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Mincheul Kang

7 accepted papers

2024

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

RA-L 2024

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 field of view and occluded line of sight. Meanwhile, the manipulator may encounter certain challenges, including restrict

Cited by 2SourceScholar
2023

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

ICRA 2023poster

Trajectory optimization (TO) is an efficient tool to generate a redundant manipulator's joint trajectory following a 6-dimensional Cartesian path. The optimization performance largely depends on the quality of initial trajectories. However, the selection of a high-quality initial trajectory is non-t…

Cited by 10SourceScholar
2023

Towards Safe Remote Manipulation: User Command Adjustment based on Risk Prediction for Dynamic Obstacles

ICRA 2023poster

Real-time remote manipulation requires careful operations by a user to ensure the safety of a robot, which is designed to follow user's commands, against dynamic obstacles. However, a user may give commands to a robot at the risk of collision with dynamic obstacles due to a user's unfamiliar control…

Cited by 1SourceScholar
2022

RCIK: Real-Time Collision-Free Inverse Kinematics Using a Collision-Cost Prediction Network

RA-L 2022

In this letter, we present real-time collision-free inverse kinematics (RCIK) that accurately performs consecutively provided six-degrees-of-freedom commands in environments containing static and dynamic obstacles. Our method is based on an optimization-based IK approach to generate IK candidates wi

Cited by 17SourceScholar
2020

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

IROS 2020poster

A redundant manipulator has multiple inverse kinematics solutions per end-effector pose. Accordingly, there can be many trajectories for joints that follow a given end-effector path in the Cartesian space. In this paper, we present a trajectory optimization of a redundant manipulator (TORM) to synth…

Cited by 24SourceScholar
2019

Volumetric Tree*: Adaptive Sparse Graph for Effective Exploration of Homotopy Classes

IROS 2019poster

We present volumetric tree*, a hybridization of sampling-based and optimization-based motion planning. Volumetric tree* constructs an adaptive sparse graph with volumetric vertices, hyper-spheres encoding free configurations, using a sampling-based motion planner for a homotopy exploration. The coar…

Cited by 7SourceScholar