Aidan Curtis
10 papers · 2020–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 💎 Century Club · Bronze
🗃️
Keyword Collector
(54)
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Reinforcement Learning
(5)
Methods
(5)
Robotics
(4)
Capabilities
(4)
Applications · Reinforcement Learning
(3)
Knowledge & Reasoning
(2)
Machine Learning
(2)
Bayesian & Probabilistic
(2)
Deep Learning
(1)
Applications · Robotics
(1)
Architectures
(1)
Core Methods
(1)
Optimization & Theory
(1)
Keywords
task and motion planning
(4)
hierarchical planning
(1)
abstraction learning
(1)
policy learning
(1)
risk-aware planning
(1)
heuristic search
(1)
domain randomization
(1)
hierarchical bayesian
(1)
sampling distribution
(1)
policy search
(1)
reward function
(1)
probabilistic perception
(1)
pomdp
(1)
partially observable
(1)
automated planning
(1)
collision avoidance
(1)
normalizing flow
(1)
transition function
(1)
probabilistic program
(1)
robustness
(1)
Papers
ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly
CoRL 2025
Flow-based Domain Randomization for Learning and Sequencing Robotic Skills
ICML 2025
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
CoRL 2025
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness
RSS 2024
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction
CoRL 2024
Discovering State and Action Abstractions for Generalized Task and Motion Planning
AAAI 2022
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
ICLR 2022
PG3: Policy-Guided Planning for Generalized Policy Generation
IJCAI 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