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Naohiro Fukumura
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2020 – today
- 2022
- [c11]Motoi Matsuda, Satoshi Katayama, Mai Ohashi, Naohiro Fukumura:
Grasp Control of a Multi-fingered Robot Hand for Cups of Different Sizes using a Visuomotor Integration Model. SCIS/ISIS 2022: 1-6 - 2021
- [j10]Yoshihiro Ohama, Kakeru Tanaka, Hiroshi Yasuda, Kainosuke Obata, Naohiro Fukumura:
Improvements in Perpendicular Reverse Parking by Directing Drivers' Preliminary Behavior. IEEE Access 9: 92003-92016 (2021)
2010 – 2019
- 2014
- [c10]Ryo Saegusa, Shotaro Mamiya, Yuichiro Koiwa, Kenta Itokazu, Shinpei Igari, Keisuke Shigematsu, Takahito Yamashita, Shigenori Sano, Naohiro Fukumura, Naoki Uchiyama, Takanori Miyoshi, Kazuhiko Terashima, Jun Miura:
A robot-mediated information guide system. SMC 2014: 2995-3000
2000 – 2009
- 2007
- [c9]Hiroshi Fukuda, Naoya Kakutani, Naohiro Fukumura, Yoji Uno:
A Neural Network Model for Planning Force and Posture in Three-digit Object Holding. IJCNN 2007: 1308-1313 - 2006
- [j9]Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
A forward-propagation learning rule for neural inverse models in consideration of the correlation of propagated errors. Syst. Comput. Jpn. 37(13): 54-66 (2006) - 2005
- [j8]Takahiro Kagawa, Hiroshi Fukuda, Naohiro Fukumura, Yoji Uno:
Study of the stability of a standing posture using a dynamics model of paraplegia. Syst. Comput. Jpn. 36(5): 1-12 (2005) - [j7]Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
A forward-propagation learning rule for neural inverse models using a method of recursive least squares. Syst. Comput. Jpn. 36(8): 71-80 (2005) - [c8]Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
A Simplified Forward-Propagation Learning Rule Applied to Adaptive Closed-Loop Control. ICANN (2) 2005: 437-443 - [c7]Naohiro Fukumura, Keitaro Wakaki, Yoji Uno:
A Modular Structure of Auto-encoder for the Integration of Different Kinds of Information. ICNC (1) 2005: 313-321 - 2004
- [j6]Naohiro Fukumura, Shigenao Otane, Yoji Uno:
Integration process of visual and haptic information based on experiments about size perception of solid objects. Syst. Comput. Jpn. 35(11): 24-38 (2004) - [c6]Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
A Forward-Propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm. ICONIP 2004: 585-591 - 2000
- [j5]Hiroshi Fukuda, Naohiro Fukumura, Masazumi Katayama, Yoji Uno:
Relation between object recognition and formation of hand shape: A computational approach to human grasping movements. Syst. Comput. Jpn. 31(12): 11-22 (2000)
1990 – 1999
- 1998
- [c5]Hiroshi Fukuda, Naohiro Fukumura, Masazumi Katayama, Yoji Uno:
Object Recognition and Formation of Hand Shape in Human Grasping Movements. ICONIP 1998: 467-470 - [c4]Naohiro Fukumura, Shigenao Otane, Yoji Uno, Ryoji Suzuki:
A Neural Network Model for Extracting Correlated Information in Sensory Integration. ICONIP 1998: 873-876 - 1997
- [j4]Jun Tani, Naohiro Fukumura:
Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO. Neural Networks 10(1): 153-159 (1997) - 1995
- [j3]Jun Tani, Naohiro Fukumura:
Embedding a grammatical description in deterministic chaos: an experiment in recurrent neural learning. Biol. Cybern. 72(4): 365-370 (1995) - [j2]Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato:
A computational model for recognizing objects and planning hand shapes in grasping movements. Neural Networks 8(6): 839-851 (1995) - [c3]Jun Tani, Naohiro Fukumura:
A Dynamical Systems Approach for a Learnable Autonomous Robot. NIPS 1995: 989-995 - 1994
- [j1]Jun Tani, Naohiro Fukumura:
Learning goal-directed sensory-based navigation of a mobile robot. Neural Networks 7(3): 553-563 (1994) - [c2]Jun Tani, Naohiro Fukumura:
Embedding task-based behavior into internal sensory-based attractor dynamics in navigation of a mobile robot. IROS 1994: 886-893 - 1992
- [c1]Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato:
Integration of Visual and Somatosensory Information for Preshaping Hand in Grasping Movements. NIPS 1992: 311-318
Coauthor Index
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