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๐Ÿ” peter t. kim ๐Ÿ“‚ Engineering
Showing 5758 results for "peter t. kim" in Engineering
Engineering Preprint PDF DOI

Learning-Based Hierarchical Scene Graph Matching for Robot Localization Leveraging Prior Maps

Nimrod Millenium Ndulue, Jose Andres Millan-Romera, Matteo Giorgi, Holger Voos, Jose Luis Sanchez-Lopez ยท 2026

Accurate localization is a fundamental requirement for autonomous robots operating in indoor environments. Scene graphs encode the spatial structure of an environment as a hierarchy of semantic entitiโ€ฆ

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Engineering Preprint PDF DOI

An Experimental Modular Instrument With a Haptic Feedback Framework for Robotic Surgery Training

Walid Shaker, Mustafa Suphi Erden ยท 2026

Robotic-assisted surgery offers significant clinical advantages but largely eliminates direct haptic feedback, increasing the risk of excessive tool-tissue interaction forces. Although recent commerciโ€ฆ

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Engineering Preprint PDF DOI

DOT-Sim: Differentiable Optical Tactile Simulation with Precise Real-to-Sim Physical Calibration

Yang You, Won Kyung Do, Aiden Swann, Rika Antonova, Monroe Kennedy, Leonidas Guibas ยท 2026

Simulating optical tactile sensors presents significant challenges due to their high deformability and intricate optical properties. To address these issues and enable a physically accurate simulationโ€ฆ

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Engineering Preprint PDF DOI

A Comparative study on THz Communication Systems: Photonics versus Electronics Approaches

Talha Rahman, Murat Uysal ยท 2026

Terahertz (THz) communication has emerged as a key enabler for sixth-generation (6G) networks, offering ultrawide bandwidths to support data-intensive applications such as holographic telepresence andโ€ฆ

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Engineering Preprint PDF DOI

Optimizing Tracking Accuracy in Energy-Constrained Multimodal ISAC via Lyapunov-Driven Heterogeneous Mixture-of-Experts

Wenqi Fan, Ning Wei, Ahmad Bazzi, Rongyan Xi, Zhixian Song, You Li, Zhihan Zeng, Yue Xiu, Chadi Assi ยท 2026

The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous high-resolution visuaโ€ฆ

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Engineering Preprint PDF DOI

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization

Bahar Oveisgharan, Gene Cheung, Andrew Eckford ยท 2026

We aim to learn a sparse and connected graph from sparse data, where the number of observations K can be substantially smaller than the signal dimension N for signals x in R^N, and the underlying distโ€ฆ

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Engineering Preprint PDF DOI

Risk Assessments for Evasive Emergency Maneuvers in Autonomous Vehicles

Aliasghar Arab, Milad Khaleghi, Koorosh Aslansefat ยท 2026

This paper presents a systematic verification and validation (V\&V) framework for the Evasive Minimum Risk Maneuver (EMRM) feature in autonomous vehicles, addressing a critical gap in existing safety โ€ฆ

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Engineering Preprint PDF DOI

Passage-Aware Structural Mapping for RGB-D Visual SLAM

Ali Tourani, Miguel Fernandez-Cortizas, Saad Ejaz, David Perez Saura, Asier Bikandi-Noya, Jose Luis Sanchez-Lopez, Holger Voos ยท 2026

Doorways and passages are critical structural elements for indoor robot navigation, yet they remain underexplored in modern Visual SLAM (VSLAM) frameworks. This paper presents a passage-aware structurโ€ฆ

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Engineering Preprint PDF DOI

CONCERTO: Characterization of analog readout electronics

Mounir Abdkrimi (NEEL - MagSup), Olivier Rossetto (LPSC), O. Bourrion (LPSC), Christophe Vescovi (LPSC), C. Hoarau (LPSC) ยท 2026

CONCERTO is a millimeter-wave imaging instrument that operated on the Atacama Pathfinder Experiment (APEX) telescope from April 2021 to May 2023. Its primary scientific objectives include the study ofโ€ฆ

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Engineering Preprint PDF DOI

Betting for Sim-to-Real Performance Evaluation

Zaid Mahboob, Yujia Chen, Bowen Weng ยท 2026

This paper studies the problem of robot performance evaluation, focusing on how to obtain accurate and efficient estimates of real-world behavior under severe constraints on physical experimentation. โ€ฆ

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Engineering Preprint PDF DOI

Real-Time Non-Contact Force Compensation for Wrist-Mounted Force/Torque Sensors in Haptic-Enabled Robotic Surgery Training

Walid Shaker, Mustafa Suphi Erden ยท 2026

Haptic feedback has been a long-missed feature in robotic-assisted surgery, one that would allow surgeons to perceive tissue properties and apply controlled forces during delicate procedures. Althoughโ€ฆ

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Engineering Preprint PDF DOI

Tube Diffusion Policy: Reactive Visual-Tactile Policy Learning for Contact-rich Manipulation

Teng Xue, Alberto Rigo, Bingjian Huang, Jiayi Shen, Zhengtong Xu, Nick Colonnese, Amirhossein H. Memar ยท 2026

Contact-rich manipulation is central to many everyday human activities, requiring continuous adaptation to contact uncertainty and external disturbances through multi-modal perception, particularly viโ€ฆ

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Engineering Preprint PDF DOI

EgoLive: A Large-Scale Egocentric Dataset from Real-World Human Tasks

Yihang Li, Xuelong Wei, Jingzhou Luo, Yingjing Xiao, Yibo Bai, Guangyuan Zhou, Teng Zou, Chenguang Gui, Jiajun Wen, He Zhang, Kangliang Chen, Xing Pan, Shuaiyan Liu, Daming Wang, Tao An, Jiayi Li, Shibo Jin, Wanwan Zhang, Tianyu Wang, Boren Wei, Zhixuan Huang, Fangsheng Liu, Ruodai Li, Hui Zhang, Anson Li, Yicheng Gong, Peng Cao, Jiaming Liang, Liang Lin ยท 2026

The advancement of robot learning is currently hindered by the scarcity of large-scale, high-quality datasets. While established data collection methods such as teleoperation and universal manipulatioโ€ฆ

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Engineering Preprint PDF DOI

Private and Common Information States in Decentralized Parallel Dynamic Programming for Delayed Sharing Patterns

Charalambos D. Charalambous, Umarbek Guvercin, Seddik Djouadi ยท 2026

This paper develops a dynamic programming (DP) approach for decentralized stochastic optimal control problems with delayed sharing information patterns, which exhibits the fundamental Properties of clโ€ฆ

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Engineering Preprint PDF DOI

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley ยท 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to stโ€ฆ

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Engineering Preprint PDF DOI

An Algebraic State Observer for a Class of Physical Systems

Alexey Bobtsov, Jose Guadalupe Romero, Romeo Ortega, Anton Pyrkin ยท 2026

In this paper we present a radically new approach to design state observers for nonlinear systems, with particular emphasis on physical ones. Our objective is to obtain an algebraic relation between tโ€ฆ

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Engineering Preprint PDF DOI

Integrated Lander-Propulsion-GNC Framework for Autonomous Lunar Powered Descent

Emre Aklan, Fatih Seker, Bekir Gencalioglu, Mehmet Batuhan Kaya, Yigit Serceoglu, Furkan Yavuz, Omer Burak Iskender, Burak Yaglioglu ยท 2026

This paper presents an integrated lander-propulsion-GNC framework for autonomous lunar powered descent. The BUG VTVL test vehicle serves as the reference platform, with the YUNT V0 throttleable bipropโ€ฆ

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Engineering Preprint PDF DOI

RecoverFormer: End-to-End Contact-Aware Recovery for Humanoid Robots

Zihui Liu ยท 2026

Humanoid robots operating in unstructured environments must recover from unexpected disturbances-a capability that remains challenging for end-to-end control policies. We present RECOVERFORMER, a fullโ€ฆ

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Engineering Preprint PDF DOI

Information-Theoretic Geometry Optimization and Physics-Aware Learning for Calibration-Free Magnetic Localization

Wenxuan Xie, Yuelin Zhang, Qingpeng Ding, Jianghua Chen, Jiewen Tan, Jiwei Shan, Shing Shin Cheng ยท 2026

Wireless localization of permanent magnets enables occlusion-free guidance for medical interventions, yet its practical accuracy is fundamentally limited by two coupled challenges: the poor observabilโ€ฆ

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Engineering Preprint PDF DOI

Advancing automatic speech recognition using feature fusion with self-supervised learning features: A case study on Fearless Steps Apollo corpus

Szu-Jui Chen, John H.L. Hansen ยท 2026

Using self-supervised learning (SSL) models has significantly improved performance for downstream speech tasks, surpassing the capabilities of traditional hand-crafted features. This study investigateโ€ฆ

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