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Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation

Autor: Lee, Daehee, Yoo, Minjong, Kim, Woo Kyung, Choi, Wonje, Woo, Honguk

Continual Imitation Learning (CiL) involves extracting and accumulating task knowledge from demonstrations across multiple stages and tasks to achieve a multi-task policy. With recent advancements in foundation models, there has been a growing intere

Externí odkaz: http://arxiv.org/abs/2410.22658

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Segmented readout for Cherenkov time-of-flight positron emission tomography detectors based on bismuth germanate

Autor: Yi, Minseok, Lee, Daehee, Gola, Alberto, Merzi, Stefano, Penna, Michele, Lee, Jae Sung, Cherry, Simon R., Kwon, Sun Il

Positron emission tomography (PET) is the most sensitive biomedical imaging modality for non-invasively detecting and visualizing positron-emitting radiopharmaceuticals within a subject. In PET, measuring the time-of-flight (TOF) information for each

Externí odkaz: http://arxiv.org/abs/2410.12161

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Cross-Detection and Dual-Side Monitoring Schemes for FPGA-Based High-Accuracy and High-Precision Time-to-Digital Converters

Autor: Lee, Daehee, Yi, Minseok, Kwon, Sun Il

This study presents a novel field-programmable gate array (FPGA)-based Time-to-Digital Converter (TDC) design suitable for high timing resolution applications, utilizing two new techniques. First, a cross-detection (CD) method is introduced that mini

Externí odkaz: http://arxiv.org/abs/2410.09317

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FPGA-based digitizer for BGO-based time-of-flight PET

Autor: Lee, Daehee, Kwon, Sun Il

We present a novel FPGA-based bismuth germanate (BGO) time-of-flight (TOF) digitizer, implemented on an FPGA (VC707 evaluation kit, Xilinx). This digitizer was designed to address the recently highlighted characteristics of BGO, which generates scint

Externí odkaz: http://arxiv.org/abs/2410.09313

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One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill

Autor: Shin, Sangwoo, Lee, Daehee, Yoo, Minjong, Kim, Woo Kyung, Woo, Honguk

One-shot imitation is to learn a new task from a single demonstration, yet it is a challenging problem to adopt it for complex tasks with the high domain diversity inherent in a non-stationary environment. To tackle the problem, we explore the compos

Externí odkaz: http://arxiv.org/abs/2402.08369

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