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๐Ÿ” nathan klein ๐Ÿ“‚ Engineering
Showing 102 results for "nathan klein" in Engineering
Engineering Preprint PDF DOI

Split over $n$ resource sharing problem: Are fewer capable agents better than many simpler ones?

Karthik Soma, Mohamed S. Talamali, Genki Miyauchi, Giovanni Beltrame, Heiko Hamann, Roderich Gross ยท 2026

In multi-agent systems, should limited resources be concentrated into a few capable agents or distributed among many simpler ones? This work formulates the split over $n$ resource sharing problem wherโ€ฆ

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Engineering Preprint PDF DOI

Single-Cycle Multidirectional EOG Classification Faster than Human Reaction Time for Wearable Human-Computer Interactions

Tasnia Nabiha, Orthy Toor, Wakim Sajjad Sakib, Abdullah Bin Shams ยท 2026

Electrooculogram (EOG) is a non-invasive bio-signal generated by the potential difference between the retina and cornea during eye movement, and is widely utilized in Human-Computer Interaction (HCI) โ€ฆ

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Engineering Preprint PDF DOI

''It Is Much Safer to Be Sparse than Connected'': Safe Control of Robotic Swarm Density Dynamics with PDE-Optimization with State Constraints

Longchen Niu, Gennaro Notomista ยท 2026

This paper introduces a safety-critical optimization-based control strategy that leverages control Lyapunov and control barrier functions to guide the spatial density of robotic swarms governed by theโ€ฆ

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Engineering Preprint PDF DOI

Steady-state response assignment for a given disturbance and reference: Sylvester equation rather than regulator equations

Hyeonyeong Jang, Jin Gyu Lee ยท 2026

Conventionally, the concept of moment has been primarily employed in model order reduction to approximate system by matching the moment, which is merely the specific set of steady-state responses. In โ€ฆ

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Engineering Preprint PDF DOI

Rewriting TTS Inference Economics: Lightning V2 on Tenstorrent Achieves 4x Lower Cost Than NVIDIA L40S

Ranjith M. S., Akshat Mandloi, Sudarshan Kamath ยท 2026

Text-to-Speech (TTS) models are significantly more numerically fragile than Large Language Models (LLMs) due to their continuous waveform generation and perceptual sensitivity to small numerical pertuโ€ฆ

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Engineering Preprint PDF DOI

Do World Action Models Generalize Better than VLAs? A Robustness Study

Zhanguang Zhang, Zhiyuan Li, Behnam Rahmati, Rui Heng Yang, Yintao Ma, Amir Rasouli, Sajjad Pakdamansavoji, Yangzheng Wu, Lingfeng Zhang, Tongtong Cao, Feng Wen, Xinyu Wang, Xingyue Quan, Yingxue Zhang ยท 2026

Robot action planning in the real world is challenging as it requires not only understanding the current state of the environment but also predicting how it will evolve in response to actions. Vision-โ€ฆ

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Engineering Preprint PDF DOI

Tensegrity Robot Endcap-Ground Contact Estimation with Symmetry-aware Heterogeneous Graph Neural Network

Wenzhe Tong, Yicheng Jiang, Chi Zhang, Maani Ghaffari, Xiaonan Huang ยท 2026

Tensegrity robots possess lightweight and resilient structures but present significant challenges for state estimation due to compliant and distributed ground contacts. This paper introduces a symmetrโ€ฆ

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Engineering Preprint PDF DOI

Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment

Jacky Kwok, Xilun Zhang, Mengdi Xu, Yuejiang Liu, Azalia Mirhoseini, Chelsea Finn, Marco Pavone ยท 2026

The long-standing vision of general-purpose robots hinges on their ability to understand and act upon natural language instructions. Vision-Language-Action (VLA) models have made remarkable progress tโ€ฆ

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Engineering Preprint PDF DOI

aerial-autonomy-stack -- a Faster-than-real-time, Autopilot-agnostic, ROS2 Framework to Simulate and Deploy Perception-based Drones

Jacopo Panerati, Sina Sajjadi, Sina Soleymanpour, Varunkumar Mehta, Iraj Mantegh ยท 2026

Unmanned aerial vehicles are rapidly transforming multiple applications, from agricultural and infrastructure monitoring to logistics and defense. Introducing greater autonomy to these systems can simโ€ฆ

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Engineering Preprint PDF DOI

Exploiting Light To Enhance The Endurance and Navigation of Lighter-Than-Air Micro-Drones

Harry Huang, Talia Xu, Marco Zuniga Zamalloa ยท 2026

Micro-Unmanned Aerial Vehicles (UAVs) are rapidly expanding into tasks from inventory to environmental sensing, yet their short endurance and unreliable navigation in GPS-denied spaces limit deploymenโ€ฆ

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Engineering Preprint PDF DOI

Delay-Doppler-Domain Channel Estimation and Reduced-Complexity Detection of Faster-than-Nyquist Signaling Aided OTFS

Zekun Hong, Shinya Sugiura, Chao Xu, Lajos Hanzo ยท 2026

We conceive a novel channel estimation and data detection scheme for OTFS-modulated faster-than-Nyquist (FTN) transmission over doubly selective fading channels, aiming for enhancing the spectral effiโ€ฆ

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Engineering Preprint PDF DOI

VLA Models Are More Generalizable Than You Think: Revisiting Physical and Spatial Modeling

Weiqi Li, Quande Zhang, Ruifeng Zhai, Liang Lin, Guangrun Wang ยท 2025

Vision-language-action (VLA) models achieve strong in-distribution performance but degrade sharply under novel camera viewpoints and visual perturbations. We show that this brittleness primarily ariseโ€ฆ

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Engineering Preprint PDF DOI

Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses

Sungnyun Kim, Kangwook Jang, Sungwoo Cho, Joon Son Chung, Hoirin Kim, Se-Young Yun ยท 2025

This paper introduces a new paradigm for generative error correction (GER) framework in audio-visual speech recognition (AVSR) that reasons over modality-specific evidences directly in the language spโ€ฆ

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Engineering Preprint PDF DOI

More than A Point: Capturing Uncertainty with Adaptive Affordance Heatmaps for Spatial Grounding in Robotic Tasks

Xinyu Shao, Yanzhe Tang, Pengwei Xie, Kaiwen Zhou, Yuzheng Zhuang, Xingyue Quan, Jianye Hao, Long Zeng, Xiu Li ยท 2025

Many language-guided robotic systems rely on collapsing spatial reasoning into discrete points, making them brittle to perceptual noise and semantic ambiguity. To address this challenge, we propose Roโ€ฆ

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Engineering Preprint PDF DOI

Unsupervised lexicon learning from speech is limited by representations rather than clustering

Danel Slabbert, Simon Malan, Herman Kamper ยท 2025

Zero-resource word segmentation and clustering systems aim to tokenise speech into word-like units without access to text labels. Despite progress, the induced lexicons are still far from perfect. In โ€ฆ

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Engineering Preprint PDF DOI

When a Robot is More Capable than a Human: Learning from Constrained Demonstrators

Xinhu Li, Ayush Jain, Zhaojing Yang, Yigit Korkmaz, Erdem B{i}y{i}k ยท 2025

Learning from demonstrations enables experts to teach robots complex tasks using interfaces such as kinesthetic teaching, joystick control, and sim-to-real transfer. However, these interfaces often coโ€ฆ

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Engineering Preprint PDF DOI

Faster-Than-Nyquist Signalling -- Theoretical Limits on Capacity and Techniques to Approach Capacity

Sathwik Chadaga ยท 2025

Faster-Than-Nyquist (FTN) Signalling is a non-orthogonal transmission scheme that violates the Nyquist zero-ISI criterion providing higher throughput and better spectral efficiency than a Nyquist tranโ€ฆ

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Engineering Preprint PDF DOI

Category-Level Object Shape and Pose Estimation in Less Than a Millisecond

Lorenzo Shaikewitz, Tim Nguyen, Luca Carlone ยท 2025

Object shape and pose estimation is a foundational robotics problem, supporting tasks from manipulation to scene understanding and navigation. We present a fast local solver for shape and pose estimatโ€ฆ

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Engineering Preprint PDF DOI

A Novel CNN Based Standalone Detector for Faster-than-Nyquist Signaling

Osman Tokluoglu, Enver Cavus, Ebrahim Bedeer, Halim Yanikomeroglu ยท 2025

This paper presents a novel convolutional neural network (CNN)-based detector for faster-than-Nyquist (FTN) signaling, introducing structured fixed kernel layers with domain-informed masking to effectโ€ฆ

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Engineering Preprint PDF DOI

Satellites are closer than you think: A near field MIMO approach for Ground stations

Rohith Reddy Vennam, Luke Wilson, Ish Kumar Jain, Dinesh Bharadia ยท 2025

The rapid growth of low Earth orbit (LEO) satellite constellations has revolutionized broadband access, earth observation, and direct-to-device connectivity. However, the expansion of ground station iโ€ฆ

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