Liam Paull

収録論文 39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

• Scaling Self-Play for End-to-End Driving
  2026/6/1
• 3D Scene Graphs: Open Challenges and Future Directions
  2026/6/1
• FlowMaps: Modeling Long-Term Multimodal Object Dynamics with Flow Matching
  2026/6/1
• SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration
  2026/6/1
• PerceptTwin: Semantic Scene Reconstruction for Iterative LLM Planning and Verification
  2026/6/1
• Predictive Spatio-Temporal Scene Graphs for Semi-Static Scenes
  2026/5/1
• Constrained Group Relative Policy Optimization
  2026/2/1
• Dynamic Objects Relocalization in Changing Environments with Flow Matching
  2025/9/1
• Agentic Scene Policies: Unifying Space, Semantics, and Affordances for Robot Action
  2025/9/1
• Perpetua: Multi-Hypothesis Persistence Modeling for Semi-Static Environments
  2025/7/1
• Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes
  2025/6/1
• Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving
  2025/6/1
• OpenLex3D: A Tiered Evaluation Benchmark for Open-Vocabulary 3D Scene Representations
  2025/3/1
• Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
  2025/3/1
• The Bare Necessities: Designing Simple, Effective Open-Vocabulary Scene Graphs
  2024/12/1
• The Harmonic Exponential Filter for Nonparametric Estimation on Motion Groups
  2024/8/1
• A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms
  2024/8/1
• CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
  2024/3/1
• ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning
  2023/9/1
• One-4-All: Neural Potential Fields for Embodied Navigation
  2023/3/1
• ConceptFusion: Open-set Multimodal 3D Mapping
  2023/2/1
• NeurIPS 2022 Competition: Driving SMARTS
  2022/11/1
• TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
  2022/7/1
• Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers
  2022/3/1
• Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  2022/1/1
• Lifelong Topological Visual Navigation
  2021/10/1
• On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents
  2021/9/1
• $f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
  2021/9/1
• gradSim: Differentiable simulation for system identification and visuomotor control
  2021/4/1
• Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
  2020/9/1
• Generating Automatic Curricula via Self-Supervised Active Domain Randomization
  2020/2/1
• gradSLAM: Automagically differentiable SLAM
  2019/10/1
• Active Domain Randomization
  2019/4/1
• The AI Driving Olympics at NeurIPS 2018
  2019/3/1
• Deep Active Localization
  2019/3/1
• A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
  2018/10/1
• Geometric Consistency for Self-Supervised End-to-End Visual Odometry
  2018/4/1
• SLAM with Objects using a Nonparametric Pose Graph
  2017/4/1
• Information-based Active SLAM via Topological Feature Graphs
  2015/9/1