Expertini Research Research

Browse Research Papers

2,143+ open-access research outputs.

โœ• Clear
๐Ÿ” n. schunck ๐Ÿ“‚ Engineering
Showing 2143 results for "n. schunck" 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

Read Paper โ†’
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

Read Paper โ†’
Engineering Preprint PDF DOI

DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors

Pengcheng Wang, Kaiwen Hong, Chensheng Peng, Katherine Driggs-Campbell, Masayoshi Tomizuka, Chenfeng Xu, Chen Tang ยท 2026

Unlike chatbots, physical AI must act while the world keeps evolving. Therefore, the inter-chunk pause of synchronous executors are fatal for dynamic tasks regardless of how fast the inference is. Asyโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

An Individual-Delay-Reflected Generalized Consensus Analysis for Multi-Agent Systems with Heterogeneous Time-Varying Delays

Hye Jin Lee, Ho Sub Lee, PooGyeon Park ยท 2026

In multi-agent systems, heterogeneous time delays exist for all agents because of the difference in communication environments. Therefore, the consensus analysis of a system considering a homogeneous โ€ฆ

Read Paper โ†’
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

Read Paper โ†’
Engineering Preprint PDF DOI

DM-ASR: Diarization-aware Multi-speaker ASR with Large Language Models

Li Li, Ming Cheng, Weixin Zhu, Yannan Wang, Juan Liu, Ming Li ยท 2026

Multi-speaker automatic speech recognition (ASR) aims to transcribe conversational speech involving multiple speakers, requiring the model to capture not only what was said, but also who said it and sโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Effects of Swarm Size Variability on Operator Workload

William Hunt, Aleksandra Landowska, Horia A. Maior, Sarvapali D. Ramchurn, Mohammad Soorati ยท 2026

Real-world deployments of human--swarm teams depend on balancing operator workload to leverage human strengths without inducing overload. A key challenge is that swarm size is often dynamic: robots maโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

X2-N: A Transformable Wheel-legged Humanoid Robot with Dual-mode Locomotion and Manipulation

Yan Ning, Xingzhou Chen, Delong Li, Hao Zhang, Hanfu Gai, Tongyuan Li, Cheng Zhang, Zhihui Peng, Ling Shi ยท 2026

Wheel-legged robots combine the efficiency of wheeled locomotion with the versatility of legged systems, enabling rapid traversal over both continuous and discrete terrains. However, conventional desiโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Toward Safe Autonomous Robotic Endovascular Interventions using World Models

Harry Robertshaw, Nikola Fischer, Han-Ru Wu, Andrea Walker Perez, Weiyuan Deng, Benjamin Jackson, Christos Bergeles, Alejandro Granados, Thomas C Booth ยท 2026

Autonomous mechanical thrombectomy (MT) presents substantial challenges due to highly variable vascular geometries and the requirements for accurate, real-time control. While reinforcement learning (Rโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming

Alex Cuellar, Michael Hagenow, Julie Shah ยท 2026

Effective human-robot teaming is crucial for the practical deployment of robots in human workspaces. However, optimizing joint human-robot plans remains a challenge due to the difficulty of modeling iโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Wildfires Quasi-Implicit Alternative-Direction Simulations using Isogeometric Finite Element Method

Juliusz Wasieleski, Tomasz S{l}uzalec, Maciej Wozniak, Marcin {L}os, Andres Medina, Paulina Sepulveda, Albert Oliver Serra, Eirik Valseth, Anna Paszynska, Maciej Paszynski ยท 2026

We develop a wildfire simulation model that evolves the temperature scalar field using an energy balance equation accounting for heat generation, transport, and loss. For these equations, we develop qโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Reducing the Offline-Streaming Gap for Unified ASR Transducer with Consistency Regularization

Andrei Andrusenko, Vladimir Bataev, Lilit Grigoryan, Nune Tadevosyan, Vitaly Lavrukhin, Boris Ginsburg ยท 2026

Unification of automatic speech recognition (ASR) systems reduces development and maintenance costs, but training a single model to perform well in both offline and low-latency streaming settings remaโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Safety-Certified CRT Sparse FFT: $\Omega(k^2)$ Lower Bound and $O(N \log N)$ Worst-Case

Aaron R. Flouro, Shawn P. Chadwick ยท 2026

Computing Fourier transforms of k-sparse signals, where only k of N frequencies are non-zero, is fundamental in compressed sensing, radar, and medical imaging. While the Fast Fourier Transform (FFT) eโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

ST-$\pi$: Structured SpatioTemporal VLA for Robotic Manipulation

Chuanhao Ma, Hanyu Zhou, Shihan Peng, Yan Li, Tao Gu, Luxin Yan ยท 2026

Vision-language-action (VLA) models have achieved great success on general robotic tasks, but still face challenges in fine-grained spatiotemporal manipulation. Typically, existing methods mainly embeโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Rewind-IL: Online Failure Detection and State Respawning for Imitation Learning

Gehan Zheng, Sanjay Seenivasan, Matthew Johnson-Roberson, Weiming Zhi ยท 2026

Imitation learning has enabled robots to acquire complex visuomotor manipulation skills from demonstrations, but deployment failures remain a major obstacle, especially for long-horizon action-chunkedโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Digital Twin for Real-Time Security Assessment and Flexibility Activation in the Bornholm Distribution System

Anosh Arshad Sundhu, Aysegul Kahraman, Spyros Chatzivasileiadis ยท 2026

The increasing penetration of distributed energy resources (DERs) is transforming distribution networks into actively managed systems, introducing challenges related to voltage regulation, thermal loaโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Whole-Body Mobile Manipulation using Offline Reinforcement Learning on Sub-optimal Controllers

Snehal Jauhri, Vignesh Prasad, Georgia Chalvatzaki ยท 2026

Mobile Manipulation (MoMa) of articulated objects, such as opening doors, drawers, and cupboards, demands simultaneous, whole-body coordination between a robot's base and arms. Classical whole-body coโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

M2HRI: An LLM-Driven Multimodal Multi-Agent Framework for Personalized Human-Robot Interaction

Shaid Hasan, Breenice Lee, Sujan Sarker, Tariq Iqbal ยท 2026

Multi-robot systems hold significant promise for social environments such as homes and hospitals, yet existing multi-robot works treat robots as functionally identical, overlooking how robots individuโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

PFAgent: A Tractable and Self-Evolving Power-Flow Agent for Interactive Grid Analysis

Buxin She, Brian Chen, Luanzheng Guo, Fangxing Li ยท 2026

Power system simulation workflows remain expert-intensive. Engineers must translate study intents into code or API calls, execute analyses, and interpret outputs. To automate this workflow, this paperโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Rain Rate Estimation Bounds and Weather-Adaptive Pilot Allocation for LEO Satellite ISAC

Haofan Dong, Houtianfu Wang, Hanlin Cai, O. Tansel Baydas, Ozgur B. Akan ยท 2026

Rain attenuates Ku-band satellite signals by up to 20~dB, encoding precipitation information along the Earth-space slant path. This paper derives the Bayesian Cram\'{e}r-Rao bound (BCRB) for rain rateโ€ฆ

Read Paper โ†’
Page 1 of 108 Next โ†’