Matthew R. Walter

収録論文 35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

• CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization
  2026/6/1
• Flow-based Policy Adaptation without Policy Updates
  2026/6/1
• HapCompass: A Rotational Haptic Device for Contact-Rich Robotic Teleoperation
  2026/3/1
• Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning
  2025/10/1
• SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting
  2025/6/1
• FlashBack: Consistency Model-Accelerated Shared Autonomy
  2025/5/1
• From Vague Instructions to Task Plans: A Feedback-Driven HRC Task Planning Framework based on LLMs
  2025/3/1
• PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement
  2024/11/1
• StackGen: Generating Stable Structures from Silhouettes via Diffusion
  2024/9/1
• MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models
  2024/3/1
• 6-DoF Stability Field via Diffusion Models
  2023/10/1
• Enhancing scientific exploration of the deep sea through shared autonomy in remote manipulation
  2023/9/1
• Statler: State-Maintaining Language Models for Embodied Reasoning
  2023/6/1
• N-LIMB: Neural Limb Optimization for Efficient Morphological Design
  2022/7/1
• Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer
  2022/2/1
• Self-Supervised Camera Self-Calibration from Video
  2021/12/1
• Invariance Through Latent Alignment
  2021/12/1
• Real Robot Challenge: A Robotics Competition in the Cloud
  2021/9/1
• Language Understanding for Field and Service Robots in a Priori Unknown Environments
  2021/5/1
• Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation
  2021/5/1
• Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
  2020/9/1
• Concurrent Training Improves the Performance of Behavioral Cloning from Observation
  2020/8/1
• Residual Policy Learning for Shared Autonomy
  2020/4/1
• Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments
  2019/10/1
• The AI Driving Olympics at NeurIPS 2018
  2019/3/1
• Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions
  2019/3/1
• Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning
  2018/1/1
• Satellite Image-based Localization via Learned Embeddings
  2017/4/1
• Jointly Optimizing Placement and Inference for Beacon-based Localization
  2017/3/1
• Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation
  2016/10/1
• Learning Articulated Motion Models from Visual and Lingual Signals
  2015/11/1
• Accurate Vision-based Vehicle Localization using Satellite Imagery
  2015/10/1
• Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences
  2015/6/1
• Learning Models for Following Natural Language Directions in Unknown Environments
  2015/3/1
• Learning Articulated Motions From Visual Demonstration
  2015/2/1