Masayoshi Tomizuka
University of California, Berkeley
収録論文 216本 ・ フィジカルAI/ロボット学習
マニピュレーション
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- AdaDexGrasp: 3D視覚触覚表現融合による適応的器用把持マニピュレーション2026/8/6
視覚と触覚を統合した表現を用いて、把持計画と接触後の適応的修正を行う器用なロボットハンドの把持フレームワークを提案し、シミュレーションと実環境で成功率と汎化性を向上させた。
- Learning Physical Interaction: A Survey of Tactile- and Force-aware Robot Learning2026/8/1
- AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion2026/8/1
- RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies2026/7/1
- CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning2026/7/1
- Diagnosing Compositional Generalization in Sequential Robot Tasks2026/7/1
- DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation2026/7/1
- TEXEDO : Test Time Scaling for Controller-aware Language-conditioned Humanoid Motion Generation2026/6/1
- Scaling Nonlinear Optimization: Many Problems One GPU2026/6/1
- Learning Context-Aware Neural ODE Dynamics for Adaptive Robotic Control2026/6/1
- Multi-Camera View Scaling for Data-Efficient Robot Imitation Learning2026/4/1
- DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors2026/4/1
- CLAW: Composable Language-Annotated Whole-body Motion Generation2026/4/1
- Adaptive Linear Path Model-Based Diffusion2026/2/1
- DADP: Domain Adaptive Diffusion Policy2026/2/1
- HetroD: A High-Fidelity Drone Dataset and Benchmark for Autonomous Driving in Heterogeneous Traffic2026/2/1
- Seeing to Act, Prompting to Specify: A Bayesian Factorization of Vision Language Action Policy2025/12/1
- Fractional-order Modeling for Nonlinear Soft Actuators via Particle Swarm Optimization2025/12/1
- Bootstrap Off-policy with World Model2025/11/1
- SPACeR: Self-Play Anchoring with Centralized Reference Models2025/10/1
- VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing2025/10/1
- Everything-Grasping (EG) Gripper: A Universal Gripper with Synergistic Suction-Grasping Capabilities for Cross-Scale and Cross-State Manipulation2025/10/1
- DEXOP: A Device for Robotic Transfer of Dexterous Human Manipulation2025/9/1
- Programmable Locking Cells (PLC) for Modular Robots with High Stiffness Tunability and Morphological Adaptability2025/9/1
- Leveraging Extrinsic Dexterity for Occluded Grasping on Grasp Constraining Walls2025/7/1
- Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control2025/6/1
- R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation2025/6/1
- Robust Model-Based In-Hand Manipulation with Integrated Real-Time Motion-Contact Planning and Tracking2025/5/1
- DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning2025/5/1
- Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions2025/5/1
- Generative AI for Autonomous Driving: Frontiers and Opportunities2025/5/1
- LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation2025/4/1
- Unified Manipulability and Compliance Analysis of Modular Soft-Rigid Hybrid Fingers2025/4/1
- REMAC: Self-Reflective and Self-Evolving Multi-Agent Collaboration for Long-Horizon Robot Manipulation2025/3/1
- Prismatic-Bending Transformable (PBT) Joint for a Modular, Foldable Manipulator with Enhanced Reachability and Dexterity2025/3/1
- Few-shot Sim2Real Based on High Fidelity Rendering with Force Feedback Teleoperation2025/3/1
- Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems2025/3/1
- Physics-Aware Robotic Palletization with Online Masking Inference2025/2/1
- Global-Local Interface for On-Demand Teleoperation2025/2/1
- Testing Human-Hand Segmentation on In-Distribution and Out-of-Distribution Data in Human-Robot Interactions Using a Deep Ensemble Model2025/1/1
- GeoManip: Geometric Constraints as General Interfaces for Robot Manipulation2025/1/1
- FDPP: Fine-tune Diffusion Policy with Human Preference2025/1/1
- Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment2024/12/1
- DexH2R: Task-oriented Dexterous Manipulation from Human to Robots2024/11/1
- DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation2024/11/1
- Imagined Potential Games: A Framework for Simulating, Learning and Evaluating Interactive Behaviors2024/11/1
- Harnessing with Twisting: Single-Arm Deformable Linear Object Manipulation for Industrial Harnessing Task2024/10/1
- Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning2024/10/1
- RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning2024/9/1
- DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation2024/9/1
- Embodiment-Agnostic Action Planning via Object-Part Scene Flow2024/9/1
- Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach2024/9/1
- P2 Explore: Efficient Exploration in Unknown Cluttered Environment with Floor Plan Prediction2024/9/1
- WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving2024/7/1
- Residual-MPPI: Online Policy Customization for Continuous Control2024/7/1
- Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning2024/7/1
- MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention2024/6/1
- Underactuated Control of Multiple Soft Pneumatic Actuators via Stable Inversion2024/6/1
- NeRFs in Robotics: A Survey2024/5/1
- Efficient Reinforcement Learning of Task Planners for Robotic Palletization through Iterative Action Masking Learning2024/4/1
- Joint Pedestrian Trajectory Prediction through Posterior Sampling2024/4/1
- PNAS-MOT: Multi-Modal Object Tracking with Pareto Neural Architecture Search2024/3/1
- DBPF: A Framework for Efficient and Robust Dynamic Bin-Picking2024/3/1
- Robust In-Hand Manipulation with Extrinsic Contacts2024/3/1
- Adaptive Energy Regularization for Autonomous Gait Transition and Energy-Efficient Quadruped Locomotion2024/3/1
- Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach2024/3/1
- In-Hand Following of Deformable Linear Objects Using Dexterous Fingers with Tactile Sensing2024/3/1
- DrPlanner: Diagnosis and Repair of Motion Planners for Automated Vehicles Using Large Language Models2024/3/1
- MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts2024/3/1
- Contact-Implicit Model Predictive Control for Dexterous In-hand Manipulation: A Long-Horizon and Robust Approach2024/2/1
- PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models2024/2/1
- BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay2024/2/1
- SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries2024/1/1
- Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving2024/1/1
- Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection2023/12/1
- SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution2023/12/1
- Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks2023/12/1
- Nonlinear Modeling for Soft Pneumatic Actuators via Data-Driven Parameter Estimation2023/11/1
- Bridging the Sim-to-Real Gap with Dynamic Compliance Tuning for Industrial Insertion2023/11/1
- Generalizable whole-body global manipulation of deformable linear objects by dual-arm robot in 3-D constrained environments2023/10/1
- Optimized Design of a Soft Actuator Considering Force/Torque, Bendability, and Controllability via an Approximated Structure2023/10/1
- Frequency Domain Analysis of Nonlinear Series Elastic Actuator via Describing Function2023/10/1
- LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving2023/10/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- What Matters to You? Towards Visual Representation Alignment for Robot Learning2023/10/1
- Distributed Multi-agent Interaction Generation with Imagined Potential Games2023/10/1
- RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving2023/10/1
- Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning2023/10/1
- Adaptive Spatio-Temporal Voxels Based Trajectory Planning for Autonomous Driving in Highway Traffic Flow2023/10/1
- Long-Term Dynamic Window Approach for Kinodynamic Local Planning in Static and Crowd Environments2023/10/1
- Human-oriented Representation Learning for Robotic Manipulation2023/10/1
- Generalizable Long-Horizon Manipulations with Large Language Models2023/10/1
- Control of Soft Pneumatic Actuators with Approximated Dynamical Modeling2023/10/1
- Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration2023/9/1
- Contact-rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control2023/8/1
- Learning from Local Experience: Informed Sampling Distributions for High Dimensional Motion Planning2023/6/1
- Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework2023/6/1
- Learning Generalizable Pivoting Skills2023/5/1
- Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing2023/5/1
- A Simple Approach for General Task-Oriented Picking using Placing constraints2023/4/1
- Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation2023/3/1
- Towards Modeling and Influencing the Dynamics of Human Learning2023/1/1
- Online Learning Based Mobile Robot Controller Adaptation for Slip Reduction2023/1/1
- Continuous Trajectory Optimization via B-splines for Multi-jointed Robotic Systems2022/12/1
- Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks2022/12/1
- Outracing Human Racers with Model-based Planning and Control for Time-trial Racing2022/11/1
- Allowing Safe Contact in Robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces2022/11/1
- Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection2022/10/1
- PaCo: Parameter-Compositional Multi-Task Reinforcement Learning2022/10/1
- Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning2022/10/1
- A Coarse-to-Fine Framework for Dual-Arm Manipulation of Deformable Linear Objects with Whole-Body Obstacle Avoidance2022/9/1
- Analyzing and Enhancing Closed-loop Stability in Reactive Simulation2022/8/1
- Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving2022/7/1
- SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera2022/7/1
- Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning2022/5/1
- Long-Horizon Motion Planning via Sampling and Segmented Trajectory Optimization2022/4/1
- Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction2022/4/1
- Autonomous Vehicle Parking in Dynamic Environments: An Integrated System with Prediction and Motion Planning2022/4/1
- Robust Task Planning for Assembly Lines with Human-Robot Collaboration2022/4/1
- DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection2022/3/1
- Learning to Synthesize Volumetric Meshes from Vision-based Tactile Imprints2022/3/1
- Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction2022/3/1
- Important Object Identification with Semi-Supervised Learning for Autonomous Driving2022/3/1
- Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks2022/3/1
- Velocity Obstacle Based Risk-Bounded Motion Planning for Stochastic Multi-Agent Systems2022/2/1
- Transferable and Adaptable Driving Behavior Prediction2022/2/1
- Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments2022/1/1
- Causal-based Time Series Domain Generalization for Vehicle Intention Prediction2021/12/1
- Safe Online Gain Optimization for Variable Impedance Control2021/11/1
- Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction2021/11/1
- Dealing with the Unknown: Pessimistic Offline Reinforcement Learning2021/11/1
- Trajectory Splitting: A Distributed Formulation for Collision Avoiding Trajectory Optimization2021/11/1
- Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks2021/10/1
- Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss2021/10/1
- Iterative Imitation Policy Improvement for Interactive Autonomous Driving2021/9/1
- Cross Domain Robot Imitation with Invariant Representation2021/9/1
- Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models2021/9/1
- Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots2021/9/1
- Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting2021/9/1
- RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting2021/8/1
- Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning2021/8/1
- Automatic Construction of Lane-level HD Maps for Urban Scenes2021/7/1
- Spectral Temporal Graph Neural Network for Trajectory Prediction2021/6/1
- Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios2021/6/1
- Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units2021/6/1
- Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models2021/6/1
- Development of Soft Tactile Sensor for Force Measurement and Position Detection2021/5/1
- Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data2021/3/1
- 6-DoF Contrastive Grasp Proposal Network2021/3/1
- You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module2021/3/1
- A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding2021/3/1
- Diverse Critical Interaction Generation for Planning and Planner Evaluation2021/3/1
- Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators2021/2/1
- Practical Fractional-Order Variable-Gain Super-Twisting Control with Application to Wafer Stages of Photolithography Systems2021/2/1
- Precise Motion Control of Wafer Stages via Adaptive Neural Network and Fractional-Order Super-Twisting Algorithm2021/2/1
- Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving2021/2/1
- Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking2021/2/1
- Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks2021/2/1
- Contact Pose Identification for Peg-in-Hole Assembly under Uncertainties2021/1/1
- A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning2021/1/1
- Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data2021/1/1
- Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection2020/12/1
- COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing2020/11/1
- Prediction-Based Reachability for Collision Avoidance in Autonomous Driving2020/11/1
- Alternating Direction Method of Multipliers for Constrained Iterative LQR in Autonomous Driving2020/11/1
- IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data2020/11/1
- Learning Dense Rewards for Contact-Rich Manipulation Tasks2020/11/1
- Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data2020/10/1
- Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference2020/8/1
- Data-Driven Multi-Objective Controller Optimization for a Magnetically-Levitated Nanopositioning System2020/7/1
- Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles2020/6/1
- Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving2020/6/1
- Cascade Attribute Network: Decomposing Reinforcement Learning Control Policies using Hierarchical Neural Networks2020/5/1
- Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving2020/5/1
- Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction2020/4/1
- Inferring Spatial Uncertainty in Object Detection2020/3/1
- EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning2020/3/1
- Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network2020/2/1
- Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration2020/1/1
- Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning2020/1/1
- UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes2019/12/1
- Robust Feature-Based Point Registration Using Directional Mixture Model2019/12/1
- Multiple criteria decision-making for lane-change model2019/10/1
- INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps2019/10/1
- Online Learning in Planar Pushing with Combined Prediction Model2019/10/1
- Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving2019/8/1
- Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory2019/7/1
- Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors2019/7/1
- Behavior Planning of Autonomous Cars with Social Perception2019/5/1
- Conditional Generative Neural System for Probabilistic Trajectory Prediction2019/5/1
- Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling2019/5/1
- Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning2019/4/1
- Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios2019/4/1
- Model-free Deep Reinforcement Learning for Urban Autonomous Driving2019/4/1
- Optimization Model for Planning Precision Grasps with Multi-Fingered Hands2019/4/1
- Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety2019/3/1
- Towards Better Human Robot Collaboration with Robust Plan Recognition and Trajectory Prediction2019/3/1
- Efficient Grasp Planning and Execution with Multi-Fingered Hands by Surface Fitting2019/2/1
- Nonparametric Inverse Dynamic Models for Multimodal Interactive Robots2019/1/1
- Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control2018/12/1
- Human Motion Prediction using Semi-adaptable Neural Networks2018/10/1
- A Framework for Probabilistic Generic Traffic Scene Prediction2018/10/1
- Efficient Trajectory Optimization for Robot Motion Planning2018/10/1
- Learn the Manipulation of Deformable Objects Using Tangent Space Point Set Registration2018/10/1
- A Learning Framework for High Precision Industrial Assembly2018/9/1
- Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios2018/9/1
- Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning2018/9/1
- A Learning Framework for Robust Bin Picking by Customized Grippers2018/9/1
- Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter2018/9/1
- SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots2018/9/1
- Courteous Autonomous Cars2018/8/1
- Robot Safe Interaction System for Intelligent Industrial Co-Robots2018/8/1
- Real-Time Grasp Planning for Multi-Fingered Hands by Finger Splitting2018/4/1
- Grasp Planning for Customized Grippers by Iterative Surface Fitting2018/3/1
- Real-Time Robust Finger Gaits Planning under Object Shape and Dynamics Uncertainties2017/10/1
- The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning2017/9/1