Nicholas Roy

収録論文 46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

• Leveraging Semantic Maps for City-Scale Cross-View Localization
  2026/7/1
• Belief Consistency Between Foundation-Model Evidence and Geometric Perception in Persistent Robotic Maps
  2026/6/1
• Autonomous Search for Sparsely Distributed Visual Phenomena through Environmental Context Modeling
  2026/3/1
• Toward Learning POMDPs Beyond Full-Rank Actions and State Observability
  2026/1/1
• Structured Interfaces for Automated Reasoning with 3D Scene Graphs
  2025/10/1
• RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving
  2025/9/1
• Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs
  2025/6/1
• Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation
  2025/5/1
• Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories
  2025/5/1
• Learning Attentive Neural Processes for Planning with Pushing Actions
  2025/4/1
• Belief Roadmaps with Uncertain Landmark Evanescence
  2025/1/1
• Semi-Supervised Neural Processes for Articulated Object Interactions
  2024/12/1
• PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain
  2024/9/1
• FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty
  2024/8/1
• Towards Practical Finite Sample Bounds for Motion Planning in TAMP
  2024/7/1
• Real-World Deployment of a Hierarchical Uncertainty-Aware Collaborative Multiagent Planning System
  2024/4/1
• Task and Motion Planning in Hierarchical 3D Scene Graphs
  2024/3/1
• PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling
  2024/2/1
• Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning
  2023/12/1
• Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion
  2023/11/1
• EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy
  2023/11/1
• How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems
  2023/10/1
• Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?
  2023/9/1
• AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
  2023/6/1
• Robotic Planning under Uncertainty in Spatiotemporal Environments in Expeditionary Science
  2022/6/1
• Technical Report: A Hierarchical Deliberative-Reactive System Architecture for Task and Motion Planning in Partially Known Environments
  2022/2/1
• From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
  2021/10/1
• Convex Iteration for Distance-Geometric Inverse Kinematics
  2021/9/1
• Active Learning of Abstract Plan Feasibility
  2021/7/1
• Language Understanding for Field and Service Robots in a Priori Unknown Environments
  2021/5/1
• Learning and Planning for Temporally Extended Tasks in Unknown Environments
  2021/4/1
• Reactive Task and Motion Planning under Temporal Logic Specifications
  2021/3/1
• Online Descriptor Enhancement via Self-Labelling Triplets for Visual Data Association
  2020/11/1
• Visual Prediction of Priors for Articulated Object Interaction
  2020/6/1
• Enabling Topological Planning with Monocular Vision
  2020/3/1
• Information-Guided Robotic Maximum Seek-and-Sample in Partially Observable Continuous Environments
  2019/9/1
• Search and Rescue under the Forest Canopy using Multiple UAVs
  2019/8/1
• Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context
  2018/11/1
• Admissible Abstractions for Near-optimal Task and Motion Planning
  2018/6/1
• Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands
  2017/12/1
• Near-optimal irrevocable sample selection for periodic data streams with applications to marine robotics
  2017/11/1
• GeneSIS-RT: Generating Synthetic Images for training Secondary Real-world Tasks
  2017/10/1
• Technical Report: Sensor-Based Reactive Symbolic Planning in Partially Known Environments
  2017/9/1
• PROBE-GK: Predictive Robust Estimation using Generalized Kernels
  2017/8/1
• Learning Models for Following Natural Language Directions in Unknown Environments
  2015/3/1
• Modelling Observation Correlations for Active Exploration and Robust Object Detection
  2014/1/1