← Authors

Nicholas Roy

25 papers · 2000–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (10) πŸƒ Academic Marathon (25) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion πŸ’Ž Century Club (25) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (119) πŸš€ Conference Pioneer

Conferences

RSS (9) CORL (5) IJCAI (3) AAAI (1) ACL (1) CONLL (1) EMNLP (1) ICCV (1) ICML (1) JMLR (1) NIPS (1)

Top co-authors

Rohan Paul (7) Michael Noseworthy (4) Daehyung Park (4) Subhro Roy (4) Jacob Arkin (3) Stefanie Tellex (2) Thomas M. Howard (2) W. Nicholas Greene (2) William Vega-Brown (2) TomΓ‘s Lozano-PΓ©rez (2)

Keywords

probabilistic model (4) natural language understanding (3) reinforcement learning (3) robot navigation (2) task and motion planning (2) self-supervised learning (2) robot planning (2) language grounding (2) robot manipulator (2) natural language instruction (2) motion planning (2) robot manipulation (2) uncertainty quantification (1) probabilistic modeling (1) shape correspondence (1) relational learning (1) nonparametric bayesian (1) active learning (1) hierarchical planning (1) task generalization (1)

Papers

Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories CORL 2025
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling EMNLP 2024
Autonomous Navigation, Mapping and Exploration with Gaussian Processes RSS 2023
A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty RSS 2023
Tell me why! Explanations support learning relational and causal structure ICML 2022
Active Learning of Abstract Plan Feasibility RSS 2021
Task and Motion Planning Is PSPACE-Complete AAAI 2020
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty RSS 2020
Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning CORL 2019
Task-Conditioned Variational Autoencoders for Learning Movement Primitives CORL 2019
Leveraging Past References for Robust Language Grounding CONLL 2019
Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge CORL 2018
Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments CORL 2018
Admissible Abstractions for Near-optimal Task and Motion Planning IJCAI 2018
Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context IJCAI 2017
FLaME: Fast Lightweight Mesh Estimation Using Variational Smoothing on Delaunay Graphs ICCV 2017
Grounding Abstract Spatial Concepts for Language Interaction with Robots IJCAI 2017
Safe Visual Navigation via Deep Learning and Novelty Detection RSS 2017
Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators RSS 2016
Asking for Help Using Inverse Semantics RSS 2014
Toward Information Theoretic Human-Robot Dialog RSS 2012
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
Provably Efficient Learning with Typed Parametric Models JMLR 2009
Probabilistic Models of Object Geometry for Grasp Planning RSS 2008
Spoken Dialogue Management Using Probabilistic Reasoning ACL 2000