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Current Issue
Sewan Gu, Youngjae Kim
This paper presents the development and implementation of an AI agent system that leverages a large language model (LLM) to control an autonomous driving robot ...
Optimization of Autonomous Controls Systems using Vision-Language Model for Maritime Robotics
Min-Jung Kim, Tae-Yeon Kim, Byung-Mo Kim, Woen-Sug Choi
In the recent developments, contrary to previous question-answering systems, VLMs (Vision–Language Models) are capable to analyze the semantic meaning with visu...
Continuous Sign Language Recognition for Task Planning in Human-robot Interaction
Minje Cho, Jaepil Ban
In real-world human-robot interaction (HRI) environments, voice-based interfaces often face limitations due to noise, language barriers, and communication with ...
Revisiting Uncertainty in Language-driven Navigation
Alex Junho Lee, Dong Jin Hyun
Language-driven navigation is a key challenge for autonomous robots, requiring the integration of natural language understanding with robust perception and loca...
Learning-Based Sampling Strategies Leveraging Bidirectional Motion Planning Characteristics
Suhyun Jeon, Minsoo Kim, Junwon Jang, Minsu Chang, Jaeheung Park
This study proposes a stepwise sampling strategy for manipulator motion planning that enhances learned sampling distributions for bidirectional sampling based a...
Transformer-Based Response Technique for Dynamic Battlefield Incidents in Multi-Agent Systems
Seong-Min Kim, Hee-Yeon Kim, Jae-Ho Lee, Min-Ji Hong, Han-Lim Choi
This study proposes a transformer-based approach for real-time response to dynamic battlefield incidents in heterogeneous multi-agent environments consisting of...
Joon Cho, Choulsoo Jang, Changeun Lee, Kyunam Kim
Visual Question Answering (VQA) effectively addresses semantic queries about objects in an image but remains limited in inferring physical properties such as in...
Hyunki Seong, Seongwoo Moon, Jehun Kang, Hojin Ahn, David Hyunchul Shim, Jooyoung Kim, Jaeyun Cho, Junwoo Jung
End-to-end driving has emerged as a promising approach for learning complex driving behaviors directly from human demonstrations. However, its heavy reliance on...
Design and Modeling of a Compliant Spoke Track Mechanism for Absorbing Impacts on Uneven Terrain
Yongho Kwon, Hanbom Kim, Seungjun Kim, Jeongmo Yang, TaeWon Seo
This study proposes a Compliant Spoke Track (CST) mechanism that integrates suspensions directly into the rotating components of a single-track system, enabling...
HyoJae Kang, HeeJun Kim, Min-Sung Kang
This study introduces a new type of two-finger end-effector designed to enable a single robotic manipulator to perform manipulation tasks that typically require...

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