Matthew Johnson-Roberson

収録論文 56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

• 接触前実行監視：行動条件付き潜在世界モデルによるコンタクトガード
  マニピュレーション2026/8/13

  ロボットの接触を伴う操作において、接触前に失敗を予測して動作を中断する監視システムを提案。潜在空間での世界モデルを用いて、計画された行動の結果を予測し、失敗の可能性を検出する。

• ContactGuard: Pre-Contact Execution Monitoring with Action-Conditioned Latent World Models
  2026/8/1
• Rewind-IL: Online Failure Detection and State Respawning for Imitation Learning
  2026/4/1
• Joint Flow Trajectory Optimization For Feasible Robot Motion Generation from Video Demonstrations
  2025/9/1
• Efficient Construction of Implicit Surface Models From a Single Image for Motion Generation
  2025/9/1
• Cross-Modal Instructions for Robot Motion Generation
  2025/9/1
• From Single Images to Motion Policies via Video-Generation Environment Representations
  2025/5/1
• Bi-Manual Joint Camera Calibration and Scene Representation
  2025/5/1
• GraphSeg: Segmented 3D Representations via Graph Edge Addition and Contraction
  2025/4/1
• Infinite Leagues Under the Sea: Photorealistic 3D Underwater Terrain Generation by Latent Fractal Diffusion Models
  2025/3/1
• Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity
  2025/3/1
• Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video
  2025/1/1
• Robust Bayesian Scene Reconstruction with Retrieval-Augmented Priors for Precise Grasping and Planning
  2024/11/1
• PhotoReg: Photometrically Registering 3D Gaussian Splatting Models
  2024/10/1
• SplaTraj: Camera Trajectory Generation with Semantic Gaussian Splatting
  2024/10/1
• Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation
  2024/9/1
• 3D Foundation Models Enable Simultaneous Geometry and Pose Estimation of Grasped Objects
  2024/7/1
• From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking
  2024/6/1
• Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D Perception
  2024/5/1
• Unifying Scene Representation and Hand-Eye Calibration with 3D Foundation Models
  2024/4/1
• V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes
  2024/3/1
• Teaching Robots Where To Go And How To Act With Human Sketches via Spatial Diagrammatic Instructions
  2024/3/1
• DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark
  2024/3/1
• Customizable Perturbation Synthesis for Robust SLAM Benchmarking
  2024/2/1
• Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
  2023/12/1
• Learning Orbitally Stable Systems for Diagrammatically Teaching
  2023/9/1
• Reasoning about the Unseen for Efficient Outdoor Object Navigation
  2023/9/1
• Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching
  2023/9/1
• Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery
  2023/4/1
• Towards Automated Sample Collection and Return in Extreme Underwater Environments
  2021/12/1
• Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems
  2021/12/1
• Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization
  2021/9/1
• A Kinematic Model for Trajectory Prediction in General Highway Scenarios
  2021/3/1
• Point Set Voting for Partial Point Cloud Analysis
  2020/7/1
• BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation
  2020/7/1
• Pixel-Wise Motion Deblurring of Thermal Videos
  2020/6/1
• Off The Beaten Sidewalk: Pedestrian Prediction In Shared Spaces For Autonomous Vehicles
  2020/6/1
• Parametric Design of Underwater Optical Systems
  2020/4/1
• Reachable Sets for Safe, Real-Time Manipulator Trajectory Design
  2020/2/1
• Leveraging the Template and Anchor Framework for Safe, Online Robotic Gait Design
  2019/9/1
• On-Demand Trajectory Predictions for Interaction Aware Highway Driving
  2019/9/1
• Risk Assessment and Planning with Bidirectional Reachability for Autonomous Driving
  2019/9/1
• LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery
  2019/5/1
• Stochastic Sampling Simulation for Pedestrian Trajectory Prediction
  2019/3/1
• Towards Provably Not-at-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments
  2019/2/1
• A constrained control-planning strategy for redundant manipulators
  2018/10/1
• SilhoNet: An RGB Method for 6D Object Pose Estimation
  2018/9/1
• Bridging the Gap Between Safety and Real-Time Performance in Receding-Horizon Trajectory Design for Mobile Robots
  2018/9/1
• Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction
  2018/9/1
• Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments
  2018/9/1
• PedX: Benchmark Dataset for Metric 3D Pose Estimation of Pedestrians in Complex Urban Intersections
  2018/9/1
• Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
  2017/7/1
• Technical Report for Real-Time Certified Probabilistic Pedestrian Forecasting
  2017/6/1
• Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments
  2017/5/1
• WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images
  2017/2/1
• Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
  2016/10/1