Tsun-Hsuan Wang

収録論文 28本 ・ フィジカルAI/ロボット学習

※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

• GS-Agent: Creating 4D Physical Worlds With Generative Simulation
  2026/7/1
• Action Images: End-to-End Policy Learning via Multiview Video Generation
  2026/4/1
• PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement
  2026/2/1
• See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection
  2026/1/1
• ReGen: Generative Robot Simulation via Inverse Design
  2025/11/1
• RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills
  2025/6/1
• Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling
  2025/2/1
• UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments
  2024/11/1
• Embodied Red Teaming for Auditing Robotic Foundation Models
  2024/11/1
• Flex: End-to-End Text-Instructed Visual Navigation from Foundation Model Features
  2024/10/1
• ABNet: Attention BarrierNet for Safe and Scalable Robot Learning
  2024/6/1
• Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models
  2024/6/1
• Probing Multimodal LLMs as World Models for Driving
  2024/5/1
• Grounding Language Plans in Demonstrations Through Counterfactual Perturbations
  2024/3/1
• RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
  2023/11/1
• DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
  2023/11/1
• Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models
  2023/10/1
• SafeDiffuser: Safe Planning with Diffusion Probabilistic Models
  2023/6/1
• Towards Generalist Robots: A Promising Paradigm via Generative Simulation
  2023/5/1
• Learning Stability Attention in Vision-based End-to-end Driving Policies
  2023/4/1
• SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments
  2023/3/1
• Towards Cooperative Flight Control Using Visual-Attention
  2022/12/1
• Interpreting Neural Policies with Disentangled Tree Representations
  2022/10/1
• On the Forward Invariance of Neural ODEs
  2022/10/1
• Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap
  2022/10/1
• Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving
  2022/3/1
• Learning Interactive Driving Policies via Data-driven Simulation
  2021/11/1
• VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
  2021/11/1