Publications

2023

  1. Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers
    Jacob J. Johnson, Ahmed H Qureshi, and Michael Yip
    2023
    Website
  2. Object-centric Representations for Interactive Online Learning with Non-Parametric Methods
    Nikhil Shinde, Jacob J. Johnson, Sylvia Herbert, and 1 more author
    In International Conference on Automation Science and Engineering (CASE), 2023
  3. Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries
    Jacob J. Johnson, Ahmed H. Qureshi, and Michael C. Yip
    2023

2022

  1. Motion Planning Transformers: One Model to Plan them All
    Jacob J. Johnson, Linjun Li, Ahmed Qureshi, and 1 more author
    2022
  2. Motion Planning Transformers: A Motion Planning Framework for Mobile Robots
    Jacob J. Johnson, Uday S. Kalra, Ankit Bhatia, and 3 more authors
    2022

2021

  1. Chance-Constrained Motion Planning using Modeled Distance-to-Collision Functions
    Jacob J. Johnson, and Michael C. Yip
    2021

2020

  1. Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots
    Jacob J. Johnson, Linjun Li, Fei Liu, and 2 more authors
    In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

2019

  1. Composing Task-Agnostic Policies with Deep Reinforcement Learning
    Ahmed H. Qureshi, Jacob J. Johnson, Yuzhe Qin, and 3 more authors
    2019
    Website

2017

  1. Nonmotor regions encode path-related information during movements
    Macauley S. Breault, Pierre Sacré, Jacob J. Johnson, and 6 more authors
    In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
  2. The role of nonmotor brain regions during human motor control
    Jacob J. Johnson, Macauley S. Breault, Pierre Sacre, and 6 more authors
    In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017