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ORCIDManabu Gouko
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2020 – today
- 2024
[c24]Manabu Gouko:
Learning of the Exploratory Behavior of Mobile Robots for Environmental Segmentation. ICARA 2024: 123-127- 2020
- [j8]Akihiro Ogasawara, Manabu Gouko:
Determining the Most Effective Way of Ensuring a Tidying-Up Behavior: Comparison of Effects of Reminders Using Oral Instruction, Posters, and Robots. J. Adv. Comput. Intell. Intell. Informatics 24(4): 543-548 (2020)
2010 – 2019
- 2019
- [c23]Nagisa Ishizumi, Manabu Gouko:
Famileaf: Flowerpot robot for dementia prevention. ISPACS 2019: 1-2 - 2018
- [c22]Ryo Hirai, Manabu Gouko, Chyon Hae Kim:
Joint Angle Error Reduction for Humanoid Robots Using Dynamics Learning Tree. IEA/AIE 2018: 221-232 - 2017
- [c21]Akihiro Ogasawara, Manabu Gouko:
Stationery Holder Robot that Encourages Office Workers to Tidy Their Desks. HAI 2017: 439-441 - [c20]Manabu Gouko, Yuka Arakawa:
A Coaster Robot that Encourages Office Workers to Drink Water. HAI 2017: 447-449 - [c19]Manabu Gouko, Chyon Hae Kim, Yuichi Kobayashi
:
Active perception model extracting object features from unlabeled data. ICAR 2017: 518-523 - [c18]Chyon Hae Kim, Kanta Watanabe, Shun Nishide, Manabu Gouko:
Epsilon-greedy babbling. ICDL-EPIROB 2017: 227-232 - 2016
- [c17]Chyon Hae Kim, Yusuke Kon, Ricardo Navarro, Manabu Gouko, Yuichi Kobayashi:
Effective reward function in discernment behavior reinforcement learning based on categorization progress. Humanoids 2016: 300-305 - [c16]Kanta Watanabe, Shun Nishide, Manabu Gouko, Chyon Hae Kim:
Fully Automated Learning for Position and Contact Force of Manipulated Object with Wired Flexible Finger Joints. IEA/AIE 2016: 753-767 - [c15]Manabu Gouko, Chyon Hae Kim:
Can object-exclusion behavior of robot encourage human to tidy up tabletop? ROBIO 2016: 1838-1844 - [c14]Akihiro Ogasawara, Manabu Gouko:
Prototype stationery holder robot that encourages office workers to maintain a tidy desktop. ROBIO 2016: 2192-2197 - 2015
- [j7]Manabu Gouko, Yuichi Kobayashi, Chyon Hae Kim:
Online exploratory behavior acquisition model based on reinforcement learning. Appl. Intell. 42(1): 75-86 (2015) - [c13]Manabu Gouko, Chyon Hae Kim:
Fundamental Study of Robot Behavior that Encourages Human to Tidy up Table. HRI (Extended Abstracts) 2015: 89-90 - 2014
- [c12]Manabu Gouko, Yuichi Kobayashi, Chyon Hae Kim:
Online learning of exploratory behavior through human-robot interaction. HRI 2014: 166-167 - 2013
- [j6]Yuichi Kobayashi, Eisuke Kurita, Manabu Gouko:
Integration of Multiple Sensor Spaces with Limited Sensing Range and Redundancy. Int. J. Robotics Autom. 28(1) (2013) - [j5]Manabu Gouko, Yuichi Kobayashi:
A State Representation Model for Robots Unaffected by Environmental Changes. Int. J. Soc. Robotics 5(1): 117-125 (2013) - [c11]Manabu Gouko, Yuichi Kobayashi, Chyon Hae Kim:
Online Exploratory Behavior Acquisition of Mobile Robot Based on Reinforcement Learning. IEA/AIE 2013: 272-281 - 2012
- [j4]Yuichi Kobayashi, Yuta Sato, Manabu Gouko:
Division of Iterative-Transportation Based on Local Observation by Multiple Mobile Robots. J. Adv. Comput. Intell. Intell. Informatics 16(3): 462-468 (2012) - [c10]Manabu Gouko, Yuichi Kobayashi, Chyon Hae Kim:
Reinforcement learning for discernment behavior acquisition. ROBIO 2012: 704-709 - 2011
- [c9]Manabu Gouko, Yuichi Kobayashi:
A state representation unaffected by environmental changes. ICAR 2011: 396-401 - 2010
- [j3]Manabu Gouko, Naoki Tomi, T. Nagano, Koji Ito:
Behaviour Emergence Model Based on Changes in Sensory Information and its Application to Multiple Tasks. Int. J. Robotics Autom. 25(1) (2010) - [j2]Manabu Gouko, Koji Ito:
Environmental Modeling and Identification Based on Changes in Sensory Information. Trans. Comput. Sci. 8: 3-19 (2010) - [c8]Manabu Gouko, Yuichi Kobayashi:
State Representation with Perceptual Constancy Based on Active Motion. ICSR 2010: 100-109
2000 – 2009
- 2009
- [j1]Manabu Gouko, Koji Ito:
An Action Generation Model by Using Time Series Prediction and its Application to Robot Navigation. Int. J. Neural Syst. 19(2): 105-113 (2009) - [c7]Naoki Tomi, Manabu Gouko, Koji Ito:
Combined Mechanisms of Internal Model Control and Impedance Control under Force Fields. ICANN (1) 2009: 628-637 - [c6]Manabu Gouko, Koji Ito:
Environmental identification based on changes in sensory information. ICAR 2009: 1-7 - 2008
- [c5]Mitsuru Takahashi, Manabu Gouko, Koji Ito:
Electroencephalogram (EEG) and Functional Electrical Stimulation (FES) System for Rehabilitation of Stroke Patients. CBMS 2008: 53-58 - [c4]Naoki Tomi, Manabu Gouko, Koji Ito:
Inaccuracy of internal models in force fields and complementary use of impedance control. IROS 2008: 393-398 - [c3]Manabu Gouko, Koji Ito:
Action Generation Model for Multiple Tasks Based on the Ecological Approach. SASO 2008: 457-458 - 2007
- [c2]Manabu Gouko, Koji Ito:
An Action Generation Model Using Time Series Prediction. IJCNN 2007: 602-607 - 2005
- [c1]Manabu Gouko, Yoshihiro Sugaya, Hirotomo Aso:
Fuzzy Inference Model for Learning from Experiences and Its Application to Robot Navigation. CIMCA/IAWTIC 2005: 577-582
Coauthor Index
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