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---
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type: "Journal Paper" # Conference Paper, Journal Paper, Ph.D. Thesis, Master's Thesis
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layout: publication # Do not change this
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group: publications # Do not change this
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title: "Output-Feedback Multi-Loop Positioning Technique via Dual Motor Synchronization Approach for Elevator System Applications" # Title of the paper
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krtitle: # only for domestic papers
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authors:
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- name: "Hyochan Lee"
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- name: "Hyeoncheol Lee"
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- name: "Jaekwang Lee"
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- name: "Hyunduck Choi"
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- name: "Kyunghwan Choi"
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- name: "Younghun Kim"
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- name: "Seokkyoon Kim"
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corresponding: true # true if this author is the corresponding author
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domestic_or_international: "International" # "International" or "Domestic"
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pub: # Publication information - REMOVE THIS FIELD IF NOT APPLICABLE!
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- name: "Energies"
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doi: "10.3390/en15239147" # Leave it blank if not applicable
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vol: "15" # Leave it blank if not applicable
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num: "23" # Leave it blank if not applicable
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pp: "" # Leave it blank if not applicable
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year: "2022" # Leave it blank if not applicable
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state: "published" # published, accepted, submitted
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pub_date: "2022-12-02" # Date of publication. Change Techrxiv (or other preprint) date to Journal date once published.
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image: "/static/pub/2022-output-feedback.png" # Representative image of the paper
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abstract: "
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This paper devises an output-feedback multi-loop positioning technique adopting the speed observer and multi-motor synchronizer, targeting the dual (master and slave) motor elevator system applications, providing the three contributions. First, the order-reduction observer continuously extracts the speed information from the motor position measurement, independent of the system model information. Second, the order-reduction stabilizer accomplishes the speed synchronization tasks for both the master and slave motors. Third, the resultant feedback system guarantees to exponentially recover the desired first-order transfer function from the reference to the actual motor position despite the model-plant mismatches. The prototype elevator system adopting the dual motor experimentally validates the practical advantages of the proposed technique.
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"
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# links: # additional links;
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# - name:
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# url:
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---
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---
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type: "Journal Paper" # Conference Paper, Journal Paper, Ph.D. Thesis, Master's Thesis
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layout: publication # Do not change this
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group: publications # Do not change this
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title: "Speed Tracking for Servo Systems via Active Pole-Zero Cancellation Stabilization Technique" # Title of the paper
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krtitle: "서보 시스템 응용을 위한 능동형 영-극점 상쇄 속도 추종 기술" # only for domestic papers
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authors:
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- name: "Hyochan Lee"
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- name: "Youngseok Lee"
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- name: "Kyunghwan Choi"
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- name: "Seokkyoon Kim"
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corresponding: true # true if this author is the corresponding author
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domestic_or_international: "Domestic" # "International" or "Domestic"
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pub: # Publication information - REMOVE THIS FIELD IF NOT APPLICABLE!
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- name: "Journal of Institute of Control, Robotics and Systems"
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doi: "10.5302/J.ICROS.2022.22.0137" # Leave it blank if not applicable
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vol: "28" # Leave it blank if not applicable
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num: "11" # Leave it blank if not applicable
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pp: "1045-1051" # Leave it blank if not applicable
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year: "2022" # Leave it blank if not applicable
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state: "published" # published, accepted, submitted
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pub_date: "2022-11-01" # Date of publication. Change Techrxiv (or other preprint) date to Journal date once published.
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image: "/static/pub/2022-speed-tracking.png" # Representative image of the paper
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abstract: "
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This study presents a novel speed-tracking controller by considering not only model-plant mismatches but also load variations. The proposed solution has a simple conventional proportional–integral (PI) controller structure, including a specially structured feedback gain with respect to active damping and cut-off frequency, invoking an order reduction to 1 despite inclusion of the additional integral action. A prototype 400 W brushless DC motor dynamo system was constructed to verify the effectiveness of the proposed solution compared with the conventional PI controller equipped with a well-tuned feedback gain.
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"
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# links: # additional links;
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# - name:
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# url:
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---
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---
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type: "Journal Paper" # Conference Paper, Journal Paper, Ph.D. Thesis, Master's Thesis
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layout: publication # Do not change this
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group: publications # Do not change this
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title: "A Current Sensor Fault-detecting Method for Electric Vehicle Battery Systems Based on Disturbance Observer" # Title of the paper
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krtitle: "외란 관측기를 사용한 전기차 배터리 시스템의 전류 센서 고장 감지 방법" # only for domestic papers
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authors:
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- name: "Kunwoo Na"
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- name: "Kyunghwan Choi"
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- name: "Wooyong Kim"
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corresponding: true # true if this author is the corresponding author
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domestic_or_international: "Domestic" # "International" or "Domestic"
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pub: # Publication information - REMOVE THIS FIELD IF NOT APPLICABLE!
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- name: "Journal of Institute of Control, Robotics and Systems"
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doi: "10.5302/J.ICROS.2023.23.0124" # Leave it blank if not applicable
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vol: "29" # Leave it blank if not applicable
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num: "12" # Leave it blank if not applicable
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pp: "1052-1059" # Leave it blank if not applicable
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year: "2023" # Leave it blank if not applicable
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state: "published" # published, accepted, submitted
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pub_date: "2023-06-01" # Date of publication. Change Techrxiv (or other preprint) date to Journal date once published.
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image: "/static/pub/2023-current-sensor-fault.png" # Representative image of the paper
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abstract: "
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In the pursuit of developing a fault-tolerant architecture for battery management systems, rapid detection and isolation are pivotal functions. This study presents a method for detecting current sensor faults in an electric vehicle battery management system. Electric vehicle battery systems are exposed to harsh operating conditions, which increases the risk of failures in various onboard components. The proposed current sensor fault detection method incorporates a state estimator and a disturbance observer based on a nonlinear battery cell model for estimating unknown currents. The disturbance observer can estimate the engaged current even when the current measurement is unavailable, thereby allowing the detection of current sensor faults by analyzing the residual between the estimated and measured currents. Experimental results conducted on a single battery cell demonstrate the successful detection of current sensor faults using the proposed method. This sensor fault detection method plays a crucial role in determining the operation of the backup algorithm.
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"
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# links: # additional links;
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# - name:
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# url:
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---
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---
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type: "Journal Paper" # Conference Paper, Journal Paper, Ph.D. Thesis, Master's Thesis
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layout: publication # Do not change this
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group: publications # Do not change this
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title: "A Current-sensor Error Compensation Algorithm for Battery Management Systems Based on Sigma-point Kalman Filter" # Title of the paper
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krtitle: "시그마–포인트 칼만 필터를 사용한 배터리 관리 시스템의 전류 센서 오차 보상 알고리즘" # only for domestic papers
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authors:
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- name: "Kunwoo Na"
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- name: "Youngkook Kim"
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- name: "Kyunghwan Choi"
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- name: "Wooyong Kim"
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corresponding: true # true if this author is the corresponding author
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domestic_or_international: "Domestic" # "International" or "Domestic"
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pub: # Publication information - REMOVE THIS FIELD IF NOT APPLICABLE!
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- name: "Journal of Institute of Control, Robotics and Systems"
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doi: "10.5302/J.ICROS.2024.24.0095" # Leave it blank if not applicable
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vol: "30" # Leave it blank if not applicable
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num: "10" # Leave it blank if not applicable
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pp: "1131-1138" # Leave it blank if not applicable
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year: "2024" # Leave it blank if not applicable
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state: "published" # published, accepted, submitted
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pub_date: "2024-04-01" # Date of publication. Change Techrxiv (or other preprint) date to Journal date once published.
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image: "/static/pub/2024-current-sensor.png" # Representative image of the paper
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abstract: "
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Because current information is the most crucial factor for the state estimation of battery management systems, it is essential to ensure the accuracy of the current-sensor built into battery systems. However, non-contact current-sensors, which are widely used in battery systems, are sensitive to operational conditions and the environment. The accuracy of the sensor is easily affected by various factors, such as temperature changes or unstable supply voltages. This study proposes a current-sensor error compensation algorithm to overcome the potential inaccuracies caused by various current-sensor faults. This method is based on the dual sigma-point Kalman filter, which enables simultaneous estimation of the internal states of the battery cell and the bias of the current measurement. To verify the effectiveness of the proposed method, three types of possible current-sensor errors step, ramp, and sinusoidal errors were subjected to current measurement. The effectiveness of the proposed algorithm was verified using a cylindrical battery cell, and the experimental results showed that the proposed method could estimate and compensate for all current measurement errors.
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"
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# links: # additional links;
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# - name:
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# url:
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---
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---
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type: "Journal Paper" # Conference Paper, Journal Paper, Ph.D. Thesis, Master's Thesis
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layout: publication # Do not change this
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group: publications # Do not change this
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title: "Current Status and Future Trends in Synchronous Machine Control Technologies: A Focus on Torque Control" # Title of the paper
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krtitle: "동기전동기 제어기술 동향 및 발전방향: 토크제어를 중심으로" # only for domestic papers
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authors:
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- name: "Kyunghwan Choi"
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- name: "Kyung-Soo Kim"
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corresponding: true # true if this author is the corresponding author
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domestic_or_international: "Domestic" # "International" or "Domestic"
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pub: # Publication information - REMOVE THIS FIELD IF NOT APPLICABLE!
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- name: "Journal of Institute of Control, Robotics and Systems"
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doi: "10.5302/J.ICROS.2024.24.0052" # Leave it blank if not applicable
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vol: "30" # Leave it blank if not applicable
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num: "4" # Leave it blank if not applicable
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pp: "479-491" # Leave it blank if not applicable
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year: "2024" # Leave it blank if not applicable
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state: "published" # published, accepted, submitted
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pub_date: "2024-04-01" # Date of publication. Change Techrxiv (or other preprint) date to Journal date once published.
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image: "/static/pub/2024-current-status.png" # Representative image of the paper
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abstract: "
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Synchronous machines (SMs) are pivotal in applications that demand high-performance operations, where their efficiency largely hinges on torque control. This paper delves into the current advancements in SM control technologies and emphasizes optimal torque control strategies. It outlines methodologies for addressing the optimal torque control problem and the acquisition of crucial SM parameter information. Moreover, the paper highlights novel approaches and significant findings in enhancing torque control performance, thus setting the stage for future research directions. The discussion extends to upcoming trends and pivotal technologies that are poised to shape the future of SM torque control.
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"
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# links: # additional links;
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# - name:
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# url:
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---

_publications/2025-CONAC-Robot.md

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- name: "Donghwa Hong"
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- name: "Kyunghwan Choi"
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corresponding: true # true if this author is the corresponding author
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# preprint:
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# - name: Techrxiv
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# doi: "10.36227/techrxiv.172954216.68720680/v1"
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# pdf: "/static/pub/2025-CONAC-Robot-Techrxiv.pdf"
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# state: "published"
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# year: "2024"
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pub:
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- name: IEEE Transactions on Systems, Man, and Cybernetics
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doi:
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pdf: "/static/pub/2025-CONAC-Robot.pdf"
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state: "submitted"
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preprint:
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- name: Techrxiv
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doi: "10.36227/techrxiv.172954216.68720680/v1"
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pdf: "/static/pub/2025-CONAC-Robot-Techrxiv.pdf"
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state: "published"
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year: "2024"
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# pub:
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# - name: IEEE Transactions on Systems, Man, and Cybernetics
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# doi:
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# year:
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# pdf: "/static/pub/2025-CONAC-Robot.pdf"
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# state: "submitted"
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pub_date: "2025-08-31" #Date of publication. Change from Biorxiv date to Journal date once accepted
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image: "/static/pub/2025-CONAC-Robot.png"
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github:

_publications/2025-car-planner.md

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year: 2025
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pdf: "/static/pub/2025-car-planner.pdf"
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state: "published" # published, accepted, submitted
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pub: # Publication information - REMOVE THIS FIELD IF NOT APPLICABLE!
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- name: IEEE International Conference on Robotics and Automation (ICRA)
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doi: # Leave it blank if not applicable
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vol: # Leave it blank if not applicable
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num: # Leave it blank if not applicable
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pp: # "380-385" # Leave it blank if not applicable
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year: "2026" # Leave it blank if not applicable
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state: "submitted" # published, accepted, submitted
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# pub: # Publication information - REMOVE THIS FIELD IF NOT APPLICABLE!
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# - name: IEEE International Conference on Robotics and Automation (ICRA)
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# doi: # Leave it blank if not applicable
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# vol: # Leave it blank if not applicable
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# num: # Leave it blank if not applicable
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# pp: # "380-385" # Leave it blank if not applicable
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# year: "2026" # Leave it blank if not applicable
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# state: "submitted" # published, accepted, submitted
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pub_date: "2025-11-20" # Date of publication. Change Techrxiv (or other preprint) date to Journal date once published.
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image: "/static/pub/2025-car-planner.png" # Representative image of the paper
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# github: # Leave this blank if not applicable

ach_check/ach.py

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FOLDER_PATH = "../_publications"
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TARGET_AUTHOR = "Kyunghwan Choi"
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METRICS_XLSX = "publications_metrics.xlsx"
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PLOT_PAPER_LIST = False
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PLOT_PAPER_LIST = 0
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def is_empty(value):
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"""
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