Yuya Okadome

According to our database, Yuya Okadome authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Feature Extraction Method Using Lag Operation for Sub-Grouped Multidimensional Time Series Data.

Yuya Okadome, Yutaka Nakamura

IEEE Access, 2024

Generating Interaction Behavior During a Dyadic Conversation Using a Diffusion Model.

Yuya Okadome, Yutaka Nakamura

Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024

PIDM: Personality-Aware Interaction Diffusion Model for Gesture Generation.

Takahiro Shibasaki, Yutaka Nakamura, Yuya Okadome

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Prompt Design Using Past Dialogue Summarization for LLMs to Generate the Current Appropriate Dialogue.

Yuya Okadome, Akishige Yuguchi, Ryota Fukui, Yoshio Matsumoto

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Analysis of Participants' Synchronization Behaviors and Big Five Personalities in Dyadic Conversation.

Koutaro Okada, Yuya Okadome

Proceedings of the HCI International 2024 Posters, 2024

Development of a Attentive Listening Robot Using the Motion Prediction Based on Surrogate Data.

Shohei Noguchi, Yutaka Nakamura, Yuya Okadome

Proceedings of the HCI International 2024 Posters, 2024

2023

Extracting Feature Space for Synchronizing Behavior in an Interaction Scene Using Unannotated Data.

Yuya Okadome, Yutaka Nakamura

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022

Adversarial data-selection based work-hours estimation method on a small dataset in a logistics center.

Yuya Okadome, Toshiko Aizono

Comput. Ind. Eng., 2022

2020

A mobile dual-arm manipulation robot system for stocking and disposing of items in a convenience store by using universal vacuum grippers for grasping items.

Ryo Sakai, Shinichi Katsumata, Takahiro Miki, Taiki Yano, Wenpeng Wei, Yuya Okadome, Nobuhiro Chihara, Nobutaka Kimura, Yusuke Nakai, Isamu Matsuo, Toshihiko Shimizu

Adv. Robotics, 2020

2019

Demand-Prediction Architecture for Distribution Businesses Based on Multiple RNNs with Alternative Weight Update.

Yuya Okadome, Wenpeng Wei, Ryo Sakai, Toshiko Aizono

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2017

A confidence-based roadmap using Gaussian process regression.

Yuya Okadome, Yutaka Nakamura, Hiroshi Ishiguro

Auton. Robots, 2017

Parallel-Pathway Generator for Generative Adversarial Networks to Generate High-Resolution Natural Images.

Yuya Okadome, Wenpeng Wei, Toshiko Aizono

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Study on a Pneumatically Actuated Robot for Simulating Evolutionary Developmental Process of Musculoskeletal Structures.

Hideyuki Ryu, Yoshihiro Nakata, Yuya Okadome, Yutaka Nakamura, Hiroshi Ishiguro

J. Robotics Mechatronics, 2016

2015

HUMA: A human-like musculoskeletal robot platform for physical interaction studies.

Yuya Okadome, Yutaka Nakamura, Kenji Urai, Yoshihiro Nakata, Hiroshi Ishiguro

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014

Predictive control method for a redundant robot using a non-parametric predictor.

Yuya Okadome, Yutaka Nakamura, Hiroshi Ishiguro

Adv. Robotics, 2014

Estimation of physical interaction between a musculoskeletal robot and its surroundings.

Kenji Urai, Yuya Okadome, Yoshihiro Nakata, Yutaka Nakamura, Hiroshi Ishiguro

Artif. Life Robotics, 2014

Adaptive LSH based on the particle swarm method with the attractor selection model for fast approximation of Gaussian process regression.

Yuya Okadome, Kenji Urai, Yutaka Nakamura, Tetsuya Yomo, Hiroshi Ishiguro

Artif. Life Robotics, 2014

Confidence-based roadmap using Gaussian process regression for a robot control.

Yuya Okadome, Yutaka Nakamura, Kenji Urai, Yoshihiro Nakata, Hiroshi Ishiguro

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013

Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data.

Yuya Okadome, Yutaka Nakamura, Yumi Shikauchi, Shin Ishii, Hiroshi Ishiguro

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013