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

StochasticBarrier.jl: A Toolbox for Stochastic Barrier Function Synthesis

Rayan Mazouz, Frederik Baymler Mathiesen, Luca Laurenti, Morteza Lahijanian ยท 2026

We present StochasticBarrier.jl, an open-source Julia-based toolbox for generating Stochastic Barrier Functions (SBFs) for safety verification of discrete-time stochastic systems with additive Gaussiaโ€ฆ

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Engineering Preprint PDF DOI

PhysMem: Scaling Test-time Physical Memory for Robot Manipulation

Haoyang Li, Yang You, Hao Su, Leonidas Guibas ยท 2026

Reliable object manipulation requires understanding physical properties that vary across objects and environments. Vision-language model (VLM) planners can reason about friction and stability in generโ€ฆ

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Agentic AI for Scalable and Robust Optical Systems Control

Zehao Wang, Mingzhe Han, Wei Cheng, Yue-Kai Huang, Philip Ji, Denton Wu, Mahdi Safari, Flemming Holtorf, Kenaish AlQubaisi, Norbert M. Linke, Danyang Zhuo, Yiran Chen, Ting Wang, Dirk Englund, Tingjun Chen ยท 2026

We present AgentOptics, an agentic AI framework for high-fidelity, autonomous optical system control built on the Model Context Protocol (MCP). AgentOptics interprets natural language tasks and executโ€ฆ

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UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models

Manish Kumar Govind, Dominick Reilly, Pu Wang, Srijan Das ยท 2026

Latent action representations learned from unlabeled videos have recently emerged as a promising paradigm for pretraining vision-language-action (VLA) models without explicit robot action supervision.โ€ฆ

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Engineering Preprint PDF DOI

NovaPlan: Zero-Shot Long-Horizon Manipulation via Closed-Loop Video Language Planning

Jiahui Fu, Junyu Nan, Lingfeng Sun, Hongyu Li, Jianing Qian, Jennifer L. Barry, Kris Kitani, George Konidaris ยท 2026

Solving long-horizon tasks requires robots to integrate high-level semantic reasoning with low-level physical interaction. While vision-language models (VLMs) and video generation models can decomposeโ€ฆ

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From High-Level Requirements to KPIs: Conformal Signal Temporal Logic Learning for Wireless Communications

Jiechen Chen, Michele Polese, Osvaldo Simeone ยท 2026

Softwarized radio access networks (RANs), such as those based on the Open RAN (O-RAN) architecture, generate rich streams of key performance indicators (KPIs) that can be leveraged to extract actionabโ€ฆ

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Contextual Safety Reasoning and Grounding for Open-World Robots

Zachary Ravichandran, David Snyder, Alexander Robey, Hamed Hassani, Vijay Kumar, George J. Pappas ยท 2026

Robots are increasingly operating in open-world environments where safe behavior depends on context: the same hallway may require different navigation strategies when crowded versus empty, or during aโ€ฆ

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An Approach to Combining Video and Speech with Large Language Models in Human-Robot Interaction

Guanting Shen, Zi Tian ยท 2026

Interpreting human intent accurately is a central challenge in human-robot interaction (HRI) and a key requirement for achieving more natural and intuitive collaboration between humans and machines. Tโ€ฆ

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CTC-TTS: LLM-based dual-streaming text-to-speech with CTC alignment

Hanwen Liu, Saierdaer Yusuyin, Hao Huang, Zhijian Ou ยท 2026

Large-language-model (LLM)-based text-to-speech (TTS) systems can generate natural speech, but most are not designed for low-latency dual-streaming synthesis. High-quality dual-streaming TTS depends oโ€ฆ

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Large Language Model-Assisted UAV Operations and Communications: A Multifaceted Survey and Tutorial

Yousef Emami, Hao Zhou, Radha Reddy, Atefeh Hajijamali Arani, Biliang Wang, Kai Li, Luis Almeida, Zhu Han ยท 2026

Uncrewed Aerial Vehicles (UAVs) are widely deployed across diverse applications due to their mobility and agility. Recent advances in Large Language Models (LLMs) offer a transformative opportunity toโ€ฆ

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An LLM-Enabled Frequency-Aware Flow Diffusion Model for Natural-Language-Guided Power System Scenario Generation

Zhenghao Zhou, Yiyan Li, Fei Xie, Lu Wang, Bo Wang, Jiansheng Wang, Zheng Yan, Mo-Yuen Chow ยท 2026

Diverse and controllable scenario generation (e.g., wind, solar, load, etc.) is critical for robust power system planning and operation. As AI-based scenario generation methods are becoming the mainstโ€ฆ

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Anticipate, Adapt, Act: A Hybrid Framework for Task Planning

Nabanita Dash, Ayush Kaura, Shivam Singh, Ramandeep Singh, Snehasis Banerjee, Mohan Sridharan, K. Madhava Krishna ยท 2026

Anticipating and adapting to failures is a key capability robots need to collaborate effectively with humans in complex domains. This continues to be a challenge despite the impressive performance of โ€ฆ

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Pixel2Phys: Distilling Governing Laws from Visual Dynamics

Ruikun Li, Jun Yao, Yingfan Hua, Shixiang Tang, Biqing Qi, Bin Liu, Wanli Ouyang, Yan Lu ยท 2026

Discovering physical laws directly from high-dimensional visual data is a long-standing human pursuit but remains a formidable challenge for machines, representing a fundamental goal of scientific intโ€ฆ

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Botson: An Accessible and Low-Cost Platform for Social Robotics Research

Samuel Bellaire, Abdalmalek Abu-raddaha, Natalie Kim, Nathan Morhan, William Elliott, Samir Rawashdeh ยท 2026

Trust remains a critical barrier to the effective integration of Artificial Intelligence (AI) into human-centric domains. Disembodied agents, such as voice assistants, often fail to establish trust duโ€ฆ

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Seeing Farther and Smarter: Value-Guided Multi-Path Reflection for VLM Policy Optimization

Yanting Yang, Shenyuan Gao, Qingwen Bu, Li Chen, Dimitris N.Metaxas ยท 2026

Solving complex, long-horizon robotic manipulation tasks requires a deep understanding of physical interactions, reasoning about their long-term consequences, and precise high-level planning. Vision-Lโ€ฆ

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Vid2Sid: Videos Can Help Close the Sim2Real Gap

Kevin Qiu, Yu Zhang, Marek Cygan, Josie Hughes ยท 2026

Calibrating a robot simulator's physics parameters (friction, damping, material stiffness) to match real hardware is often done by hand or with black-box optimizers that reduce error but cannot explaiโ€ฆ

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TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics

Shirui Chen, Cole Harrison, Ying-Chun Lee, Angela Jin Yang, Zhongzheng Ren, Lillian J. Ratliff, Jiafei Duan, Dieter Fox, Ranjay Krishna ยท 2026

While Vision-Language-Action (VLA) models have seen rapid progress in pretraining, their advancement in Reinforcement Learning (RL) remains hampered by low sample efficiency and sparse rewards in realโ€ฆ

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A Power Market Model with Hypersaclers and Modular Datacenters

Yihsu Chen, Abel Souza, Fargol Nematkhah, Andrew L. Liu ยท 2026

The rapid adoption of AI has led the growth of computational demand, with large language models (LLMs) at the forefront since ChatGPT's debut in 2022. Meanwhile, large amounts of renewable energy haveโ€ฆ

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Safe and Interpretable Multimodal Path Planning for Multi-Agent Cooperation

Haojun Shi, Suyu Ye, Katherine M. Guerrerio, Jianzhi Shen, Yifan Yin, Daniel Khashabi, Chien-Ming Huang, Tianmin Shu ยท 2026

Successful cooperation among decentralized agents requires each agent to quickly adapt its plan to the behavior of other agents. In scenarios where agents cannot confidently predict one another's inteโ€ฆ

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The Price Is Not Right: Neuro-Symbolic Methods Outperform VLAs on Structured Long-Horizon Manipulation Tasks with Significantly Lower Energy Consumption

Timothy Duggan, Pierrick Lorang, Hong Lu, Matthias Scheutz ยท 2026

Vision-Language-Action (VLA) models have recently been proposed as a pathway toward generalist robotic policies capable of interpreting natural language and visual inputs to generate manipulation actiโ€ฆ

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