Masayoshi Tomizuka

Masayoshi Tomizuka

University of California, Berkeley

H-index: 103

North America-United States

About Masayoshi Tomizuka

Masayoshi Tomizuka, With an exceptional h-index of 103 and a recent h-index of 57 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of mechanical engineering, dynamic systems, control, mechatronics.

His recent articles reflect a diverse array of research interests and contributions to the field:

PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models

PNAS-MOT: Multi-Modal Object Tracking With Pareto Neural Architecture Search

RoadBEV: Road Surface Reconstruction in Bird's Eye View

Residual Q-Learning: Offline and Online Policy Customization without Value

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving

Q-slam: Quadric representations for monocular slam

Efficient Reinforcement Learning of Task Planners for Robotic Palletization through Iterative Action Masking Learning

Towards the Next Level of Vehicle Automation through Cooperative Driving: A Roadmap from Planning and Control Perspective

Masayoshi Tomizuka Information

University

Position

Mechaniccal Engineering

Citations(all)

47948

Citations(since 2020)

16233

Cited By

37071

hIndex(all)

103

hIndex(since 2020)

57

i10Index(all)

705

i10Index(since 2020)

339

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Masayoshi Tomizuka Skills & Research Interests

mechanical engineering

dynamic systems

control

mechatronics

Top articles of Masayoshi Tomizuka

Title

Journal

Author(s)

Publication Date

PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models

arXiv preprint arXiv:2402.16836

Dingkun Guo

Yuqi Xiang

Shuqi Zhao

Xinghao Zhu

Masayoshi Tomizuka

...

2024/2/26

PNAS-MOT: Multi-Modal Object Tracking With Pareto Neural Architecture Search

IEEE Robotics and Automation Letters

Chensheng Peng

Zhaoyu Zeng

Jinling Gao

Jundong Zhou

Masayoshi Tomizuka

...

2024/3/20

RoadBEV: Road Surface Reconstruction in Bird's Eye View

arXiv preprint arXiv:2404.06605

Tong Zhao

Lei Yang

Yichen Xie

Mingyu Ding

Masayoshi Tomizuka

...

2024/4/9

Residual Q-Learning: Offline and Online Policy Customization without Value

Advances in Neural Information Processing Systems

Chenran Li

Chen Tang

Haruki Nishimura

Jean Mercat

Masayoshi Tomizuka

...

2024/2/13

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving

arXiv preprint arXiv:2402.15583

Yichen Xie

Hongge Chen

Gregory P Meyer

Yong Jae Lee

Eric M Wolff

...

2024/2/23

Q-slam: Quadric representations for monocular slam

arXiv preprint arXiv:2403.08125

Chensheng Peng

Chenfeng Xu

Yue Wang

Mingyu Ding

Heng Yang

...

2024/3/12

Efficient Reinforcement Learning of Task Planners for Robotic Palletization through Iterative Action Masking Learning

arXiv preprint arXiv:2404.04772

Zheng Wu

Yichuan Li

Wei Zhan

Changliu Liu

Yun-Hui Liu

...

2024/4/7

Towards the Next Level of Vehicle Automation through Cooperative Driving: A Roadmap from Planning and Control Perspective

Haoran Wang

Yongwei Feng

Yonglin Tian

Ziran Wang

Jia Hu

...

2024/2/8

BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay

arXiv preprint arXiv:2402.14194

Catherine Weaver

Chen Tang

Ce Hao

Kenta Kawamoto

Masayoshi Tomizuka

...

2024/2/22

DrPlanner: Diagnosis and Repair of Motion Planners Using Large Language Models

arXiv preprint arXiv:2403.07470

Yuanfei Lin

Chenran Li

Mingyu Ding

Masayoshi Tomizuka

Wei Zhan

...

2024/3/12

Data-Driven Linear Quadratic Optimization for Controller Synthesis With Structural Constraints

IEEE Transactions on Cybernetics

Jun Ma

Zilong Cheng

Xiaocong Li

Wenxin Wang

Masayoshi Tomizuka

...

2023/1/25

Pessimistic offline reinforcement learning system and method

2024/2/1

Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach

Juanwu Lu

Wei Zhan

Masayoshi Tomizuka

Yeping Hu

2024/4/18

Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning

IEEE Robotics and Automation Letters

Ce Hao

Catherine Weaver

Chen Tang

Kenta Kawamoto

Masayoshi Tomizuka

...

2024/2/21

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts

arXiv preprint arXiv:2403.06041

Zhuo Xu

Rui Zhou

Yida Yin

Huidong Gao

Masayoshi Tomizuka

...

2024/3/9

Joint Pedestrian Trajectory Prediction through Posterior Sampling

arXiv preprint arXiv:2404.00237

Haotian Lin

Yixiao Wang

Mingxiao Huo

Chensheng Peng

Zhiyuan Liu

...

2024/3/30

Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving

arXiv preprint arXiv:2401.15315

Zhiyu Huang

Chen Tang

Chen Lv

Masayoshi Tomizuka

Wei Zhan

2024/1/27

The Feasibility of Constrained Reinforcement Learning Algorithms: A Tutorial Study

Yujie Yang

Zhilong Zheng

Shengbo Eben Li

Masayoshi Tomizuka

Changliu Liu

2024/4/15

Depth-aware Volume Attention for Texture-less Stereo Matching

arXiv preprint arXiv:2402.08931

Tong Zhao

Mingyu Ding

Wei Zhan

Masayoshi Tomizuka

Yintao Wei

2024/2/14

Contact-Implicit Model Predictive Control for Dexterous In-hand Manipulation: A Long-Horizon and Robust Approach

arXiv preprint arXiv:2402.18897

Yongpeng Jiang

Mingrui Yu

Xinghao Zhu

Masayoshi Tomizuka

Xiang Li

2024/2/29

See List of Professors in Masayoshi Tomizuka University(University of California, Berkeley)