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Showing 9775 results for "programming languages" in Engineering
Engineering Preprint PDF DOI

Developing an ESG-Oriented Large Language Model through ESG Practices

Gabriel Assis, Ayrton Surica, Pedro Kroll, Gabriela Aires, Darian Rabbani, Edson Bollis, Lucas Pellicer, Aline Paes ยท 2026

Environmental, Social, and Governance (ESG) considerations play a central role in contemporary financial decision-making. In parallel, Large Language Model (LLM) applications in this domain have primaโ€ฆ

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Engineering Preprint PDF DOI

A Unified Family-optimal Solution to Covariance Intersection Problems with Semidefinite Programming

Leonardo Pedroso, W. P. M. H. Heemels, Pedro Batista ยท 2026

Covariance intersection (CI) methods provide a principled approach to fusing estimates with unknown cross-correlations by minimizing a worst-case measure of uncertainty that is consistent with the avaโ€ฆ

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Engineering Preprint PDF DOI

IndoorR2X: Indoor Robot-to-Everything Coordination with LLM-Driven Planning

Fan Yang, Soumya Teotia, Shaunak A. Mehta, Prajit KrisshnaKumar, Quanting Xie, Jun Liu, Yueqi Song, Wenkai Li, Atsunori Moteki, Kanji Uchino, Yonatan Bisk ยท 2026

Although robot-to-robot (R2R) communication improves indoor scene understanding beyond what a single robot can achieve, R2R alone cannot overcome partial observability without substantial exploration โ€ฆ

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Engineering Preprint PDF DOI

The Robot's Inner Critic: Self-Refinement of Social Behaviors through VLM-based Replanning

Jiyu Lim, Youngwoo Yoon, Kwanghyun Park ยท 2026

Conventional robot social behavior generation has been limited in flexibility and autonomy, relying on predefined motions or human feedback. This study proposes CRISP (Critique-and-Replan for Interactโ€ฆ

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Engineering Preprint PDF DOI

Distributed State Estimation for Discrete-time LTI Systems: the Design Trilemma and a Novel Framework

Ruixuan Zhao, Guitao Yang, James Fleming, Boli Chen ยท 2026

With the advancement of IoT technologies and the rapid expansion of cyber-physical systems, there is increasing interest in distributed state estimation, where multiple sensors collaboratively monitorโ€ฆ

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Grid-Constrained Smart Charging of Large EV Fleets: Comparative Study of Sequential DP and a Full Fleet Solver

Ipek Kuvvetli, Christofer Sundstrom, Sogol Kharrazi, Erik Frisk ยท 2026

This paper presents a comparative optimization framework for smart charging of electrified vehicle fleets. Using heuristic sequential dynamic programming (SeqDP), the framework minimizes electricity cโ€ฆ

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Engineering Preprint PDF DOI

Beyond detection: cooperative multi-agent reasoning for rapid onboard EO crisis response

Alejandro D. Mousist, Pedro Delgado de Robles Martin, Raquel Lladro Climent, Julian Cobos Aparicio ยท 2026

Rapid identification of hazardous events is essential for next-generation Earth Observation (EO) missions supporting disaster response. However, current monitoring pipelines remain largely ground-centโ€ฆ

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Engineering Preprint PDF DOI

CeRLP: A Cross-embodiment Robot Local Planning Framework for Visual Navigation

Haoyu Xi, Mingao Tan, Xinming Zhang, Siwei Cheng, Shanze Wang, Yin Gu, Xiaoyu Shen, Wei Zhang ยท 2026

Visual navigation for cross-embodiment robots is challenging due to variations in robot and camera configurations, which can lead to the failure of navigation tasks. Previous approaches typically relyโ€ฆ

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Engineering Preprint PDF DOI

Can LLMs Prove Robotic Path Planning Optimality? A Benchmark for Research-Level Algorithm Verification

Zhengbang Yang, Md. Tasin Tazwar, Minghan Wei, Zhuangdi Zhu ยท 2026

Robotic path planning problems are often NP-hard, and practical solutions typically rely on approximation algorithms with provable performance guarantees for general cases. While designing such algoriโ€ฆ

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Engineering Preprint PDF DOI

A Closed-Form CLF-CBF Controller for Whole-Body Continuum Soft Robot Collision Avoidance

Kiwan Wong, Maximillian Stolzle, Wei Xiao, Daniela Rus ยท 2026

Safe operation is essential for deploying robots in human-centered 3D environments. Soft continuum manipulators provide passive safety through mechanical compliance, but still require active control tโ€ฆ

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VAMPO: Policy Optimization for Improving Visual Dynamics in Video Action Models

Zirui Ge, Pengxiang Ding, Baohua Yin, Qishen Wang, Zhiyong Xie, Yemin Wang, Jinbo Wang, Hengtao Li, Runze Suo, Wenxuan Song, Han Zhao, Shangke Lyu, Zhaoxin Fan, Haoang Li, Ran Cheng, Cheng Chi, Huibin Ge, Yaozhi Luo, Donglin Wang ยท 2026

Video action models are an appealing foundation for Vision--Language--Action systems because they can learn visual dynamics from large-scale video data and transfer this knowledge to downstream robot โ€ฆ

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Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action Models

Bryce Grant, Xijia Zhao, Peng Wang ยท 2026

Vision-Language-Action (VLA) models combine perception, language, and motor control in a single architecture, yet how they translate multimodal inputs into actions remains poorly understood. We apply โ€ฆ

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NavTrust: Benchmarking Trustworthiness for Embodied Navigation

Huaide Jiang, Yash Chaudhary, Yuping Wang, Zehao Wang, Raghav Sharma, Manan Mehta, Yang Zhou, Lichao Sun, Zhiwen Fan, Zhengzhong Tu, Jiachen Li ยท 2026

There are two major categories of embodied navigation: Vision-Language Navigation (VLN), where agents navigate by following natural language instructions; and Object-Goal Navigation (OGN), where agentโ€ฆ

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FinTradeBench: A Financial Reasoning Benchmark for LLMs

Yogesh Agrawal, Aniruddha Dutta, Md Mahadi Hasan, Santu Karmaker, Aritra Dutta ยท 2026

Real-world financial decision-making is a challenging problem that requires reasoning over heterogeneous signals, including company fundamentals derived from regulatory filings and trading signals comโ€ฆ

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FASTER: Rethinking Real-Time Flow VLAs

Yuxiang Lu, Zhe Liu, Xianzhe Fan, Zhenya Yang, Jinghua Hou, Junyi Li, Kaixin Ding, Hengshuang Zhao ยท 2026

Real-time execution is crucial for deploying Vision-Language-Action (VLA) models in the physical world. Existing asynchronous inference methods primarily optimize trajectory smoothness, but neglect thโ€ฆ

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How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluation

Ke-Han Lu, Szu-Wei Fu, Chao-Han Huck Yang, Zhehuai Chen, Sung-Feng Huang, Chih-Kai Yang, Yi-Cheng Lin, Chi-Yuan Hsiao, Wenze Ren, En-Pei Hu, Yu-Han Huang, An-Yu Cheng, Cheng-Han Chiang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee ยท 2026

Large language models (LLMs) have been widely used as knowledge backbones of Large Audio Language Models (LALMs), yet how much auditory knowledge they encode through text-only pre-training and how thiโ€ฆ

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Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA Models

Aiden Swann, Lachlain McGranahan, Hugo Buurmeijer, Monroe Kennedy III, Mac Schwager ยท 2026

Vision-Language-Action (VLA) models have emerged as a promising approach for general-purpose robot manipulation. However, their generalization is inconsistent: while these models can perform impressivโ€ฆ

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Meanings and Measurements: Multi-Agent Probabilistic Grounding for Vision-Language Navigation

Swagat Padhan, Lakshya Jain, Bhavya Minesh Shah, Omkar Patil, Thao Nguyen, Nakul Gopalan ยท 2026

Robots collaborating with humans must convert natural language goals into actionable, physically grounded decisions. For example, executing a command such as "go two meters to the right of the fridge"โ€ฆ

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ATG-MoE: Autoregressive trajectory generation with mixture-of-experts for assembly skill learning

Weihang Huang, Chaoran Zhang, Xiaoxin Deng, Hao Zhou, Zhaobo Xu, Shubo Cui, Long Zeng ยท 2026

Flexible manufacturing requires robot systems that can adapt to constantly changing tasks, objects, and environments. However, traditional robot programming is labor-intensive and inflexible, while exโ€ฆ

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MERGE: Guided Vision-Language Models for Multi-Actor Event Reasoning and Grounding in Human-Robot Interaction

Joerg Deigmoeller, Nakul Agarwal, Stephan Hasler, Daniel Tanneberg, Anna Belardinelli, Reza Ghoddoosian, Chao Wang, Felix Ocker, Fan Zhang, Behzad Dariush, Michael Gienger ยท 2026

We introduce MERGE, a system for situational grounding of actors, objects, and events in dynamic human-robot group interactions. Effective collaboration in such settings requires consistent situationaโ€ฆ

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