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; et al. (AIM, 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 001 (AIM, 2023)

Experience-based Problem Solver for Robot System Design. - Jiaxi Lu; Ryota Takamido; Jun Ota 001 (ICARA, 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 001 (ICARA, 2023)

Learning Robot Motion in a Cluttered Environment Using Unreliable Human Skeleton Data Collected by a Single RGB Camera. - Ryota Takamido; Jun Ota 001 (IEEE Robotics Autom. Lett., 2023)

Enhancing Non-Expert User Interaction with Robots: An Advanced Interface for Error Handling. - Johann Arthur Darboven; Ryota Takamido; Jun Ota 001 (AIM, 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 001 (AIM, 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 001 (AIM, 2024)

Action Recognition and Subsequent In-Depth Analysis for Improving the Time Efficiency of Bimanual Industrial Work. - Ryota Takamido; Jun Ota 001 (IEEE Access, 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 001; Hiroki Nakamoto (CoRR, 2024)

How to arrange the robotic environment? Leveraging experience in both motion planning and environment optimization. - Jiaxi Lu; Ryota Takamido; Yusheng Wang 001; Jun Ota 001 (Frontiers Robotics AI, 2024)

PassAI: An Explainable Machine Learning Framework for Predicting Soccer Pass Outcomes Using Multimodal Match Data. - Ryota Takamido; Jun Ota 001; Hiroki Nakamoto (IEEE Access, 2025)

PassAI: explainable artificial intelligence algorithm for soccer pass analysis using multimodal information resources. - Ryota Takamido; Jun Ota 001; Hiroki Nakamoto (CoRR, 2025)

Experience-based Optimal Motion Planning Algorithm for Solving Difficult Planning Problems Using a Limited Dataset. - Ryota Takamido; Jun Ota 001 (IEEE Robotics Autom. Lett., 2025)