Younggeol Cho — accepted AI-conference papers

2025

Assisting Gait Stability in Walking Aid Users Exploiting Biomechanical Variables Correlation

Andrea Fortuna, Marta Lorenzini, Younggeol Cho, Robin Arbaud, Stefano Filippo Castiglia, Mariano Serrao +3

RA-L 2025

Walking aids for individuals with musculoskeletal frailty or motor disabilities must ensure adequate physical support and assistance to their users. To this end, sensor-enabled human state monitoring and estimation are crucial. This paper proposes an innovative approach to assessing users' stability

Cited by 0 Source ↗Scholar ↗

2024

A Personalizable Controller for the Walking Assistive omNi-Directional Exo-Robot (WANDER)

Andrea Fortuna, Marta Lorenzini, Mattia Leonori, Juan M. Gandarias, Pietro Balatti, Younggeol Cho +2

ICRA 2024poster

Preserving and encouraging mobility in the elderly and adults with chronic conditions is of paramount importance. However, existing walking aids are either inadequate to provide sufficient support to users’ stability or too bulky and poorly maneuverable to be used outside hospital environments. In a…

Cited by 3 Source ↗Scholar ↗

2024

A User- and Slope-Adaptive Control Framework for a Walking Aid Robot

Younggeol Cho, Marta Lorenzini, Andrea Fortuna, Mattia Leonori, Arash Ajoudani

RA-L 2024

Walking aid robots have been developed for elderly people or patients facing difficulties while walking. However, most of them are designed only for flat ground, must rely on handles, and have drawbacks such as oscillation and lack of stability. The primary goal of this research is to improve the tr

Cited by 1 Source ↗Scholar ↗

2024

MetaWeather: Few-Shot Weather-Degraded Image Restoration

Youngrae Kim*, Younggeol Cho, Thanh-Tung Nguyen, Seunghoon Hong, Dongman Lee*

ECCV 2024poster

"Real-world weather conditions are intricate and often occur concurrently. However, most existing restoration approaches are limited in their applicability to specific weather conditions in training data and struggle to generalize to unseen weather types, including real-world weather conditions. To…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2023

GoonDAE: Denoising-Based Driver Assistance for Off-Road Teleoperation

Younggeol Cho, Hyeonggeun Yun, Jinwon Lee, Arim Ha, Jihyeok Yun

RA-L 2023

Due to the limitations of autonomous driving technology, teleoperation is used extensively in hazardous environments such as military operations. However, the performance of teleoperated driving is primarily influenced by the driver's skill level. In other words, unskilled drivers need extensive tra

Cited by 5 Source ↗Scholar ↗

2023

Simultaneous Sensory Feedback Strategy for Force and Position of Gripper Based on TENS

Younggeol Cho, Byungwook Lee, YeongSeok Lee, Kyung-Soo Kim

RA-L 2023

We present a transcutaneous electrical nerve stimulation (TENS) based sensory feedback strategy to simultaneously transmit two senses through a single channel for giving force and position information of the gripper to the user. The two sensations were delivered by mixing two differently shaped curr

Cited by 5 Source ↗Scholar ↗

2022

The MSC Prosthetic Hand: Rapid, Powerful, and Intuitive

Younggeol Cho, YeongSeok Lee, Pyungkang Kim, Seokhwan Jeong, Kyung-Soo Kim

RA-L 2022

Amputees suffer from the weight, insufficient power, and uncomfortable control methods of their prostheses. Recent studies have introduced many ideas for both hardware and software to tackle these problems. In this letter, the authors introduce a preliminary platform of a robotic prosthetic hand sys

Cited by 19 Source ↗Scholar ↗