Nicholas Roy

Nicholas Roy

Massachusetts Institute of Technology

H-index: 82

North America-United States

About Nicholas Roy

Nicholas Roy, With an exceptional h-index of 82 and a recent h-index of 54 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Robotics, Machine Learning, Human-Robot Interaction, Micro Air Vehicles.

His recent articles reflect a diverse array of research interests and contributions to the field:

PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Preference Alignment

Generating Sparse Probabilistic Graphs for Efficient Planning in Uncertain Environments

Real-World Deployment of a Hierarchical Uncertainty-Aware Collaborative Multiagent Planning System

Large Language Models to the Rescue: Deadlock Resolution in Multi-Robot Systems

Autonomous Navigation, Mapping and Exploration with Gaussian Processes

Approximating the value of collaborative team actions for efficient multiagent navigation in uncertain graphs

Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion

Autotamp: Autoregressive task and motion planning with llms as translators and checkers

Nicholas Roy Information

University

Position

___

Citations(all)

26697

Citations(since 2020)

9789

Cited By

23039

hIndex(all)

82

hIndex(since 2020)

54

i10Index(all)

217

i10Index(since 2020)

158

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Nicholas Roy Skills & Research Interests

Robotics

Machine Learning

Human-Robot Interaction

Micro Air Vehicles

Top articles of Nicholas Roy

Title

Journal

Author(s)

Publication Date

PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Preference Alignment

arXiv preprint arXiv:2402.08702

Yongchao Chen

Jacob Arkin

Yilun Hao

Yang Zhang

Nicholas Roy

...

2024/2/13

Generating Sparse Probabilistic Graphs for Efficient Planning in Uncertain Environments

IEEE International Conference on Robotics and Automation

Yasmin Veys

Martina Stadler Kurtz

Nicholas Roy

2024

Real-World Deployment of a Hierarchical Uncertainty-Aware Collaborative Multiagent Planning System

arXiv preprint arXiv:2404.17438

Martina Stadler Kurtz

Samuel Prentice

Yasmin Veys

Long Quang

Carlos Nieto-Granda

...

2024/4/26

Large Language Models to the Rescue: Deadlock Resolution in Multi-Robot Systems

arXiv preprint arXiv:2404.06413

Kunal Garg

Jacob Arkin

Songyuan Zhang

Nicholas Roy

Chuchu Fan

2024/4/9

Autonomous Navigation, Mapping and Exploration with Gaussian Processes

Proceedings of Robotics: Science and Systems, Daegu, Republic of Korea

Mahmoud Ali

Hassan Jardali

Nicholas Roy

Lantao Liu

2023/7

Approximating the value of collaborative team actions for efficient multiagent navigation in uncertain graphs

Proceedings of the International Conference on Automated Planning and Scheduling

Martina Stadler

Jacopo Banfi

Nicholas Roy

2023/7/1

Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion

Advances in Neural Information Processing Systems

Ethan Pronovost

Meghana Reddy Ganesina

Noureldin Hendy

Zeyu Wang

Andres Morales

...

2023/12/15

Autotamp: Autoregressive task and motion planning with llms as translators and checkers

arXiv preprint arXiv:2306.06531

Yongchao Chen

Jacob Arkin

Yang Zhang

Nicholas Roy

Chuchu Fan

2023/6/10

Evora: Deep evidential traversability learning for risk-aware off-road autonomy

arXiv preprint arXiv:2311.06234

Xiaoyi Cai

Siddharth Ancha

Lakshay Sharma

Philip R Osteen

Bernadette Bucher

...

2023/11/10

Generating driving scenes with diffusion

arXiv preprint arXiv:2305.18452

Ethan Pronovost

Kai Wang

Nick Roy

2023/5/29

How to train your neural control barrier function: Learning safety filters for complex input-constrained systems

arXiv preprint arXiv:2310.15478

Oswin So

Zachary Serlin

Makai Mann

Jake Gonzales

Kwesi Rutledge

...

2023/10/24

Structured Latent Variable Models for Articulated Object Interaction

arXiv preprint arXiv:2305.16567

Emily Liu

Michael Noseworthy

Nicholas Roy

2023/5/26

Scalable multi-robot collaboration with large language models: Centralized or decentralized systems?

arXiv preprint arXiv:2309.15943

Yongchao Chen

Jacob Arkin

Yang Zhang

Nicholas Roy

Chuchu Fan

2023/9/27

Deep Learning Unlocks X‐ray Microtomography Segmentation of Multiclass Microdamage in Heterogeneous Materials

Advanced Materials

Reed Kopp

Joshua Joseph

Xinchen Ni

Nicholas Roy

Brian L Wardle

2022/3

Learning to Guide Search in Long-Horizon Task and Motion Planning

Christopher Powell Bradley

Nicholas Roy

2022/12/13

Discovering hydrothermalism from Afar: In Situ methane instrumentation and change-point detection for decision-making

Frontiers in Earth Science

Victoria Preston

Genevieve Flaspohler

Jason Kapit

William Pardis

Sarah Youngs

...

2022/10/25

Hierarchical planning for heterogeneous multi-robot routing problems via learned subteam performance

IEEE Robotics and Automation Letters

Jacopo Banfi

Andrew Messing

Christopher Kroninger

Ethan Stump

Seth Hutchinson

...

2022/2/7

Tell me why! explanations support learning relational and causal structure

Andrew K Lampinen

Nicholas Roy

Ishita Dasgupta

Stephanie CY Chan

Allison Tam

...

2022/6/28

Technical Report: A Hierarchical Deliberative-Reactive System Architecture for Task and Motion Planning in Partially Known Environments

arXiv preprint arXiv:2202.01385

Vasileios Vasilopoulos

Sebastian Castro

William Vega-Brown

Daniel E Koditschek

Nicholas Roy

2022/2/3

Robotic planning under uncertainty in spatiotemporal environments in expeditionary science

arXiv preprint arXiv:2206.01364

Victoria Preston

Genevieve Flaspohler

Anna PM Michel

John W Fisher III

Nicholas Roy

2022/6/3

See List of Professors in Nicholas Roy University(Massachusetts Institute of Technology)

Co-Authors

H-index: 132
Wolfram Burgard

Wolfram Burgard

Albert-Ludwigs-Universität Freiburg

H-index: 128
Dieter Fox

Dieter Fox

University of Washington

H-index: 118
Andrew McCallum

Andrew McCallum

University of Massachusetts Amherst

H-index: 101
Jonathan P. How

Jonathan P. How

Massachusetts Institute of Technology

H-index: 82
John Leonard

John Leonard

Massachusetts Institute of Technology

H-index: 76
Cyrill Stachniss

Cyrill Stachniss

Rheinische Friedrich-Wilhelms-Universität Bonn

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