Data-oriented network aggregation for large-scale network analysis using probe-vehicle trajectories. - Shohei Yasuda; Takamasa Iryo; Katsuya Sakai; Kazuya Fukushima (ITSC, 2019)

Traffic Density Based Travel-Time Prediction With GCN-LSTM. - Hiroki Katayama; Shohei Yasuda; Takashi Fuse (ITSC, 2022)

Comparative Validation of Spatial Interpolation Methods for Traffic Density for Data-driven Travel-time Prediction. - Hiroki Katayama; Shohei Yasuda; Takashi Fuse (Int. J. Intell. Transp. Syst. Res., 2022)

Correction to: Comparative Validation of Spatial Interpolation Methods for Traffic Density for Data‑driven Travel‑time Prediction. - Hiroki Katayama; Shohei Yasuda; Takashi Fuse (Int. J. Intell. Transp. Syst. Res., 2022)

A Finding Place Method Considering distance between Robots. - Ryota Tanabe; Shohei Yasuda; Kosuke Nakajima; Wataru Uemura (GCCE, 2023)

About an Error Correcting Method of ArUco Markers Considering Row Data for a Mobile Robot. - Kosuke Nakajima; Takeru Nagashima; Yuka Komori; Shohei Yasuda; Ryota Tanabe; Wataru Uemura (GCCE, 2024)

Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model. - Shohei Yasuda; Yuka Komori; Kosuke Nakajima; Ryota Tanabe; Wataru Uemura; Niclas Walter (GCCE, 2024)

Trajectory Data-Driven Network Representation for Traffic State Prediction using Deep Learning. - Shohei Yasuda; Hiroki Katayama; Wataru Nakanishi; Takamasa Iryo (Int. J. Intell. Transp. Syst. Res., 2024)

From Production Logistics to Smart Manufacturing: The Vision for a New RoboCup Industrial League. - Supun Dissanayaka; Alexander Ferrein; Till Hofmann; Kosuke Nakajima; Mario Sanz-Lopez; Jesus Savage; Daniel Swoboda; Matteo Tschesche; Wataru Uemura; Tarik Viehmann; Shohei Yasuda (CoRR, 2025)