Expertini Research Research

Browse Research Papers

207+ open-access research outputs.

โœ• Clear
๐Ÿ” igor nunes ๐Ÿ“‚ Engineering
Showing 207 results for "igor nunes" in Engineering
Engineering Preprint PDF DOI

Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection

Jaskirat Sudan, Hashim Ali, Surya Subramani, Hafiz Malik ยท 2026

Supervised contrastive learning (SupCon) is widely used to shape representations, but has seen limited targeted study for audio deepfake detection. Existing work typically combines contrastive terms wโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning

Tuan Van Vo, Tan Q. Nguyen, Khang Nguyen, Nhat Xuan Tran, Duy H. M. Nguyen, An T. Le, Ngo Anh Vien, Minh Nhat Vu ยท 2026

Vision-Language-Action (VLA) models have gained much attention from the research community thanks to their strength in translating multimodal observations with linguistic instructions into desired robโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework

Shida Jiang, Shengyu Tao, Zihe Liu, Scott Moura ยท 2026

The ensemble Kalman filter (EnKF) is widely used for nonlinear and high-dimensional state estimation because it replaces complex covariance propagation with simple ensemble statistics. However, convenโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Generative Data-engine Foundation Model for Universal Few-shot 2D Vascular Image Segmentation

Rongjun Ge, Xin Li, Yuxing Liu, Chengliang Liu, Pinzheng Zhang, Jiong Zhang, Jian Yang, Jean-Louis Dillenseger, Chunfeng Yang, Yuting He, Yang Chen ยท 2026

The segmentation of 2D vascular structures via deep learning holds significant clinical value but is hindered by the scarcity of annotated data, severely limiting its widespread application. Developinโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Shocks without shock capturing: Information geometric regularization of finite volume methods for Navier--Stokes-like problems

Anand Radhakrishnan, Benjamin Wilfong, Spencer H. Bryngelson, Florian Schafer ยท 2026

Shock waves in high-speed fluid dynamics produce near-discontinuities in the fluid momentum, density, and energy. Most contemporary works use artificial viscosity or limiters as numerical mitigation oโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

OpenGo: An OpenClaw-Based Robotic Dog with Real-Time Skill Switching

Hanbing Li, Xuewei Cao, Zhiwen Zeng, Yuhan Wu, Yanyong Zhang, Yan Xia ยท 2026

Adaptation to complex tasks and multiple scenarios remains a significant challenge for a single robot agent. The ability to acquire organize, and switch between a wide range of skills in real time, paโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Bringing Network Coding into Multi-Robot Systems: Interplay Study for Autonomous Systems over Wireless Communications

Anil Zaher, Kiril Solovey, Alejandro Cohen ยท 2026

Communication is a core enabler for multi-robot systems (MRS), providing the mechanism through which robots exchange state information, coordinate actions, and satisfy safety constraints. While many Mโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Beyond Binary Success: Sample-Efficient and Statistically Rigorous Robot Policy Comparison

David Snyder, Apurva Badithela, Nikolai Matni, George Pappas, Anirudha Majumdar, Masha Itkina, Haruki Nishimura ยท 2026

Generalist robot manipulation policies are becoming increasingly capable, but are limited in evaluation to a small number of hardware rollouts. This strong resource constraint in real-world testing neโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Accelerating Stroke MRI with Diffusion Probabilistic Models through Large-Scale Pre-training and Target-Specific Fine-Tuning

Yamin Arefeen, Sidharth Kumar, Steven Warach, Hamidreza Saber, Jonathan Tamir ยท 2026

Purpose: To develop a data-efficient strategy for accelerated MRI reconstruction with Diffusion Probabilistic Generative Models (DPMs) that enables faster scan times in clinical stroke MRI when only lโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

HumDex: Humanoid Dexterous Manipulation Made Easy

Liang Heng, Yihe Tang, Jiajun Xu, Henghui Bao, Di Huang, Yue Wang ยท 2026

This paper investigates humanoid whole-body dexterous manipulation, where the efficient collection of high-quality demonstration data remains a central bottleneck. Existing teleoperation systems oftenโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

ZeroWBC: Learning Natural Visuomotor Humanoid Control Directly from Human Egocentric Video

Haoran Yang, Jiacheng Bao, Yucheng Xin, Haoming Song, Yuyang Tian, Bin Zhao, Dong Wang, Xuelong Li ยท 2026

Achieving versatile and naturalistic whole-body control for humanoid robot scene-interaction remains a significant challenge. While some recent works have demonstrated autonomous humanoid interactive โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Failure Mechanisms and Risk Estimation for Legged Robot Locomotion on Granular Slopes

Xingjue Liao, Feifei Qian ยท 2026

Locomotion on granular slopes such as sand dunes remains a fundamental challenge for legged robots due to reduced shear strength and gravity-induced anisotropic yielding of granular media. Using a hexโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration

Ninghao Zhang, Bin Zhu, Shijie Zhou, Jingjing Chen ยท 2026

Vision-Language-Action (VLA) models enable robots to perform manipulation tasks directly from natural language instructions and are increasingly viewed as a foundation for generalist robotic policies.โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

ArthroCut: Autonomous Policy Learning for Robotic Bone Resection in Knee Arthroplasty

Xu Lu, Yiling Zhang, Wenquan Cheng, Longfei Ma, Fang Chen, Hongen Liao ยท 2026

Despite rapid commercialization of surgical robots, their autonomy and real-time decision-making remain limited in practice. To address this gap, we propose ArthroCut, an autonomous policy learning frโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Novel One-tap Equalizer for Zero-Padded AFDM System over Doubly Selective Channels

Chenyang Zhang, Akram Shafie, Cheng Shen, Deepak Mishra, Jinhong Yuan ยท 2026

Recently, affine frequency division multiplexing (AFDM) has gained traction as a robust solution for doubly selective channels. In this paper, we present a novel low-complexity one-tap equalizer for zโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Deepfake Word Detection by Next-token Prediction using Fine-tuned Whisper

Hoan My Tran, Xin Wang, Wanying Ge, Xuechen Liu, Junichi Yamagishi ยท 2026

Deepfake speech utterances can be forged by replacing one or more words in a bona fide utterance with semantically different words synthesized with speech-generative models. While a dedicated synthetiโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction

Pao-Hsiung Chiu, Jian Cheng Wong, Chin Chun Ooi, Chang Wei, Yuchen Fan, Yew-Soon Ong ยท 2026

Physics-informed neural networks (PINNs) have emerged as a promising mesh-free paradigm for solving partial differential equations, yet adoption in science and engineering is limited by slow training โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Scout-Rover cooperation: online terrain strength mapping and traversal risk estimation for planetary-analog explorations

Shipeng Liu, J. Diego Caporale, Yifeng Zhang, Xingjue Liao, William Hoganson, Wilson Hu, Shivangi Misra, Neha Peddinti, Rachel Holladay, Ethan Fulcher, Akshay Ram Panyam, Andrik Puentes, Jordan M. Bretzfelder, Michael Zanetti, Uland Wong, Daniel E. Koditschek, Mark Yim, Douglas Jerolmack, Cynthia Sung, Feifei Qian ยท 2026

Robot-aided exploration of planetary surfaces is essential for understanding geologic processes, yet many scientifically valuable regions, such as Martian dunes and lunar craters, remain hazardous dueโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

VIGOR: Visual Goal-In-Context Inference for Unified Humanoid Fall Safety

Osher Azulay, Zhengjie Xu, Andrew Scheffer, Stella X. Yu ยท 2026

Reliable fall recovery is critical for humanoids operating in cluttered environments. Unlike quadrupeds or wheeled robots, humanoids experience high-energy impacts, complex whole-body contact, and larโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Fine-Tuning LLMs to Generate Economical and Reliable Actions for the Power Grid

Mohamad Chehade, Hao Zhu ยท 2026

Public Safety Power Shutoffs (PSPS) force rapid topology changes that can render standard operating points infeasible, requiring operators to quickly identify corrective transmission switching actionsโ€ฆ

Read Paper โ†’
Page 1 of 11 Next โ†’