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

Humanizing Robot Gaze Shifts: A Framework for Natural Gaze Shifts in Humanoid Robots

Jingchao Wei, Jingkai Qin, Yuxiao Cao, Jingcheng Huang, Xiangrui Zeng, Min Li, Zhouping Yin ยท 2026

Leveraging auditory and visual feedback for attention reorientation is essential for natural gaze shifts in social interaction. However, enabling humanoid robots to perform natural and context-approprโ€ฆ

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Quality of Automatic Speech Recognition -- Polish Language case study -- from Wav2Vec to Scribe ElevenLabs

Marcin Pietron, Szymon Piorkowski, Kamil Faber, Dominik Zurek, Micha{l} Karwatowski, Jerzy Duda, Hubert Zielinski, Piotr Lipnicki, Miko{l}aj Leszczuk ยท 2026

This article concerns comparative studies on the Automatic Speech Recognition (ASR) model incorporated with the Large Language Model (LLM) used for medical interviews. The proposed solution is tested โ€ฆ

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Therapist-Robot-Patient Physical Interaction is Worth a Thousand Words: Enabling Intuitive Therapist Guidance via Remote Haptic Control

Beatrice Luciani, Alex van den Berg, Matti Lang, Alexandre L. Ratschat, Laura Marchal-Crespo ยท 2026

Robotic systems can enhance the amount and repeatability of physically guided motor training. Yet their real-world adoption is limited, partly due to non-intuitive trainer/therapist-trainee/patient inโ€ฆ

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Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild

Hao Luo, Ye Wang, Wanpeng Zhang, Haoqi Yuan, Yicheng Feng, Haiweng Xu, Sipeng Zheng, Zongqing Lu ยท 2026

Despite progress, Vision-Language-Action models (VLAs) are limited by a scarcity of large-scale, diverse robot data. While human manipulation videos offer a rich alternative, existing methods are forcโ€ฆ

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Deep Accurate Solver for the Geodesic Problem

Saar Huberman, Amit Bracha, Ron Kimmel ยท 2026

A common approach to compute distances on continuous surfaces is by considering a discretized polygonal mesh approximating the surface and estimating distances on the polygon. We show that exact geodeโ€ฆ

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Two-Stage Active Distribution Network Voltage Control via LLM-RL Collaboration: A Hybrid Knowledge-Data-Driven Approach

Xu Yang, Chenhui Lin, Xiang Ma, Dong Liu, Ran Zheng, Haotian Liu, Wenchuan Wu ยท 2026

The growing integration of distributed photovoltaics (PVs) into active distribution networks (ADNs) has exacerbated operational challenges, making it imperative to coordinate diverse equipment to mitiโ€ฆ

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Hierarchical LLM-Based Multi-Agent Framework with Prompt Optimization for Multi-Robot Task Planning

Tomoya Kawabe, Rin Takano ยท 2026

Multi-robot task planning requires decomposing natural-language instructions into executable actions for heterogeneous robot teams. Conventional Planning Domain Definition Language (PDDL) planners proโ€ฆ

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Self-Correcting VLA: Online Action Refinement via Sparse World Imagination

Chenyv Liu, Wentao Tan, Lei Zhu, Fengling Li, Jingjing Li, Guoli Yang, Heng Tao Shen ยท 2026

Standard vision-language-action (VLA) models rely on fitting statistical data priors, limiting their robust understanding of underlying physical dynamics. Reinforcement learning enhances physical grouโ€ฆ

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SPOC: Safety-Aware Planning Under Partial Observability And Physical Constraints

Hyungmin Kim, Hobeom Jeon, Dohyung Kim, Minsu Jang, Jeahong Kim ยท 2026

Embodied Task Planning with large language models faces safety challenges in real-world environments, where partial observability and physical constraints must be respected. Existing benchmarks often โ€ฆ

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LiLo-VLA: Compositional Long-Horizon Manipulation via Linked Object-Centric Policies

Yue Yang, Shuo Cheng, Yu Fang, Homanga Bharadhwaj, Mingyu Ding, Gedas Bertasius, Daniel Szafir ยท 2026

General-purpose robots must master long-horizon manipulation, defined as tasks involving multiple kinematic structure changes (e.g., attaching or detaching objects) in unstructured environments. Whileโ€ฆ

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VLA Knows Its Limits

Haoxuan Wang, Gengyu Zhang, Yan Yan, Ramana Rao Kompella, Gaowen Liu ยท 2026

Action chunking has recently emerged as a standard practice in flow-based Vision-Language-Action (VLA) models. However, the effect and choice of the execution horizon - the number of actions to be exeโ€ฆ

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NeuroNarrator: A Generalist EEG-to-Text Foundation Model for Clinical Interpretation via Spectro-Spatial Grounding and Temporal State-Space Reasoning

Guoan Wang, Shihao Yang, Jun-en Ding, Hao Zhu, Feng Liu ยท 2026

Electroencephalography (EEG) provides a non-invasive window into neural dynamics at high temporal resolution and plays a pivotal role in clinical neuroscience research. Despite this potential, prevailโ€ฆ

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ActionReasoning: Robot Action Reasoning in 3D Space with LLM for Robotic Brick Stacking

Guangming Wang, Qizhen Ying, Yixiong Jing, Olaf Wysocki, Brian Sheil ยท 2026

Classical robotic systems typically rely on custom planners designed for constrained environments. While effective in restricted settings, these systems lack generalization capabilities, limiting the โ€ฆ

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HALO: A Unified Vision-Language-Action Model for Embodied Multimodal Chain-of-Thought Reasoning

Quanxin Shou, Fangqi Zhu, Shawn Chen, Puxin Yan, Zhengyang Yan, Yikun Miao, Xiaoyi Pang, Zicong Hong, Ruikai Shi, Hao Huang, Jie Zhang, Song Guo ยท 2026

Vision-Language-Action (VLA) models have shown strong performance in robotic manipulation, but often struggle in long-horizon or out-of-distribution scenarios due to the lack of explicit mechanisms foโ€ฆ

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Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks

Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya, Roland Memisevic ยท 2026

Many dexterous manipulation tasks are non-markovian in nature, yet little attention has been paid to this fact in the recent upsurge of the vision-language-action (VLA) paradigm. Although they are sucโ€ฆ

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IG-RFT: An Interaction-Guided RL Framework for VLA Models in Long-Horizon Robotic Manipulation

Zhian Su, Weijie Kong, Haonan Dong, Huixu Dong ยท 2026

Vision-Language-Action (VLA) models have demonstrated significant potential for generalist robotic policies; however, they struggle to generalize to long-horizon complex tasks in novel real-world domaโ€ฆ

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Grid-Mind: An LLM-Orchestrated Multi-Fidelity Agent for Automated Connection Impact Assessment

Mohamed Shamseldein ยท 2026

Large language models (LLMs) have demonstrated remarkable tool-use capabilities, yet their application to power system operations remains largely unexplored. This paper presents Grid-Mind, a domain-spโ€ฆ

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BFA++: Hierarchical Best-Feature-Aware Token Prune for Multi-View Vision Language Action Model

Haosheng Li, Weixin Mao, Zihan Lan, Hongwei Xiong, Hongan Wang, Chenyang Si, Ziwei Liu, Xiaoming Deng, Hua Chen ยท 2026

Vision-Language-Action (VLA) models have achieved significant breakthroughs by leveraging Large Vision Language Models (VLMs) to jointly interpret instructions and visual inputs. However, the substantโ€ฆ

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Strategy-Supervised Autonomous Laparoscopic Camera Control via Event-Driven Graph Mining

Keyu Zhou, Peisen Xu, Yahao Wu, Jiming Chen, Gaofeng Li, Shunlei Li ยท 2026

Autonomous laparoscopic camera control must maintain a stable and safe surgical view under rapid tool-tissue interactions while remaining interpretable to surgeons. We present a strategy-grounded framโ€ฆ

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Application of Large Language Models for Container Throughput Forecasting: Incorporating Contextual Information in Port Logistics

Minseop Kim, Jaeeun Kwon, Hanbyeol Park, Kikun Park, Taekhyun Park, Hyerim Bae ยท 2026

Recent advancements in generative artificial intelligence (AI) have demonstrated its substantial potential in various fields. However, its application in port logistics remains underexplored. Ports arโ€ฆ

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