A Kinematic Analysis of Locomotive Cooperation for Two Mobile Robots along a General Wavy Road. - Fumio Hara; Yuji Yasui; Toshiyuki Aritake (ICRA, 1995)

Cooperated control of multi stage injection system for direct injection gasoline engine. - Ikue Kawasumi; Yuji Yasui; Kosuke Higashitani; Hisashi Ito (ACC, 2006)

The Application of Delta-Sigma Modulation to A Continuously Variable Valve Lift Engine. - Yuji Yasui; Kanako Shimojo; Kosuke Higashitani (CCA, 2007)

Nonlinear Compensation using Bypassed Delta-Sigma Modulation for Variable Valve Actuation. - Kanako Shimojo; Yuji Yasui (ACC, 2007)

A new concept traction control for F-1 racing car. - Yuji Yasui; Ikue Kawasumi; Shinya Nakano; Takahide Mizuno; Yoshihisa Iwaki (Int. J. Model. Identif. Control., 2012)

New Urea-SCR Control System for Super Clean Diesel. - Hisao Haga; Eiji Hashimoto; Koichi Nakajima; Hideki Matsunaga; Yuji Yasui (J. Robotics Mechatronics, 2015)

Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning. - Shota Ohnishi; Eiji Uchibe; Yotaro Yamaguchi; Kosuke Nakanishi; Yuji Yasui; Shin Ishii (Frontiers Neurorobotics, 2019)

Autonomous Emergency Steering Using Deep Reinforcement Learning For Advanced Driver Assistance System. - Misako Yoshimura; Gakuyo Fujimoto; Abinav Kaushik; Bharat Kumar Padi; Matthew Dennison; Ishaan Sood; Kinsuk Sarkar; Abdul Muneer; Amit More; Masamitsu Tsuchiya; Satoru Araki; Anil Hebber; et al. (SICE, 2020)

Automated Driving in Complex Real-World Scenarios using a Scalable Risk-Based Behavior Generation Framework. - Malte Probst; Raphael Wenzel; Tim Puphal; Misa Komuro; Thomas H. Weisswange; Nico Steinhardt; Bram Bolder; Benedict Flade; Yosuke Sakamoto; Yuji Yasui; Julian Eggert (ITSC, 2021)

Deep Adversarial Reinforcement Learning With Noise Compensation by Autoencoder. - Kohei Ohashi; Kosuke Nakanishi; Wataru Sasaki; Yuji Yasui; Shin Ishii (IEEE Access, 2021)

Deep Adversarial Reinforcement Learning Method to Generate Control Policies Robust Against Worst-Case Value Predictions. - Kohei Ohashi; Kosuke Nakanishi; Yuji Yasui; Shin Ishii (IEEE Access, 2023)

Channel-wise Motion Features for Efficient Motion Segmentation. - Riku Inoue; Masamitsu Tsuchiya; Yuji Yasui (IROS, 2024)

Mobile Alert System Using Lane Detection Based on Vehicle Clustering. - Fumiaki Sato; Takamasa Koshizen; Kazuhiko Yamakawa; Yuji Yasui (IS, 2024)

Vision-based hybrid object tracking for autonomous vehicles. - Hsiu-Min Chuang; Masamitsu Tsuchiya; Satoru Araki; Riku Inoue; Tokitomo Ariyoshi; Yuji Yasui (IV, 2024)

Orthogonal Adversarial Deep Reinforcement Learning for Discrete- and Continuous-Action Problems. - Kohei Ohashi; Kosuke Nakanishi; Nao Goto; Yuji Yasui; Shin Ishii (IEEE Access, 2024)

Robust off-policy Reinforcement Learning via Soft Constrained Adversary. - Kosuke Nakanishi; Akihiro Kubo; Yuji Yasui; Shin Ishii (CoRR, 2024)

Efficient micro-mobility path planning without using high-definition maps. - Koki Aizawa; Yunosuke Kuramitsu; Hideki Matsunaga; Yuji Yasui (Adv. Robotics, 2024)

Decoupled PROB: Decoupled Query Initialization Tasks and Objectness-Class Learning for Open World Object Detection. - Riku Inoue; Masamitsu Tsuchiya; Yuji Yasui (WACV, 2025)

Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation. - Kosuke Nakanishi; Akihiro Kubo; Yuji Yasui; Shin Ishii (CoRR, 2025)