Jae Sung Park

Jae Sung Park

University of North Carolina at Chapel Hill

H-index: 7

North America-United States

About Jae Sung Park

Jae Sung Park, With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at University of North Carolina at Chapel Hill, specializes in the field of Robotics.

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

Fast and Bounded Probabilistic Collision Detection for High-DOF Robots in Dynamic Environments

Real-Time Robot Motion Planning Algorithms and Applications Under Uncertainty

HMPO: Human motion prediction in occluded environments for safe motion planning

Efficient probabilistic collision detection for non-gaussian noise distributions

Jae Sung Park Information

University

Position

___

Citations(all)

223

Citations(since 2020)

188

Cited By

114

hIndex(all)

7

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

5

Email

University Profile Page

University of North Carolina at Chapel Hill

Google Scholar

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Jae Sung Park Skills & Research Interests

Robotics

Top articles of Jae Sung Park

Title

Journal

Author(s)

Publication Date

Fast and Bounded Probabilistic Collision Detection for High-DOF Robots in Dynamic Environments

Algorithmic Foundations of Robotics XII: Proceedings of the Twelfth Workshop on the Algorithmic Foundations of Robotics

Chonhyon Park

Jae Sung Park

Dinesh Manocha

2020

Real-Time Robot Motion Planning Algorithms and Applications Under Uncertainty

Jae Sung Park

2020

HMPO: Human motion prediction in occluded environments for safe motion planning

arXiv preprint arXiv:2006.00424

Jae Sung Park

Dinesh Manocha

2020/5/31

Efficient probabilistic collision detection for non-gaussian noise distributions

IEEE Robotics and Automation Letters

Jae Sung Park

Dinesh Manocha

2020/1/14

See List of Professors in Jae Sung Park University(University of North Carolina at Chapel Hill)