Hiroshi Ito:
Sequential Learning for SOM Associative Memory with Map Reconstruction. ICANN 2001: 477-484 - 2000
- [j5]Hiroshi Ito:
Chemical amplification resists: History and development within IBM. IBM J. Res. Dev. 44(1): 119-131 (2000) - [c8]Hiroshi Ito:
Improvement of deadbeat servomechanism using multirate input control. ACC 2000: 169-174 - [c7]Hiroshi Ito:
A unified characterization and solution of input-to-state stabilization via state-dependent scaling. CDC 2000: 3513-3518 - [c6]Hiroshi Ito:
New state-dependent scaling for uncertain dynamics: nonlinear global stabilization and performance. CDC 2000: 3519-3525
1990 – 1999
- 1999
- [c5]Takeo Yamada, Motonobu Hattori, Masayuki Morisawa, Hiroshi Ito:
Sequential learning for associative memory using Kohonen feature map. IJCNN 1999: 1920-1923 - 1998
- [j4]Rimon Ikeno, Hiroshi Ito, Kunihiro Asada:
One-Dimensional Analysis of Subthreshold Characteristics of SOI-MOSFET Considering Quantum Mechanical Effects. VLSI Design 6(1-4): 65-67 (1998) - 1997
- [j3]Hiroshi Ito:
Chemical amplification resists: History and development within IBM. IBM J. Res. Dev. 41(1&2): 69-80 (1997) - [c4]Hiroshi Ito, Shinji Fujisawa, Youichi Hattori:
Proposal and development of an autonomous decentralized system for newspaper production. ISADS 1997: 247-254 - 1995
- [c3]Hiroshi Ito, Nariman Farvardin:
On motion compensation of wavelet coefficients. ICASSP 1995: 2161-2164 - [c2]Hiroshi Ito, Nariman Farvardin:
A wavelet video coder using entropy-constrained trellis coded quantization. ICIP 1995: 598-601 - 1993
- [j2]Hiroshi Ito, Hiromitsu Ohmori, Akira Sano:
Design of stable controllers attaining low Hinfinity weighted sensitivity. IEEE Trans. Autom. Control. 38(3): 485-488 (1993) - 1992
- [j1]Yukio Saito, Takanori Higashihara, Hiroshi Ito, Toru Oshima, Kan Momosaki:
A New Approach in Robot Control Systems for Home Nursing. J. Robotics Mechatronics 4(4): 279-287 (1992) - [c1]Hiroshi Ito, Takashi Matsubara, Takakazu Kurokawa, Yoshiaki Koga:
A Proposal of Fault-Checking Fuzzy Control. ISMVL 1992: 428-434
Coauthor Index
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