| 2023 | IROS | Whole-Body Torque Control Without Joint Position Control Using Vibration-Suppressed Friction Compensation for Bipedal Locomotion of Gear-Driven Torque Sensorless Humanoid. | Takuma Hiraoka, Shimpei Sato, Naoki Hiraoka, Annan Tang, Kunio Kojima, Kei Okada, Masayuki Inaba, Koji Kawasaki |
| 2023 | IROS | Humanoid Walking System with CNN-Based Uneven Terrain Recognition and Landing Control with Swing-Leg Velocity Constraints. | Shimpei Sato, Kunio Kojima, Naoki Hiraoka, Kei Okada, Masayuki Inaba |
| 2022 | IROS | Robust Humanoid Walking System Considering Recognized Terrain and Robots' Balance. | Shimpei Sato, Yuta Kojio, Yohei Kakiuchi, Kunio Kojima, Kei Okada, Masayuki Inaba |
| 2021 | IROS | Drop Prevention Control for Humanoid Robots Carrying Stacked Boxes. | Shimpei Sato, Yuta Kojio, Kunio Kojima, Fumihito Sugai, Yohei Kakiuchi, Kei Okada, Masayuki Inaba |
| 2020 | FCCM | Tiny On-Chip Memory Realization of Weight Sparseness Split-CNNs on Low-end FPGAs. | Akira Jinguji, Shimpei Sato, Hiroki Nakahara |
| 2019 | FPGA | An FPGA-based Fine Tuning Accelerator for a Sparse CNN. | Hiroki Nakahara, Akira Jinguji, Masayuki Shimoda, Shimpei Sato |
| 2019 | FPL | FPGA-Based Training Accelerator Utilizing Sparseness of Convolutional Neural Network. | Hiroki Nakahara, Youki Sada, Masayuki Shimoda, Kouki Sayama, Akira Jinguji, Shimpei Sato |
| 2019 | ISCAS | A Low Area Overhead Design for High-Performance General-Synchronous Circuits with Speculative Execution. | Shimpei Sato, Eijiro Sassa, Yuta Ukon, Atsushi Takahashi |
| 2018 | FPGA | A Lightweight YOLOv2: A Binarized CNN with A Parallel Support Vector Regression for an FPGA. | Hiroki Nakahara, Haruyoshi Yonekawa, Tomoya Fujii, Shimpei Sato |
| 2018 | FPL | A Demonstration of FPGA-Based You Only Look Once Version2 (YOLOv2). | Hiroki Nakahara, Masayuki Shimoda, Shimpei Sato |
| 2018 | FPL | Demonstration of Object Detection for Event-Driven Cameras on FPGAs and GPUs. | Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara |
| 2017 | FPL | A fully connected layer elimination for a binarizec convolutional neural network on an FPGA. | Hiroki Nakahara, Tomoya Fujii, Shimpei Sato |
| 2015 | FCCM | Enabling Fast and Accurate Emulation of Large-Scale Network on Chip Architectures on a Single FPGA. | Thiem Van Chu, Shimpei Sato, Kenji Kise |
| 2015 | FPL | Ultra-fast NoC emulation on a single FPGA. | Thiem Van Chu, Shimpei Sato, Kenji Kise |
| 2015 | OOPSLA | Exana: an execution-driven application analysis tool for assisting productive performance tuning. | Yukinori Sato, Shimpei Sato, Toshio Endo |
| 2015 | OOPSLA | Investigating potential performance benefits of memory layout optimization based on roofline model. | Shimpei Sato, Yukinori Sato, Toshio Endo |
| 2009 | PDCAT | A Study of an Infrastructure for Research and Development of Many-Core Processors. | Koh Uehara, Shimpei Sato, Takefumi Miyoshi, Kenji Kise |