Virtual Reality for Consensus Building: Case Studies. - Thea Lorentzen; Yoshihiro Kobayashi; Yuji Ito (Smart Graphics, 2009)

Slippage Degree Estimation by Using Vision-Based Tactile Sensor for Dexterous Handling. - Yuji Ito; Youngwoo Kim; Goro Obinata (SyRoCo, 2009)

Shape sensing by vision-based tactile sensor for dexterous handling of robot hands. - Yuji Ito; Youngwoo Kim; Chikara Nagai; Goro Obinata (CASE, 2010)

Acquisition of tactile information by vision-based tactile sensor for dexterous handling of robot hands. - Yuji Ito; Youngwoo Kim; Chikara Nagai; Goro Obinata (IROS, 2010)

Vision-Based Tactile Sensing and Shape Estimation Using a Fluid-Type Touchpad. - Yuji Ito; Youngwoo Kim; Chikara Nagai; Goro Obinata (IEEE Trans Autom. Sci. Eng., 2012)

Multi-axis force measurement based on vision-based fluid-type hemispherical tactile sensor. - Yuji Ito; Youngwoo Kim; Goro Obinata (IROS, 2013)

Driver steering model based on globally optimal model predictive control. - Yuji Ito; Fumiko Kubota; Tetsuo Kurahashi (SMC, 2014)

Contact Region Estimation Based on a Vision-Based Tactile Sensor Using a Deformable Touchpad. - Yuji Ito; Youngwoo Kim; Goro Obinata (Sensors, 2014)

Development of Autonomous Anti-Disaster Base Station by Combination of Satellite and Wireless Networks. - Hiroaki Yuze; Shinichi Nabeta; Yuji Ito (AINA Workshops, 2015)

A unified approach of control and identification for optimal control of non-linear systems. - Yuji Ito; Kenji Fujimoto; Yukihiro Tadokoro; Takayoshi Yoshimura (ACC, 2015)

On linear solutions to a class of risk sensitive control for linear systems with stochastic parameters. - Yuji Ito; Kenji Fujimoto; Yukihiro Tadokoro; Takayoshi Yoshimura (CDC, 2015)

Improvement of Autonomous Anti-disaster Base Station by Combination of Satellite and Wireless Networks. - Hiroaki Yuze; Shinichi Nabeta; Yuji Ito; Hiroshi Kosaka; Yoshitaka Shibata (AINA Workshops, 2016)

On linear solutions to a class of risk sensitive control for linear systems with stochastic parameters: Infinite time horizon case. - Yuji Ito; Kenji Fujimoto; Yukihiro Tadokoro; Takayoshi Yoshimura (ACC, 2016)

On stochastic optimal control for linear systems with robust stability. - Yuji Ito; Kenji Fujimoto; Yukihiro Tadokoro; Takayoshi Yoshimura (CDC, 2016)

On Gaussian Kernel-based Hamilton-Jacobi-Bellman Equations for Nonlinear Optimal Control. - Yuji Ito; Kenji Fujimoto; Takayoshi Yoshimura; Yukihiro Tadokoro (ACC, 2018)

Multi-vehicle Coordination on Merging Roads Based on Pseudo-perturbation-based Broadcast Control. - Yuji Ito; Md. Abdus Samad Kamal; Takayoshi Yoshimura; Shun-ichi Azuma (ACC, 2018)

On Optimal Control Based on Parametric Gradient Approximations for Nonlinear Systems with Stochastic Parameters. - Yuji Ito; Kenji Fujimoto; Yukihiro Tadokoro (ACC, 2019)

Sampling-Based Stability Evaluation with Second-Order Margins for Unknown Systems with Gaussian Processes. - Yuji Ito; Kenji Fujimoto; Yukihiro Tadokoro (CDC, 2019)

Stochastic Optimal Control to Minimize the Impact of Manufacturing Variations on Nanomechanical Systems. - Yuji Ito; Keita Funayama; Jun Hirotani; Yutaka Ohno; Yukihiro Tadokoro (IEEE Access, 2019)

Risk-Sensitive Linear Control for Systems With Stochastic Parameters. - Yuji Ito; Kenji Fujimoto; Yukihiro Tadokoro; Takayoshi Yoshimura (IEEE Trans. Autom. Control., 2019)

Coordination of Connected Vehicles on Merging Roads Using Pseudo-Perturbation-Based Broadcast Control. - Yuji Ito; Md. Abdus Samad Kamal; Takayoshi Yoshimura; Shun-ichi Azuma (IEEE Trans. Intell. Transp. Syst., 2019)

On Design of Stabilizing Controllers Using Compression Operators for Linear Systems with Time-Varying and Time-Invariant Stochastic Parameters. - Yuji Ito; Kenji Fujimoto (CDC, 2020)

Kernel-Based Hamilton-Jacobi Equations for Data-Driven Optimal and H-Infinity Control. - Yuji Ito; Kenji Fujimoto; Yukihiro Tadokoro (IEEE Access, 2020)

Pseudo-perturbation-based broadcast control of multi-agent systems. - Yuji Ito; Md. Abdus Samad Kamal; Takayoshi Yoshimura; Shun-ichi Azuma (Autom., 2020)

On Optimal Control with Polynomial Cost Functions for Linear Systems with Time-Invariant Stochastic Parameters. - Yuji Ito; Kenji Fujimoto (ACC, 2021)

Model Predictive Mean Field Games for Controlling Multi-Agent Systems. - Daisuke Inoue; Yuji Ito; Takahito Kashiwabara; Norikazu Saito; Hiroaki Yoshida (SMC, 2021)

Simple Design on Nanoscale Receivers Using CNT Cantilevers. - Yuji Ito; Yukihiro Tadokoro (IEEE Access, 2021)

Optimal Transport-Based Coverage Control for Swarm Robot Systems: Generalization of the Voronoi Tessellation-Based Method. - Daisuke Inoue; Yuji Ito; Hiroaki Yoshida (IEEE Control. Syst. Lett., 2021)

A Fictitious-play Finite-difference Method for Linearly Solvable Mean Field Games. - Daisuke Inoue; Yuji Ito; Takahito Kashiwabara; Norikazu Saito; Hiroaki Yoshida (CoRR, 2022)

Kernel-Based Hamilton-Jacobi Equations for Data-Driven Optimal Control: The General Case. - Yuji Ito; Kenji Fujimoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

Convergence Analysis of the Upwind Difference Methods for Hamilton-Jacobi-Bellman Equations. - Daisuke Inoue; Yuji Ito; Takahito Kashiwabara; Norikazu Saito; Hiroaki Yoshida (CoRR, 2023)

High-Order Mean and Moment Exponential Stability Analysis Using Elimination and Duplication Matrices. - Yuji Ito; Kenji Fujimoto (IEEE Control. Syst. Lett., 2023)

ScalarDB: Universal Transaction Manager for Polystores. - Hiroyuki Yamada; Toshihiro Suzuki; Yuji Ito; Jun Nemoto (Proc. VLDB Endow., 2023)

Partially Centralized Model-Predictive Mean Field Games for controlling multi-agent systems. - Daisuke Inoue; Yuji Ito; Takahito Kashiwabara; Norikazu Saito; Hiroaki Yoshida (IFAC J. Syst. Control., 2023)

Dirichlet Logistic Gaussian Processes for Evaluation of Black-Box Stochastic Systems under Complex Requirements. - Ryohei Oura; Yuji Ito (ECAI, 2024)

Theoretical Analysis of Heteroscedastic Gaussian Processes with Posterior Distributions. - Yuji Ito (CoRR, 2024)

Adaptive Passification of Unknown Input-Affine Nonlinear Systems. - Tatsuya Miyano; Ryotaro Shima; Yuji Ito (IEEE Control. Syst. Lett., 2024)

Contraction Analysis of Continuation Method for Suboptimal Model Predictive Control. - Ryotaro Shima; Yuji Ito; Tatsuya Miyano (IEEE Control. Syst. Lett., 2024)

Stochastic Optimal Linear Control for Generalized Cost Functions With Time-Invariant Stochastic Parameters. - Yuji Ito; Kenji Fujimoto; Yukihiro Tadokoro (IEEE Trans. Cybern., 2024)

Theoretical Analysis of Heteroscedastic Gaussian Processes with Posterior Distributions*. - Yuji Ito (ACC, 2025)

Discrete Distributionally Robust Optimal Control with Explicitly Constrained Optimization. - Yuma Shida; Yuji Ito (ACC, 2025)

Probability-Raising Causality for Uncertain Parametric Markov Decision Processes with PAC Guarantees. - Ryohei Oura; Yuji Ito (UAI, 2025)

Weighted stochastic Riccati equations for generalization of linear optimal control. - Yuji Ito; Kenji Fujimoto; Yukihiro Tadokoro (Autom., 2025)

Stabilizing Optimal Control for Nonlinear Stochastic Systems: A Parametric Gradient-Based Approach. - Yuji Ito; Kenji Fujimoto (CoRR, 2025)

Second Moment Polytopic Systems: Generalization of Uncertain Stochastic Linear Dynamics. - Yuji Ito; Kenji Fujimoto (IEEE Trans. Autom. Control., 2025)

An Uncertainty-Aware, Mesh-Free Numerical Method for Kolmogorov PDEs. - Daisuke Inoue; Yuji Ito; Takahito Kashiwabara; Norikazu Saito; Hiroaki Yoshida (J. Sci. Comput., 2025)