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Naoto Yoshida
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2020 – today
- 2024
- [j9]Naoto Yoshida
, Tatsuya Daikoku, Yukie Nagai
, Yasuo Kuniyoshi
:
Emergence of integrated behaviors through direct optimization for homeostasis. Neural Networks 177: 106379 (2024) - 2023
- [j8]Daiki Shimokawa, Naoto Yoshida, Shuzo Koyama, Satoshi Kurihara:
Automatic parameter learning method for agent activation spreading network by evolutionary computation. Artif. Life Robotics 28(3): 571-582 (2023) - [c33]Akihisa Tsukamoto
, Naoto Yoshida
, Tomoko Yonezawa
, Kenji Mase
, Yu Enokibori
:
Where Are the Best Positions of IMU Sensors for HAR? - Approach by a Garment Device with Fine-Grained Grid IMUs -. UbiComp/ISWC Adjunct 2023: 445-450 - [c32]Kou Miyamoto, Yuta Tomiyoshi, Naoto Yoshida, Satoshi Nakano, Jinhua She:
Disturbance Rejection Using the Combination of Equivalent-Input-Disturbance and Model-Predictive-Control Methods. IECON 2023: 1-5 - [c31]Naoto Yoshida
, Hoshinori Kanazawa
, Yasuo Kuniyoshi:
Homeostatic Reinforcement Learning through Soft Behavior Switching with Internal Body State. IJCNN 2023: 1-8 - 2022
- [j7]Naoto Yoshida
, Shuto Yonemura, Masahiro Emoto, Kanji Kawai, Naoki Numaguchi, Hiroki Nakazato, Shunsuke Otsubo, Megumi Takada
, Kaname Hayashi:
Production of Character Animation in a Home Robot: A Case Study of LOVOT. Int. J. Soc. Robotics 14(1): 39-54 (2022) - [c30]Kou Miyamoto, Naoto Yoshida, Yuta Tomiyoshi, Satoshi Nakano, Jinhua She:
Improving habitability for wind-induced structural vibration by equivalent-input-disturbance approach. IECON 2022: 1-6 - [c29]Naoto Yoshida, Hina Miura, Takashi Matsutani, Hideto Motomura:
Data Augmentation for Edge-AI on-chip Learning. WF-IoT 2022: 1-6 - 2021
- [j6]Kei Iwase, Yu Enokibori, Naoto Yoshida, Kenji Mase:
Joint Position Estimation for Body Pressure Images during Sleep: An Extension for CPM Using Body Area and Posture Estimation Mashups. J. Inf. Process. 29: 620-629 (2021) - [c28]Naoto Yoshida, Kaede Ueno, Tomoko Yonezawa:
Agent's Internal State Expression Related to Desire and Suppress Based on Behavior and Physiological Expression. HAI 2021: 417-422 - [c27]Hiroki Kato, Yu Enokibori, Naoto Yoshida, Kenji Mase:
Toward Fine-Grained Sleeping Activity Recognition: 3d Extension and an Estimation Try on Joint Position of SLP Dataset. UbiComp/ISWC Adjunct 2021: 322-327 - [c26]Naoto Yoshida, Tomoko Yonezawa:
Attention-Guidance Method Based on Conforming Behavior of Multiple Virtual Agents for Pedestrians. IVA 2021: 209-215 - 2020
- [c25]Cong Wang, Xin Wan, Naoto Yoshida, Tomoko Yonezawa:
Stimulation of Motivation for Learning by Multiple Agents in Group Training. HAI 2020: 25-31 - [c24]Tomoko Yonezawa
, Naoto Yoshida
, Keiichiro Nagao, Xin Wan
:
Partner Agent Showing Continuous and Preceding Daily Activities for Users' Behavior Modification. HCI (18) 2020: 622-637
2010 – 2019
- 2019
- [c23]Xiaoshun Meng, Naoto Yoshida, Xin Wan, Tomoko Yonezawa:
Emotional Gripping Expression of a Robotic Hand as Physical Contact. HAI 2019: 37-42 - [c22]Naoto Yoshida, Kaede Ueno, Tomoko Yonezawa:
Agent's Desire State Expression by Combining Tactile Heartbeat and Visible Behaviors. HAI 2019: 226-228 - [c21]Tomoko Yonezawa, Naoto Yoshida, Nanase Ishikawa:
Japanese Tea Ceremony Experience with Multimodal AR Expressing Mental Concentration. VR 2019: 1684-1686 - 2018
- [c20]Naoto Yoshida, Sho Hanasaki, Tomoko Yonezawa:
Attracting Attention and Changing Behavior toward Wall Advertisements with a Walking Virtual Agent. HAI 2018: 61-66 - [c19]Naoto Yoshida, Tomoko Yonezawa:
Arousal and Valence in Robot's Emotional Expression of Breathing and Heartbeat. HAI 2018: 330-332 - [c18]Kaede Ueno, Naoto Yoshida, Tomoko Yonezawa:
Internal Flow Model and Behavioral Design for an Anthropomorphic Agent's Ownership-Desire Model. HAI 2018: 362-364 - 2017
- [j5]Naoto Yoshida
:
Homeostatic Agent for General Environment. J. Artif. Gen. Intell. 8(1): 1-22 (2017) - [c17]Tomoko Yonezawa, Naoto Yoshida, Kaoru Maeda:
Indirect Control of User's E-learning Motivation by Controlling Activity Ratio of Multiple Agents. HAI 2017: 27-34 - [c16]Naoto Yoshida, Tomoko Yonezawa:
Physiological Expression of Robots Enhancing Users' Emotion in Direct and Indirect Communication. HAI 2017: 505-509 - 2016
- [j4]Naoto Yoshida
:
From retina to behavior: prey-predator recognition by convolutional neural networks and their modulation by classical conditioning. Adapt. Behav. 24(4): 195-218 (2016) - [j3]Tomoko Yonezawa, Naoto Yoshida, Kento Kuboshima:
Design of Pet Robots with Limitations of Lives and Inherited Characteristics. EAI Endorsed Trans. Collab. Comput. 2(7): e5 (2016) - [j2]Naoto Yoshida, Yukari Nakatani, Tomoko Yonezawa:
Breathing Expression for Intimate Communication Corresponding to the Physical Distance and Contact between Human and Robot. EAI Endorsed Trans. Creative Technol. 3(7): e2 (2016) - [c15]Naoto Yoshida, Tomoko Yonezawa:
Investigating Breathing Expression of a Stuffed-Toy Robot Based on Body-Emotion Model. HAI 2016: 139-144 - [c14]Tomoko Yonezawa, Kunihiko Fujiwara, Naoto Yoshida:
Evaluation of Schedule Managing Agent among Multiple Members with Representation of Background Negotiations. HAI 2016: 305-312 - [c13]Tomoko Yonezawa, Shota Yanagi, Naoto Yoshida, Yuki Ishikawa:
Accelerating the Physical Experience of Immersive and Penetrating Music Using Vibration-Motor Array in a Wearable Belt Set. ICEC 2016: 173-186 - [c12]Naoto Yoshida, Kaede Ueno, Yusuke Naka, Tomoko Yonezawa:
Virtual ski jump: illusion of slide down the slope and gliding. SIGGRAPH Asia Posters 2016: 4 - [c11]Kaede Ueno, Naoto Yoshida, Tomoko Yonezawa:
Groveling on the wall: interactive VR attraction using gravity illusion. SIGGRAPH Asia Posters 2016: 6 - [i2]Naoto Yoshida
:
On Reward Function for Survival. CoRR abs/1606.05767 (2016) - 2015
- [c10]Naoto Yoshida, Yukari Nakatani, Tomoko Yonezawa:
Breathing Expression for Intimate Communication Corresponding to the Physical Distance and Contact between Human and Robot. BICT 2015: 65-68 - [c9]Tomoko Yonezawa, Naoto Yoshida, Kento Kuboshima:
Design of Pet Robots with Limitations of Lives and Inherited Characteristics. BICT 2015: 69-72 - [c8]Naoto Yoshida, Tomoko Yonezawa:
Spatial Communication and Recognition in Human-agent Interaction using Motion-parallax-based 3DCG Virtual Agent. HAI 2015: 97-103 - [c7]Yusuke Naka, Naoto Yoshida, Tomoko Yonezawa:
Indirect Monitoring of Cared Person by Onomatopoeic Text of Environmental Sound and User's Physical State. HCI (21) 2015: 506-517 - [c6]Tomoko Yonezawa, Naoto Yoshida, Jumpei Nishinaka:
Crossmodal combination among verbal, facial, and flexion expression for anthropomorphic acceptability. RO-MAN 2015: 549-554 - [c5]Xiaoshun Meng, Naoto Yoshida, Tomoko Yonezawa:
Evaluations of involuntary cross-modal expressions on the skin of a communication robot. URAI 2015: 347-352 - [i1]Naoto Yoshida
:
Q-Networks for Binary Vector Actions. CoRR abs/1512.01332 (2015) - 2014
- [c4]Naoto Yoshida, Miyuki Yano, Tomoko Yonezawa:
Personal and interactive newscaster agent based on estimation of user's understanding. HAI 2014: 45-50 - [c3]Tomoko Yonezawa, Xiaoshun Meng, Naoto Yoshida, Yukari Nakatani:
Involuntary expression of embodied robot adopting goose bumps. HRI 2014: 322-323 - [c2]Tomoko Yonezawa, Yukari Nakatani, Naoto Yoshida, Ayaka Kawamura:
Interactive browsing agent for the novice user with selective information in dialog. SCIS&ISIS 2014: 731-734 - 2013
- [c1]Naoto Yoshida
, Eiji Uchibe, Kenji Doya:
Reinforcement learning with state-dependent discount factor. ICDL-EPIROB 2013: 1-6
2000 – 2009
- 2002
- [j1]Kazunori Sato, Naoto Yoshida, Norio Konno
:
Parity law for population dynamics of N-species with cyclic advantage competitions. Appl. Math. Comput. 126(2-3): 255-270 (2002)
Coauthor Index
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last updated on 2024-08-05 21:24 CEST by the dblp team
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