David Meger

収録論文 29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

• Tactile Modality Fusion for Vision-Language-Action Models
  2026/3/15
• Tactile Modality Fusion for Vision-Language-Action Models
  2026/3/1
• Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations
  2026/1/1
• VOCALoco: Viability-Optimized Cost-aware Adaptive Locomotion
  2025/10/1
• Large Pre-Trained Models for Bimanual Manipulation in 3D
  2025/9/1
• Topological mapping for traversability-aware long-range navigation in off-road terrain
  2024/10/1
• Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs
  2024/4/1
• Learning active tactile perception through belief-space control
  2023/12/1
• Generalizable Imitation Learning Through Pre-Trained Representations
  2023/11/1
• Imitation Learning from Observation through Optimal Transport
  2023/10/1
• Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model
  2023/10/1
• ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence
  2023/2/1
• NeurIPS 2022 Competition: Driving SMARTS
  2022/11/1
• IL-flOw: Imitation Learning from Observation using Normalizing Flows
  2022/5/1
• Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain
  2021/12/1
• An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles
  2021/10/1
• Active 3D Shape Reconstruction from Vision and Touch
  2021/7/1
• Intervention Design for Effective Sim2Real Transfer
  2020/12/1
• Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
  2020/11/1
• Multimodal dynamics modeling for off-road autonomous vehicles
  2020/11/1
• Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
  2020/7/1
• 3D Shape Reconstruction from Vision and Touch
  2020/7/1
• Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
  2020/6/1
• Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
  2020/4/1
• Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
  2019/10/1
• Learning Domain Randomization Distributions for Training Robust Locomotion Policies
  2019/6/1
• Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
  2019/3/1
• Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning
  2018/3/1
• Semantic Robot Vision Challenge: Current State and Future Directions
  2009/8/1