World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
6612
World Ranking
8470
National Ranking
3621

Overview

Byron Boots is affiliated with the University of Washington in the United States. Their research activity spans multiple areas within computer science and engineering, with a substantial focus on robotics and machine learning.

The primary fields of study for Byron Boots include:

  • Computer Science
  • Engineering

Their work is concentrated in several subfields, such as:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Aerospace Engineering

Within these domains, the main topics of Byron Boots' research encompass:

  • Robot Manipulation and Learning
  • Reinforcement Learning in Robotics
  • Robotic Path Planning Algorithms
  • Robotic Locomotion and Control
  • Advanced Control Systems Optimization
  • Robotic Mechanisms and Dynamics
  • Machine Learning and Algorithms

Byron Boots has published frequently in several respected venues. The most common publication platforms include:

  • arXiv (Cornell University), with 57 publications
  • Zenodo (CERN European Organization for Nuclear Research), 6 publications
  • IEEE Robotics and Automation Letters, 3 publications
  • 2022 International Conference on Robotics and Automation (ICRA), 3 publications
  • Neurocomputing, 1 publication

Recent papers authored by Byron Boots include:

  • "Combining pretrained CNN feature extractors to enhance clustering of complex natural images," 2020, Neurocomputing
  • "RMPflow: A Geometric Framework for Generation of Multitask Motion Policies," 2021, IEEE Transactions on Automation Science and Engineering
  • "Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior," 2022, IEEE Robotics and Automation Letters
  • "Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion," 2020, arXiv (Cornell University)
  • "STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation," 2021, arXiv (Cornell University)

Byron Boots frequently collaborates with other researchers, with the most common co-authors being:

  • Dieter Fox, 20 joint publications
  • Nathan Ratliff, 13 joint publications
  • Mustafa Mukadam, 10 joint publications
  • Ching-An Cheng, 9 joint publications
  • Bryan Peele, 9 joint publications

Best Publications

  • One-Shot Learning for Semantic Segmentation

    Amirreza Shaban;Shray Bansal;Zhen Liu;Irfan Essa

  • Information theoretic MPC for model-based reinforcement learning

    Grady Williams;Nolan Wagener;Brian Goldfain;Paul Drews

  • Agile Autonomous Driving using End-to-End Deep Imitation Learning

    Yunpeng Pan;Ching-An Cheng;Kamil Saigol;Keuntaek Lee

  • Closing the learning-planning loop with predictive state representations

    Byron Boots;Sajid M Siddiqi;Geoffrey J Gordon

  • Hilbert Space Embeddings of Hidden Markov Models

    Le Song;Byron Boots;Sajid M. Siddiqi;Geoffrey J. Gordon

  • Continuous-time Gaussian process motion planning via probabilistic inference

    Mustafa Mukadam;Jing Dong;Xinyan Yan;Frank Dellaert

  • Deeply AggreVaTeD: differentiable imitation learning for sequential prediction

    Wen Sun;Arun Venkatraman;Geoffrey J. Gordon;Byron Boots

  • Differentiable MPC for End-to-end Planning and Control

    Brandon Amos;Ivan Jimenez;Jacob Sacks;Byron Boots

  • A Constraint Generation Approach to Learning Stable Linear Dynamical Systems

    Byron Boots;Geoffrey J. Gordon;Sajid M. Siddiqi

  • Gaussian Process Motion planning

    Mustafa Mukadam;Xinyan Yan;Byron Boots

  • Reduced-Rank Hidden Markov Models

    Sajid M. Siddiqi;Byron Boots;Geoffrey J. Gordon

  • Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs

    Jing Dong;Mustafa Mukadam;Frank Dellaert;Byron Boots

  • Imitation learning for agile autonomous driving

    Yunpeng Pan;Ching-An Cheng;Kamil Saigol;Keuntaek Lee

  • 4D crop monitoring: Spatio-temporal reconstruction for agriculture

    Jing Dong;John Gary Burnham;Byron Boots;Glen Rains

  • Differentiable MPC for End-to-end Planning and Control

    Brandon Amos;Ivan Dario Jimenez Rodriguez;Jacob Sacks;Byron Boots

  • Learning from Conditional Distributions via Dual Embeddings

    Bo Dai;Niao He;Niao He;Yunpeng Pan;Byron Boots

  • Truncated Back-propagation for Bilevel Optimization

    Amirreza Shaban;Ching-An Cheng;Nathan Hatch;Byron Boots

  • An online spectral learning algorithm for partially observable nonlinear dynamical systems

    Byron Boots;Geoffrey J. Gordon

  • Hilbert Space Embeddings of Predictive State Representations

    Byron Boots;Geoffrey Gordon;Arthur Gretton

  • Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning.

    Muhammad Asif Rana;Mustafa Mukadam;Seyed Reza Ahmadzadeh;Sonia Chernova

  • RMP-flow: A Computational Graph for Automatic Motion Policy Generation

    Ching-An Cheng;Mustafa Mukadam;Jan Issac;Stan Birchfield

  • IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data

    Ajay Mandlekar;Fabio Ramos;Byron Boots;Silvio Savarese

  • Provably Efficient Imitation Learning from Observation Alone.

    Wen Sun;Anirudh Vemula;Byron Boots;Drew Bagnell

Frequent Co-Authors

Geoffrey J. Gordon
Geoffrey J. Gordon Carnegie Mellon University
Dieter Fox
Dieter Fox University of Washington
Frank Dellaert
Frank Dellaert Georgia Institute of Technology
Fabio Ramos
Fabio Ramos University of Sydney
J. Andrew Bagnell
J. Andrew Bagnell Carnegie Mellon University
Evangelos A. Theodorou
Evangelos A. Theodorou Georgia Institute of Technology
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Richard Hartley
Richard Hartley Australian National University
Stan Birchfield
Stan Birchfield Nvidia (United States)
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to various online degrees and career pathways. Many students consider affordable options, such as the cheapest data science degree programs, which can lead to lucrative roles in analytics and AI.

Another popular choice is electrical engineering. With the rise of remote learning, aspiring engineers often compare electrical engineering online tuition costs to find the best fit for their budget and goals.

For those looking to quickly boost their credentials, there are several easy certifications to get online, many of which lead to well-paying tech jobs without long-term study commitments.

If you’re seeking to fast-track your advancement, you might want to explore quick masters degrees online. These programs offer streamlined curricula for graduates eager to enter the workforce or switch careers swiftly.

No matter your goals, exploring these online degree and certification options can help you build a successful career in technology.

Best Scientists Citing Byron Boots

Trending Scientists