Ryota Takamido

According to our database, Ryota Takamido authored at least 19 papers between 2023 and 2026.

Collaborative distances:

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

2026

Learning Task Constraints and Robot Motion From Unreliable Human Skeleton Data Using Human Action Recognition Algorithm.

Ryota Takamido, Jun Ota

IEEE Trans. Cogn. Dev. Syst., June, 2026

Cross-individual generalizability of machine learning models for ball speed prediction in baseball pitching.

Ryota Takamido, Chiharu Suzuki, Hiroki Nakamoto

CoRR, May, 2026

Data-driven modelling of low-dimensional dynamical structures underlying complex full-body human movement.

Ryota Takamido, Chiharu Suzuki, Hiroki Nakamoto

CoRR, February, 2026

A Task Allocation Framework for Field-Based Mobile Machines with Algorithm Selection and Hyperparameter Tuning.

Kenta Hayakawa, Shunsuke Miyashita, Nagahiro Fujiwara, Ryota Yoshiuchi, Jiaxi Lu, Ryota Takamido, Jun Ota

J. Robotics Mechatronics, 2026

2025

Experience-based Optimal Motion Planning Algorithm for Solving Difficult Planning Problems Using a Limited Dataset.

Ryota Takamido, Jun Ota

IEEE Robotics Autom. Lett., November, 2025

Personalized Motion Guidance Framework for Athlete-Centric Coaching.

Ryota Takamido, Chiharu Suzuki, Hiroki Nakamoto

CoRR, October, 2025

PassAI: explainable artificial intelligence algorithm for soccer pass analysis using multimodal information resources.

Ryota Takamido, Jun Ota, Hiroki Nakamoto

CoRR, March, 2025

PassAI: An Explainable Machine Learning Framework for Predicting Soccer Pass Outcomes Using Multimodal Match Data.

Ryota Takamido, Jun Ota, Hiroki Nakamoto

IEEE Access, 2025

2024

How to arrange the robotic environment? Leveraging experience in both motion planning and environment optimization.

Jiaxi Lu, Ryota Takamido, Yusheng Wang, Jun Ota

Frontiers Robotics AI, 2024

Understanding whole-body inter-personal dynamics between two players using neural Granger causality as the explainable AI (XAI).

Ryota Takamido, Chiharu Suzuki, Jun Ota, Hiroki Nakamoto

CoRR, 2024

Action Recognition and Subsequent In-Depth Analysis for Improving the Time Efficiency of Bimanual Industrial Work.

Ryota Takamido, Jun Ota

IEEE Access, 2024

Multi-AGV Motion Planning Using Greedy Search Algorithms and Learned Heuristics.

Sohta Kawawaki, Ayumu Goto, Kosuke Taneda, Takeshi Muranaka, Yuji Enoki, Toyokazu Kobayashi, Tomoya Hattori, Ryota Takamido, Jun Ota

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

A Versatile Task Allocation System for Agricultural Operations by Formulation with a Split Delivery Vehicle Routing Problem.

Kenta Hayakawa, Shunsuke Miyashita, Nagahiro Fujiwara, Ryota Takamido, Jun Ota

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

Enhancing Non-Expert User Interaction with Robots: An Advanced Interface for Error Handling.

Johann Arthur Darboven, Ryota Takamido, Jun Ota

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

2023

Learning Robot Motion in a Cluttered Environment Using Unreliable Human Skeleton Data Collected by a Single RGB Camera.

Ryota Takamido, Jun Ota

IEEE Robotics Autom. Lett., September, 2023

Offline Task Assignment and Motion Planning Algorithm Considering Agent's Dynamics.

Tomoaki Shimizu, Kosuke Taneda, Ayumu Goto, Tomoya Hattori, Toyokazu Kobayashi, Ryota Takamido, Jun Ota

Proceedings of the 9th International Conference on Automation, Robotics and Applications, 2023

Experience-based Problem Solver for Robot System Design.

Jiaxi Lu, Ryota Takamido, Jun Ota

Proceedings of the 9th International Conference on Automation, Robotics and Applications, 2023

Development of a Nursing Skill Training System Based on Manipulator Variable Admittance Control.

Yuhao Zhou, Ryota Takamido, Masako Kanai-Pak, Jukai Maeda, Yasuko Kitajima, Mitsuhiro Nakamura, Noriaki Kuwahara, Taiki Ogata, Jun Ota

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

Virtual Reality System using Explainable AI for Identification of Specific Expert Refinery Inspection Skills.

Hiroki Takeuchi, Ryota Takamido, Shinji Kanda, Yasushi Umeda, Hajime Asama, Seiji Kasahara, Seigo Fukumoto, Sunao Tamura, Toshiya Kato, Masahiro Korenaga, Akinobu Sasamura, Misaki Hoshi, Jun Ota

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023