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Your search keyword '"Lee, Yu-Cheol"' showing total 25 results
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25 results on '"Lee, Yu-Cheol"'

5. Special issue on autonomous unmanned aerial/ground vehicles and their applications.

Author

Kim, Joongheon, Lee, Yu‐Cheol, Lee, Jun Hwan, and Choi, Jin Seek

Subjects
REMOTELY piloted vehicles, DRONE aircraft, OBJECT recognition (Computer vision), OBJECT tracking (Computer vision), DEEP learning, MARKOV random fields, INERTIAL navigation systems
Abstract

3 J. Yang and S. Lee, Ultra-wideband coupled relative positioning algorithm applicable to flight controller for multidrone collaboration, ETRI J. 45 (2023), no. 5. In a UAV-assisted surveillance system, UAVs are equipped with learning-based object recognition models and can collect surveillance images. Keywords: drones; UAV; unmanned autonomous vehicles; unmanned ground vehicles EN drones UAV unmanned autonomous vehicles unmanned ground vehicles 731 734 4 10/31/23 20231001 NES 231001 Recently, research on autonomous mobility control has been actively and widely conducted for various applications. [Extracted from the article]

Published
2023
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6. StARformer: Transformer With State-Action-Reward Representations for Robot Learning

Author

Shang, Jinghuan, Li, Xiang, Kahatapitiya, Kumara, Lee, Yu-Cheol, and Ryoo, Michael S.

Abstract

Reinforcement Learning (RL) can be considered as a sequence modeling task, where an agent employs a sequence of past state-action-reward experiences to predict a sequence of future actions. In this work, we propose State-Action-Reward Transformer (StARformer), a Transformer architecture for robot learning with image inputs, which explicitly models short-term state-action-reward representations (StAR-representations), essentially introducing a Markovian-like inductive bias to improve long-term modeling. StARformer first extracts StAR-representations using self-attending patches of image states, action, and reward tokens within a short temporal window. These StAR-representations are combined with pure image state representations, extracted as convolutional features, to perform self-attention over the whole sequence. Our experimental results show that StARformer outperforms the state-of-the-art Transformer-based method on image-based Atari and DeepMind Control Suite benchmarks, under both offline-RL and imitation learning settings. We find that models can benefit from our combination of patch-wise and convolutional image embeddings. StARformer is also more compliant with longer sequences of inputs than the baseline method. Finally, we demonstrate how StARformer can be successfully applied to a real-world robot imitation learning setting via a human-following task.

Published
2023
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10. Exploring the Possibility of Semantic Map Data Representation as an Extension of the IEEE 2D and 3D Map Data Representation Standards

Author

Yu, Wonpil, Amigoni, Francesco, Kucner, Tomasz Piotr, Lee, Yu-Cheol, Yu, Wonpil, Amigoni, Francesco, Kucner, Tomasz Piotr, and Lee, Yu-Cheol

Abstract

This paper describes 2D specifications of the IEEE Map Data Representation (MDR) standard and introduces the ongoing efforts for developing 3D MDR specifications. The 2D MDR standard is well-suited for current robot applications utilizing 2D maps, which may include autonomous road navigation, robotic logistic systems, defense and rescue robots, and service robots for personal or domestic applications. In addition to their original purpose as a common format for representing the spatial environment for robot navigation, the developed MDR standards are expected to contribute to promote development of good experimental methodologies for mobile robotics as a valuable tool for facilitating comparison and evaluation of maps obtained from different systems or methodologies.

Published
2020

16. The Korean Version of the University of California San Diego Performance-based Skills Assessment: Reliability and Validity

Author

Kim, Sung-Jin, primary, Kim, Jung-Min, additional, Shim, Joo-Cheol, additional, Seo, Beom-Joo, additional, Jung, Sung-Soo, additional, Ryu, Jeoung-Whan, additional, Seo, Young-Soo, additional, Lee, Yu-Cheol, additional, Moon, Jung-Joon, additional, Jeon, Dong-Wook, additional, Park, Kyoung-Duck, additional, and Jung, Do-Un, additional

Published
2017
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24. The F type mitochondrial genome of hard-shelled mussel: Mytilus coruscus (Mytiloida, Mytilidae).

Author

Lee, Yu-Cheol and Lee, Youn-Ho

Subjects
*MUSSELS, *MITOCHONDRIAL DNA, *MYTILOIDA, *RIBOSOMAL RNA, *TRANSFER RNA
Abstract

We determined the complete mitochondrial genome of the female hard-shelled musselMytilus coruscus(Gould, 1869) (F type). The F type genome is composed of 16,642 bp in length including 12 protein coding genes (PCGs), 2 rRNA and 23 tRNA with the same gene content and order as the otherMytilusspecies which is characterized by the absence of the ATPase8 gene and addition of tRNAMet(AUA). The nucleotide composition of the genome shows that the percentage of A+T (63.2%) is higher than those ofM. eduliscomplex species (M. edulis, M. galloprovincialis, M. trossulus) but lower than that ofM. californianus. The F type mitochondrial genome ofM. coruscuswill provide useful information on the evolutionary history of theMytilusspecies in the family Mitilidae. [ABSTRACT FROM AUTHOR]

Published
2016
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25. The complete mitochondrial genome of the marine polychaete: Perinereis aibuhitensis (Phyllodocida, Nereididae).

Author

Kim, Hana, Jung, Gila, Lee, Yu-Cheol, Pae, Se-Jin, Kim, Choong-Gon, and Lee, Youn-Ho

Subjects
GENOMICS, PHYLLODOCIDA, NEREIDAE, MITOCHONDRIA, NUCLEOTIDE sequence, GENETIC code, STOP codons
Abstract

We determined the complete mitochondrial genome sequence of the marine polychaetePerinereis aibuhitensis(Grube, 1878) (Phyllodocida, Nereididae), a dominant species in the mudflat of the West Pacific and Indian Ocean. The complete genome ofP. aibuhitensisis 15,852 bp in size including 13 protein coding genes (PCGs), 2 rRNA and 22 tRNA with the same gene order and structure as those of other Nereididae species. The nucleotide composition is 29.5% A, 21.2% C, 14.1% G, 35.2% T, showing a high content of A + T with G being used least in the third codon position (6.7%). All PCGs use ATG as the start codon while for the stop codon COI and ND1 use incomplete codon of T. The mitogenome sequence ofP. aibuhitensisis second to that ofP. nuntiaknown in the genusPerinereis,which will provide useful information for understanding evolutionary history of the genusPerinereiswithin the family Nereididae. [ABSTRACT FROM PUBLISHER]

Published
2015
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