Seohyeon Lee — accepted AI-conference papers

2021

Slip Modeling and Simulation of Spiral Zipper Friction-Driven Prismatic Actuator

Seohyeon Lee, Sahoon Ahn, Devin Carroll, Mark Yim, TaeWon Seo

IROS 2021poster

In this study, based on an analysis of experimental results, we propose a method for slip modeling of Spiral Zipper. The Spiral Zipper is a prismatic actuator that extracts a length-changeable cylindrical tube from a flexible ABS band. The band tube is driven by a friction wheel; the slip results du…

Cited by 1 Source ↗Scholar ↗

2020

Polygon-Based Random Tree Search Planning for Variable Geometry Truss Robot

Sumin Park, JangHo Bae, Seohyeon Lee, Mark Yim, JongWon Kim, TaeWon Seo

RA-L 2020

This letter proposes the use of a polygon-based random tree path planning algorithm for a variable geometry topology system (VGT). By combining a path planning algorithm and our previous non-impact locomotion algorithm, the proposed VGT system reaches an objective point. The proposed path planning a

Cited by 13 Source ↗Scholar ↗