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Showing 56 results for "matej hoffmann" in Engineering · Preprint
Engineering Preprint PDF DOI

Scale-Invariant Sampling in Multi-Arm Bandit Motion Planning for Object Extraction

Servet B. Bayraktar, Andreas Orthey, Marc Toussaint · 2026

Object extraction tasks often occur in disassembly problems, where bolts, screws, or pins have to be removed from tight, narrow spaces. In such problems, the distance to the environment is often on th…

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Engineering Preprint PDF DOI

Olfactory pursuit: catching a moving odor source in complex flows

Maurizio Carbone, Lorenzo Piro, Robin A. Heinonen, Luca Biferale, Massimo Cencini, Antonio Celani · 2026

Locating and intercepting a moving target from possibly delayed, intermittent sensory signals is a paradigmatic problem in decision-making under uncertainty, and a fundamental challenge for, e.g., ani…

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Engineering Preprint PDF DOI

Jutted BMOCZ for Non-Coherent OFDM

Parker Huggins, Alphan Sahin · 2026

In this work, we propose a zero constellation for binary modulation on conjugate-reciprocal zeros (BMOCZ), called jutted BMOCZ (J-BMOCZ), and study its application to non-coherent orthogonal frequency…

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Engineering Preprint PDF DOI

MATE: Matryoshka Audio-Text Embeddings for Open-Vocabulary Keyword Spotting

Youngmoon Jung, Myunghun Jung, Joon-Young Yang, Yong-Hyeok Lee, Jaeyoung Roh, Hoon-Young Cho · 2026

Open-vocabulary keyword spotting (KWS) with text-based enrollment has emerged as a flexible alternative to fixed-phrase triggers. Prior utterance-level matching methods, from an embedding-learning sta…

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Engineering Preprint PDF DOI

TxSum: User-Centered Ethereum Transaction Understanding with Micro-Level Semantic Grounding

Zifan Peng, Jingyi Zheng, Yule Liu, Huaiyu Jia, Qiming Ye, Jingyu Liu, Xufeng Yang, Mingchen Li, Qingyuan Gong, Xuechao Wang, Xinlei He · 2025

Understanding the economic intent of Ethereum transactions is critical for user safety, yet current tools expose only raw on-chain data or surface-level intent, leading to widespread "blind signing" (…

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Engineering Preprint PDF DOI

GrOMP: Grasped Object Manifold Projection for Multimodal Imitation Learning of Manipulation

William van den Bogert, Gregory Linkowski, Nima Fazeli · 2025

Imitation Learning (IL) holds great potential for learning repetitive manipulation tasks, such as those in industrial assembly. However, its effectiveness is often limited by insufficient trajectory p…

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Engineering Preprint PDF DOI

Learning Zero Constellations for Binary MOCZ in Fading Channels

Anthony Joseph Perre, Parker Huggins, Alphan Sahin · 2025

In this work, we propose two methods to design zero constellations for binary modulation on conjugate-reciprocal zeros (BMOCZ). In the first approach, we treat constellation design as a multi-label bi…

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Engineering Preprint PDF DOI

MATER: Multi-level Acoustic and Textual Emotion Representation for Interpretable Speech Emotion Recognition

Hyo Jin Jon, Longbin Jin, Hyuntaek Jung, Hyunseo Kim, Donghun Min, Eun Yi Kim · 2025

This paper presents our contributions to the Speech Emotion Recognition in Naturalistic Conditions (SERNC) Challenge, where we address categorical emotion recognition and emotional attribute predictio…

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Engineering Preprint PDF DOI

A Smooshed BMOCZ Zero Constellation for CFO Estimation Without Channel Coding

Anthony Joseph Perre, Parker Huggins, Alphan Sahin · 2025

In this study, we propose a new binary modulation on conjugate-reciprocal zeros (BMOCZ) zero constellation, which we call smooshed binary modulation on conjugate-reciprocal zeros (SBMOCZ), to address …

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Engineering Preprint PDF DOI

Fourier-Domain CFO Estimation Using Jutted Binary Modulation on Conjugate-Reciprocal Zeros

Parker Huggins, Anthony Joseph Perre, Alphan Sahin · 2025

In this work, we propose jutted binary modulation on conjugate-reciprocal zeros (J-BMOCZ) for non-coherent communication under a carrier frequency offset (CFO). By introducing asymmetry to the Huffman…

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Engineering Preprint PDF DOI

Goal-Oriented Source Coding using LDPC Codes for Compressed-Domain Image Classification

Ahcen Aliouat, Elsa Dupraz · 2025

In the emerging field of goal-oriented communications, the focus has shifted from reconstructing data to directly performing specific learning tasks, such as classification, segmentation, or pattern r…

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Engineering Preprint PDF DOI

A Passive Mechanical Add-on for Treadmill Exercise (P-MATE) in Stroke Rehabilitation

Irene L. Y. Beck, Belle C. Hopmans, Bram Haanen, Levi Kieft, Heike Vallery, Laura Marchal-Crespo, Katherine L. Poggensee · 2025

Robotic rehabilitation can deliver high-dose gait therapy and improve motor function after a stroke. However, for many devices, high costs and lengthy setup times limit clinical adoption. Thus, we des…

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Engineering Preprint PDF DOI

A CSI Feedback Framework based on Transmitting the Important Values and Generating the Others

Zhilin Du, Zhenyu Liu, Haozhen Li, Shilong Fan, Xinyu Gu, Lin Zhang · 2024

The application of deep learning (DL)-based channel state information (CSI) feedback frameworks in massive multiple-input multiple-output (MIMO) systems has significantly improved reconstruction accur…

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Engineering Preprint PDF DOI

A Behavior Architecture for Fast Humanoid Robot Door Traversals

Duncan Calvert, Luigi Penco, Dexton Anderson, Tomasz Bialek, Arghya Chatterjee, Bhavyansh Mishra, Geoffrey Clark, Sylvain Bertrand, Robert Griffin · 2024

Towards the role of humanoid robots as squad mates in urban operations and other domains, we identified doors as a major area lacking capability development. In this paper, we focus on the ability of …

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Engineering Preprint PDF DOI

Realtime Global Optimization of a Fail-Safe Emergency Stop Maneuver for Arbitrary Electrical / Electronical Failures in Automated Driving

F. Duerr, J. Ziehn, R. Kohlhaas, M. Roschani, M. Ruf, J. Beyerer · 2024

In the event of a critical system failures in auto-mated vehicles, fail-operational or fail-safe measures provide minimum guarantees for the vehicle's performance, depending on which of its subsystems…

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Engineering Preprint PDF DOI

Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

Baris Imre, Elina Thibeau-Sutre, Jorieke Reimer, Kuan Kho, Jelmer M. Wolterink · 2024

Chronic subdural hematoma (cSDH) is a common neurological condition characterized by the accumulation of blood between the brain and the dura mater. This accumulation of blood can exert pressure on th…

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Engineering Preprint PDF DOI

Credit vs. Discount-Based Congestion Pricing: A Comparison Study

Chih-Yuan Chiu, Devansh Jalota, Marco Pavone · 2024

Congestion pricing offers a promising traffic management policy for regulating congestion, but has also been criticized for placing outsized financial burdens on low-income users. Credit-based congest…

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Engineering Preprint PDF DOI

Learning on JPEG-LDPC Compressed Images: Classifying with Syndromes

Ahcen Aliouat, Elsa Dupraz · 2024

In goal-oriented communications, the objective of the receiver is often to apply a Deep-Learning model, rather than reconstructing the original data. In this context, direct learning over compressed d…

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Engineering Preprint PDF DOI

Real-Time Diagnostic Integrity Meets Efficiency: A Novel Platform-Agnostic Architecture for Physiological Signal Compression

Neel R Vora, Amir Hajighasemi, Cody T. Reynolds, Amirmohammad Radmehr, Mohamed Mohamed, Jillur Rahman Saurav, Abdul Aziz, Jai Prakash Veerla, Mohammad S Nasr, Hayden Lotspeich, Partha Sai Guttikonda, Thuong Pham, Aarti Darji, Parisa Boodaghi Malidarreh, Helen H Shang, Jay Harvey, Kan Ding, Phuc Nguyen, Jacob M Luber · 2023

Head-based signals such as EEG, EMG, EOG, and ECG collected by wearable systems will play a pivotal role in clinical diagnosis, monitoring, and treatment of important brain disorder diseases. Howeve…

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Engineering Preprint PDF DOI

BUSSARD -- Better Understanding Social Situations for Autonomous Robot Decision-Making

Stefan Schiffer, Astrid Rosenthal-von der Putten, Bastian Leibe · 2023

We report on our effort to create a corpus dataset of different social context situations in an office setting for further disciplinary and interdisciplinary research in computer vision, psychology, a…

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