Tomizuka, Masayoshi

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Sun, P., Zhang, R., Jiang, Y., Kong, T., Xu, C., Zhan, W., Tomizuka, M., Li, L., Yuan, Z., Wang, C., et al. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,617

RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement

Shin, K., Kwon, Y. P., & Tomizuka, M. (2019) · 2019 IEEE Intelligent Vehicles Symposium (IV)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 221

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 210

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 111

Gait phase analysis based on a Hidden Markov Model

Bae, J., & Tomizuka, M. (2011) · Mechatronics

Gait Recognition and AnalysisProsthetics and Rehabilitation Robotics

Cited by 106

A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning

Sun, L., Peng, C., Zhan, W., & Tomizuka, M. (2018) · Volume 3: Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control

Autonomous Vehicle Technology and SafetyVehicle Dynamics and Control Systems

Cited by 88

Fusing Bird’s Eye View LIDAR Point Cloud and Front View Camera Image for 3D Object Detection

Wang, Z., Zhan, W., & Tomizuka, M. (2018) · 2018 IEEE Intelligent Vehicles Symposium (IV)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 81

Online Learning of Unknown Dynamics for Model-Based Controllers in Legged Locomotion

Sun, Y., Ubellacker, W. L., Ma, W.-L., Zhang, X., Wang, C., Csomay-Shanklin, N. V., Tomizuka, M., Sreenath, K., & Ames, A. D. (2021) · IEEE Robotics and Automation Letters

Robotic Locomotion and ControlReinforcement Learning in Robotics

Cited by 54

Generalizable Long-Horizon Manipulations with Large Language Models

Zhou, H., Ding, M., Peng, W., Tomizuka, M., Shao, L., & Gan, C. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 4

RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning

Chen, L. Y., Xu, C., Dharmarajan, K., Irshad, M. Z., Cheng, R., Keutzer, K., Tomizuka, M., Vuong, Q., & Goldberg, K. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Wang, Y., Zhang, Y., Huo, M., Tian, R., Zhang, X., Xie, Y., Xu, C., Ji, P., Zhan, W., Ding, M., et al. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Wang, Q., Ke, J., Tomizuka, M., Chen, Y., Keutzer, K., & Xu, C. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0