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• Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
  2020 · 2 citations
• ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly
  2024 · 2 citations
• Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes
  2023 · 1 citations
• Follow the Signs: Using Textual Cues and LLMs to Guide Efficient Robot Navigation
  2026
• Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators
  2025
• Flow-based Domain Randomization for Learning and Sequencing Robotic Skills
  2025
• Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances
  2021
• Discovering State and Action Abstractions for Generalized Task and Motion Planning
  2021
• Let's Handle It: Generalizable Manipulation of Articulated Objects
  2022
• Visibility-Aware Navigation Among Movable Obstacles
  2022
• Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects
  2022
• Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness
  2024
• Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction
  2024
• Towards Practical Finite Sample Bounds for Motion Planning in TAMP
  2024