Aidan Curtis

10 papers · 2020–2025 · 6 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (6) 💎 Century Club (10)

Conferences

CORL (3) AAAI (2) ICML (2) ICLR (1) IJCAI (1) RSS (1)

Top co-authors

Tomás Lozano-Pérez (6) Joshua B. Tenenbaum (5) Leslie Pack Kaelbling (5) Tom Silver (3) Hui Li (2) Leslie Kaelbling (2) Nishad Gothoskar (2) Sachin Chitta (2) Sugandha Sharma (1) Suning Huang (1)

Keywords

task and motion planning (4) automated planning (1) policy learning (1) risk-aware planning (1) heuristic search (1) policy search (1) probabilistic perception (1) partially observable (1) abstraction learning (1) classical planning (1) generalized planning (1) closed-loop control (1) long-range planning (1) curiosity-based exploration (1) temporally-extended plan (1) graph neural network (1) object importance (1) large-scale planning (1) black-box planner (1) uncertainty reasoning (1)

Papers

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills ICML 2025

ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly CORL 2025

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation CORL 2025

Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction CORL 2024

Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness RSS 2024

Map Induction: Compositional spatial submap learning for efficient exploration in novel environments ICLR 2022

PG3: Policy-Guided Planning for Generalized Policy Generation IJCAI 2022

Discovering State and Action Abstractions for Generalized Task and Motion Planning AAAI 2022

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks AAAI 2021

Flexible and Efficient Long-Range Planning Through Curious Exploration ICML 2020