Jacob J. Johnson

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Trajectory Planning

Reinforcement Learning

Top Venues

Publications

Jacob J. Johnson, Ahmed H. Qureshi, Michael C. Yip
Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries. ICRA (2024)
Nikhil U. Shinde, Jacob J. Johnson, Sylvia L. Herbert, Michael C. Yip
Object-centric Representations for Interactive Online Learning with Non-Parametric Methods. CoRR (2023)
Jacob J. Johnson, Ahmed H. Qureshi, Michael C. Yip
Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning With Transformers. IEEE Robotics Autom. Lett. 8 (12) (2023)
Jacob J. Johnson, Ahmed Hussain Qureshi, Michael C. Yip
Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries. CoRR (2023)
Nikhil U. Shinde, Jacob J. Johnson, Sylvia L. Herbert, Michael C. Yip
Object-Centric Representations for Interactive Online Learning with Non-Parametric Methods. CASE (2023)
Jacob J. Johnson, Ahmed Hussain Qureshi, Michael C. Yip
Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers. CoRR (2023)
Jacob J. Johnson, Linjun Li, Ahmed Hussain Qureshi, Michael C. Yip
Motion Planning Transformers: One Model to Plan Them All. CoRR (2021)
Jacob J. Johnson, Michael C. Yip
Chance-Constrained Motion Planning using Modeled Distance-to-Collision Functions. CoRR (2021)
Jacob J. Johnson, Michael C. Yip
Chance-Constrained Motion Planning using Modeled Distance- to-Collision Functions. CASE (2021)
Jacob J. Johnson, Linjun Li, Fei Liu, Ahmed Hussain Qureshi, Michael C. Yip
Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots. CoRR (2020)
Jacob J. Johnson, Linjun Li, Fei Liu, Ahmed Hussain Qureshi, Michael C. Yip
Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots. IROS (2020)
Ahmed Hussain Qureshi, Jacob J. Johnson, Yuzhe Qin, Taylor Henderson, Byron Boots, Michael C. Yip
Composing Task-Agnostic Policies with Deep Reinforcement Learning. ICLR (2020)
Ahmed Hussain Qureshi, Jacob J. Johnson, Yuzhe Qin, Byron Boots, Michael C. Yip
Composing Ensembles of Policies with Deep Reinforcement Learning. CoRR (2019)
Macauley S. Breault, Pierre Sacré, Jacob J. Johnson, Matthew S. D. Kerr, Matthew D. Johnson, Juan Bulacio, Jorge Gonzalez-Martinez, Sridevi V. Sarma, John T. Gale
Nonmotor regions encode path-related information during movements. EMBC (2017)
Jacob J. Johnson, Macauley S. Breault, Pierre Sacré, Matthew S. D. Kerr, Mathew Johnson, Juan Bulacio, Jorge Gonzalez-Martinez, Sridevi V. Sarma, John T. Gale
The role of nonmotor brain regions during human motor control. EMBC (2017)