Perceptive Motion Planning with Friction Constraints for Quadruped Robot Locomotion

Wookjin Ahn, Hosun Kang, Jaehoon An, Hyeonje Cha, Hwayoung Song, Inho Lee

The legged robots, such as quadruped robots, have the advantage of being able to traverse through complex, challenging environments. For this to be possible, th...

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DOI: https://doi.org/10.7746/jkros.2025.20.1.001

Coordinated Multi-Robot Platooning via Prioritized Velocity Planning

Hyunki Seong, Seongwoo Moon, D. Hyunchul Shim, Wooyeol Kim, Sunwoo Baek

Coordinated platooning in unstructured environments requires complex planning to enable multiple robots to form a group. The planner should maintain safe distan...

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DOI: https://doi.org/10.7746/jkros.2025.20.1.012

An Analysis of Research Trends on Social Robots in Korea Using Keyword Network Analysis and CONCOR Analysis

Jinju Kwon

The purpose of this study is to examine the trends in domestic social robot research and suggest future research directions. A descriptive statistical analysis,...

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DOI: https://doi.org/10.7746/jkros.2025.20.1.021

Development of Efficient Shoulder Assistive Device Utilizing Scapulohumeral Rhythm Characteristic

Minki Sin, Kiyoung Kim, Jang Ho Cho, Keewon Kim, Sun Gun Chung, Kyu-Jin Cho

Exoskeletal assistive devices designed for human motion assistance must ensure user comfort and minimize resistive forces during movement. This requires the dev...

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DOI: https://doi.org/10.7746/jkros.2025.20.1.032

Topological Map Building based on Multi-modal LLM

Changjo Choi, Jong-Wan Won, Gyuho Eoh

This paper presents a novel approach to building topological maps based on a multi-modal large language model (MLLM). Traditional methods for building topologic...

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DOI: https://doi.org/10.7746/jkros.2025.20.1.040

Neuro-Symbolic Task Replanning using Large Language Models

Minseo Kwon, Young J. Kim

We introduce a novel task replanning algorithm that combines a symbolic task planner with a multimodal Large Language Model (LLM). Our algorithm starts by descr...

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DOI: https://doi.org/10.7746/jkros.2025.20.1.052

Proleptic Temporal Ensemble for Improving the Speed of Robot Tasks Generated by Imitation Learning

Hyeonjun Park, Daegyu Lim, Seungyeon Kim, Sumin Park

Imitation learning, which enables robots to learn behaviors from demonstrations by humans, has emerged as a promising solution for generating robot motions in s...

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DOI: https://doi.org/10.7746/jkros.2025.20.1.061

Development of Novel Body Center of Pressure Estimation System Based on Tactile Sensor and Deep Learning Models

Jaehyeon Baik, Yunho Choi, Kyung-Joong Kim, Hosu Lee

The Center of Pressure (CoP) is utilized as an essential indicator for assessing the body’s balance. CoP reflects the state of balance and is important in evalu...

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DOI: https://doi.org/10.7746/jkros.2025.20.1.069

sLLM-based Korean Text-to-Motion Retrieval System Using CNN

Jiwon Choi, Kwang-Hyun Park

In this paper, we propose a novel approach to improve the performance of Korean text-based 3D human motion retrieval. Previous studies have failed to adequately...

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DOI: https://doi.org/10.7746/jkros.2025.20.1.077

GG-SLAM: An Object-Level SLAM System Using Gaussian Grouping and Splatting

Hyundo Jung, Gon-woo Kim

Simultaneous Localization and Mapping (SLAM) is crucial for applications such as autonomous driving, robot navigation, and 3D reconstruction. With advancements ...

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DOI: https://doi.org/10.7746/jkros.2025.20.1.084