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SangMin Kim

7 accepted papers

2025

Dynamically-Consistent Trajectory Optimization for Legged Robots via Contact Point Decomposition

RA-L 2025

To generate reliable motion for legged robots through trajectory optimization, it is crucial to simultaneously compute the robot's path and contact sequence, as well as accurately consider the dynamics in the problem formulation. In this paper, we present a phase-based trajectory optimization that e

Cited by 1SourceScholar
2025

EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting

CVPR 2025poster

Recent advancements in 3D editing have highlighted the potential of text-driven methods in real-time, user-friendly AR/VR applications. However, current methods rely on 2D diffusion models without adequately considering multi-view information, resulting in multi-view inconsistency. While 3D Gaussian…

Cited by 58SourcePDFScholar
2024

Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean

COLING 2024main

Large language models (LLMs) use pretraining to predict the subsequent word; however, their expansion requires significant computing resources. Numerous big tech companies and research institutes have developed multilingual LLMs (MLLMs) to meet current demands, overlooking less-resourced languages (…

2024

X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment

NAACL 2024findings

The impressive development of large language models (LLMs) is expanding into the realm of large multimodal models (LMMs), which incorporate multiple types of data beyond text. However, the nature of multimodal models leads to significant expenses in the creation of training data. Furthermore, constr…

2022

Should a Robot Follow Social Norms? Human-Robot Interaction Design for Social Relations in Mixed Age Group

IROS 2022poster

Social relations within a group are one of the factors that build the social context. Less attention has been paid to social relations within a group for human-robot interaction design. In this study, we designed different types of service behaviors for social relations in a mixed age group and cond…

Cited by 4SourceScholar
2021

Effects of Conversational Contexts and Forms of Non-lexical Backchannel on User Perception of Robots

IROS 2021poster

A non-lexical backchannel is known to be dependent on the conversational context, and its form can be distinguished by the social relation between the speaker and the listener in the Korean language. Thus, to investigate the effect of a non-lexical backchannel, we conducted a 2 (context: information…

Cited by 3SourceScholar