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Young Jin Heo

9 accepted papers

2026

Development of a Testbed and Quantitative Evaluation Framework for Characterization of Robot Actuator Dynamics

ICRA 2026poster

The performance of robot actuators is still primarily evaluated using manufacturer-provided static specifications such as maximum torque and rated speed. However, these metrics are insufficient for assessing dynamic behaviors that are essential for physical interaction, including backdrivability, tr…

Cited by 0Scholar
2026

Learning Fast, Tool-Aware Collision Avoidance for Collaborative Robots

ICRA 2026poster

Ensuring safe and efficient operation of collaborative robots in human environments is challenging, especially in dynamic settings where both obstacle motion and tasks change over time. Current robot controllers typically assume full visibility and fixed tools, which can lead to collisions or overly…

2025

Learning Fast, Tool-Aware Collision Avoidance for Collaborative Robots

RA-L 2025

Ensuring safe and efficient operation of collaborative robots in human environments is challenging, especially in dynamic settings where both obstacle motion and tasks change over time. Current robot controllers typically assume full visibility and fixed tools, which can lead to collisions or overly

Cited by 1SourceScholar
2019

Collision Detection for Industrial Collaborative Robots: A Deep Learning Approach

RA-L 2019

With increased human-robot interactions in industrial settings, a safe and reliable collision detection framework has become an indispensable element of collaborative robots. The conventional framework detects collisions by estimating collision monitoring signals with a particular type of observer,

Cited by 157SourceScholar
2018

Super-High-Purity Seed Sorter Using Low-Latency Image-Recognition Based on Deep Learning

RA-L 2018

Most commercial optical sorting systems are designed to achieve high throughput, so they use a naive low-latency image processing for object identification. These naive low-latency algorithms have difficulty in accurately identifying objects with various shapes, textures, sizes, and colors, so the p

Cited by 49SourceScholar
2016

Feedback control of inertial focusing using real-time extraction of equilibrium positions

ICRA 2016

Inertial microfluidics has facilitated promising applications of lab-on-a-chip devices for high-throughput biological analysis. However, as the mechanism of inertial microfluidics remains largely unknown, there are many difficulties in obtaining the desired equilibrium positions; hence, most researc

Cited by 0SourceScholar
2016

On-chip automation of sequential flow switching with serially connectable fluidic monostable multivibrator

IROS 2016poster

We propose a fluidic monostable multivibrator (fMMV) circuit, which is a new flow-switching mechanism in microfluidic chips. Flow control using parallel fMMV circuits does not require an external controller; this is a distinct advantage over various conventional micro-flow control methods. The fMMV…

Cited by 0SourceScholar
2015

A hybrid actuator system for single particle manipulation on a microfluidic chip

ICRA 2015poster

We developed a ‘hybrid actuator system’ to precisely control the position of a micro-particle at high speed in a microfluidic chip. The hybrid actuator system benefits from two actuator systems by combining an electroosmotic flow generator and pressure-driven flow induced by a piezoelectric actuator…

Cited by 6SourceScholar