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Nicholas Roy

Nicholas Roy

D-Index & Metrics

Computer Science

D-Index
82
Citations
26005
World Ranking
964
National Ranking
522

Overview

Nicholas Roy is affiliated with MIT in the United States and has made contributions primarily in the fields of Computer Science, Neuroscience, and Engineering. Their research output spans a variety of interdisciplinary areas, particularly focused on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Aerospace Engineering, and Control and Systems Engineering.

The scientist's work covers several key topics, including:

  • Neural dynamics and brain function
  • Memory and Neural Mechanisms
  • Topic Modeling
  • Robotic Path Planning Algorithms
  • Olfactory and Sensory Function Studies
  • Receptor Mechanisms and Signaling
  • Robotics and Sensor-Based Localization

Recent notable papers include:

  • "Mice alternate between discrete strategies during perceptual decision-making," 2022, Nature Neuroscience
  • "Extracting the dynamics of behavior in sensory decision-making experiments," 2021, Neuron
  • "Search and rescue under the forest canopy using multiple UAVs," 2020, The International Journal of Robotics Research
  • "Physics-informed reinforcement learning optimization of nuclear assembly design," 2020, Nuclear Engineering and Design
  • "Multimodal estimation and communication of latent semantic knowledge for robust execution of robot instructions," 2020, The International Journal of Robotics Research

Frequent collaborators of Nicholas Roy include:

  • Jonathan W. Pillow (6 coauthored publications)
  • Zoe C. Ashwood (4 coauthored publications)
  • Anne E Urai (4 coauthored publications)
  • Anne K. Churchland (4 coauthored publications)
  • Alexandre Pouget (4 coauthored publications)

Their work has appeared in various publication venues, notably:

  • arXiv (Cornell University) with 10 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 3 publications
  • The International Journal of Robotics Research (2 publications)
  • Nature Neuroscience (1 publication)
  • Neuron (1 publication)

This publication record highlights Nicholas Roy's involvement in both foundational and applied aspects of their fields, contributing to advancements in decision-making, robotics, and reinforcement learning optimization.

Best Publications

  • Toward Optimal Active Learning through Sampling Estimation of Error Reduction

    Nicholas Roy;Andrew McCallum

  • MINERVA: a second-generation museum tour-guide robot

    S. Thrun;M. Bennewitz;W. Burgard;A.B. Cremers

  • Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera

    Albert S. Huang;Abraham Bachrach;Peter Henry;Michael Krainin

  • Polynomial Trajectory Planning for Aggressive Quadrotor Flight in Dense Indoor Environments

    Charles Richter;Adam Bry;Nicholas Roy

  • Towards robotic assistants in nursing homes: Challenges and results

    Joelle Pineau;Michael Montemerlo;Martha E. Pollack;Nicholas Roy

  • Understanding natural language commands for robotic navigation and mobile manipulation

    Stefanie Tellex;Thomas Kollar;Steven Dickerson;Matthew R. Walter

  • Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva

    Sebastian Thrun;Michael Beetz;Maren Bennewitz;Wolfram Burgard

  • Rapidly-exploring Random Belief Trees for motion planning under uncertainty

    Adam Bry;Nicholas Roy

  • Perspectives on standardization in mobile robot programming: the Carnegie Mellon Navigation (CARMEN) Toolkit

    M. Montemerlo;N. Roy;S. Thrun

  • Experiences with a mobile robotic guide for the elderly

    Michael Montemerlo;Joelle Pineau;Nicholas Roy;Sebastian Thrun

  • RANGE–Robust autonomous navigation in GPS-denied environments

    Abraham Bachrach;Samuel Prentice;Ruijie He;Nicholas Roy

  • Toward understanding natural language directions

    Thomas Kollar;Stefanie Tellex;Deb Roy;Nicholas Roy

  • Pearl: A Mobile Robotic Assistant for the Elderly

    Martha E. Pollack;Laura Brown;Dirk Colbry;Cheryl Orosz

  • Finding approximate POMDP solutions through belief compression

    Nicholas Roy;Geoffrey Gordon;Sebastian Thrun

  • Spoken dialogue management using probabilistic reasoning

    Nicholas Roy;Joelle Pineau;Sebastian Thrun

  • Stable population coding for working memory coexists with heterogeneous neural dynamics in prefrontal cortex

    John D. Murray;Alberto Bernacchia;Nicholas A. Roy;Christos Constantinidis

  • The Belief Roadmap: Efficient Planning in Belief Space by Factoring the Covariance

    Samuel Prentice;Nicholas Roy

  • Global A-Optimal Robot Exploration in SLAM

    R. Sim;N. Roy

  • Planning in information space for a quadrotor helicopter in a GPS-denied environment

    Ruijie He;S. Prentice;N. Roy

  • Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns

    Georges S. Aoude;Brandon D. Luders;Joshua M. Joseph;Nicholas Roy

  • Finding approximate pomdp solutions through belief compression

    Nicholas George Dilip Roy;Tom Mitchell;Sebastian Thrun

Frequent Co-Authors

Paul Newman
Paul Newman University of Oxford
Hugh Durrant-Whyte
Hugh Durrant-Whyte University of Sydney
Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Stefanie Tellex
Stefanie Tellex Brown University
Sebastian Thrun
Sebastian Thrun Stanford University
Matthew R. Walter
Matthew R. Walter Toyota Technological Institute at Chicago
Emma Brunskill
Emma Brunskill Stanford University

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