activity
20182026
most citedLearning-based Initialization of Trajectory Optimization for Path-following Problems of Redundant Manipulators

8 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026★ 8 cited

Learning-based Initialization of Trajectory Optimization for Path-following Problems of Redundant Manipulators

Minsung Yoon, Mincheul Kang, Daehyung Park +1

Trajectory optimization (TO) is an efficient tool to generate a redundant manipulator's joint trajectory following a 6-dimensional Cartesian path. The optimization performance larg…

cs.RO2023

Obstacle- and Occlusion-Responsive Visual Tracking Control for Redundant Manipulators using Reachability Measure

Mincheul Kang, Junhyoung Ha

A vision system attached to a manipulator excels at tracing a moving target object while effectively handling obstacles, overcoming limitations arising from the camera's confined f…

cs.RO2019★ 4 cited

TORM: Fast and Accurate Trajectory Optimization of Redundant Manipulator given an End-Effector Path

Mincheul Kang, Heechan Shin, Donghyuk Kim +1

A redundant manipulator has multiple inverse kinematics solutions per end-effector pose. Accordingly, there can be many trajectories for joints that follow a given endeffector path…

cs.CV2019★ 2 cited

An Objectness Score for Accurate and Fast Detection during Navigation

Hongsun Choi, Mincheul Kang, Youngsun Kwon +1

We propose a novel method utilizing an objectness score for maintaining the locations and classes of objects detected from Mask R-CNN during mobile robot navigation. The objectness…

cs.RO2018

Harmonious Sampling for Mobile Manipulation Planning

Mincheul Kang, Donghyuk Kim, Sung-Eui Yoon

Mobile manipulation planning commonly adopts a decoupled approach that performs planning separately on the base and the manipulator. While this approach is fast, it can generate su…