Expertini Research Research

Browse Research Papers

36,982+ open-access research outputs.

โœ• Clear
๐Ÿ” hao yin ๐Ÿ“‚ Engineering
Showing 36982 results for "hao yin" in Engineering
Engineering Preprint PDF DOI

OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction

Junyoung Lee, Sookwan Han, Jeonghwan Kim, Inhee Lee, Mingi Choi, Jisoo Kim, Wonjung Woo, Hanbyul Joo ยท 2026

Human-robot collaboration has been studied primarily in dyadic or sequential settings. However, real homes require multiadic collaboration, where multiple humans and robots share a workspace, acting cโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models

Hao Chen, Jiaming Liu, Zhonghao Yan, Nuowei Han, Renrui Zhang, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng ยท 2026

Vision-Language-Action (VLA) models have increasingly incorporated reasoning mechanisms for complex robotic manipulation. However, existing approaches share a critical limitation: whether employing exโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA

Feeza Khan Khanzada, Jaerock Kwon ยท 2026

Learned driving agents often degrade when deployed in unseen environments. This paper studies a deliberately bounded instance of that problem in the CARLA simulator: zero-shot transfer of a closed-looโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

LRS-VoxMM: A benchmark for in-the-wild audio-visual speech recognition

Doyeop Kwak, Jeongsoo Choi, Suyeon Lee, Joon Son Chung ยท 2026

We introduce LRS-VoxMM, an in-the-wild benchmark for audio-visual speech recognition (AVSR). The benchmark is derived from VoxMM, a dataset of diverse real-world spoken conversations with human-annotaโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Hybrid Anomaly Detection for Bullion Coin Authentication Leveraging Acoustic Signature Analysis

Krzysztof Siwek, Tran Hoai Linh, Tomasz Gryczka, Maciej Stodolski ยท 2026

The verification of bullion coin authenticity is essential for maintaining integrity within the precious metals market; however, the increasing sophistication of counterfeits has rendered traditional โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Can Tabular Foundation Models Guide Exploration in Robot Policy Learning?

Buqing Ou, Frederike Dumbgen ยท 2026

Policy optimization in high-dimensional continuous control for robotics remains a challenging problem. Predominant methods are inherently local and often require extensive tuning and carefully chosen โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Robot Learning from Human Videos: A Survey

Junyi Ma, Erhang Zhang, Haoran Yang, Ditao Li, Chenyang Xu, Guangming Wang, Hesheng Wang ยท 2026

A critical bottleneck hindering further advancement in embodied AI and robotics is the challenge of scaling robot data. To address this, the field of learning robot manipulation skills from human videโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

SASI: Leveraging Sub-Action Semantics for Robust Early Action Recognition in Human-Robot Interaction

Yongpeng Cao, Masahiro Hirano, Hyuno Kim, Yuji Yamakawa ยท 2026

Understanding human actions is critical for advancing behavior analysis in human-robot interaction. Particularly in tasks that demand quick and proactive feedback, robots must recognize human actions โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

BUT System Description for CHiME-9 MCoRec Challenge

Dominik Klement, Alexander Polok, Nguyen Hai Phong, Prachi Singh, Lukas Burget ยท 2026

Multi-talker automatic speech recognition (ASR) in conversational recordings remains an open problem, particularly in scenarios with large portion of overlapping speech where identifying and transcribโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Knowledge-Driven Approach to Target Speech Extraction in the Presence of Background Sound Effects for Cinematic Audio Source Separation (CASS)

Chun-wei Ho, Sabato Marco Siniscalchi, Kai Li, Chin-Hui Lee ยท 2026

We propose a knowledge-driven approach to speech target extraction in the presence of background sound effects already recorded in cinematic audio. The specific knowledge sources studied are manners oโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation

Yang Zhou, Chaoyong Zhang, Ruoyi Hao, Huilin Pan, Yang Zhang, Hongliang Ren ยท 2026

Nasotracheal intubation (NTI) is a critical clinical procedure for establishing and maintaining patient airway patency. Machine-assisted NTI has emerged as a pivotal approach for optimizing proceduralโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Impact of Background Dense Multipath Components on Multi-Band Fusion ISAC Systems

Dexin Wang, Roberto Bomfin, Ahmad Bazzi, Marwa Chafii ยท 2026

Multi-band sensing has emerged as a key enabler of integrated sensing and communication (ISAC), one of the six primary usage scenarios defined for IMT-2030 (6G). The introduction of frequency range 3 โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Regime-Adaptive Weighted Ensemble Learning for Computing-Driven Dynamic Load Forecasting in AI Data Centers

Ziying Wang, Ying Zhang, Lei Wang, Yuzhang Lin ยท 2026

Short-term load forecasting for AI data centers presents new challenges because it is computing-driven, with heterogeneous job arrivals, sizes, and durations exhibiting bursty, non-stationary dynamicsโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity

Erik Faust, Lisa Scheunemann ยท 2026

In this article, we propose a simple and efficient hyperreduced strain-space model order reduction (MOR) approach for hyperelastic representative volume elements (RVEs), called Empirical Material Sampโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

The Field of Safe Motion: Operationalizing Affordances in the Field of Safe Travel Using Reachability Analysis

Leif Johnson, Trent Victor, Johan Engstrom ยท 2026

We present the Field of Safe Motion (FSM), a quantitative safety model for determining whether a driver maintains a collision-free escape route, or "out," at any given moment by accounting for that drโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Interaction Forces and Internal Loads in Parallel Manipulators with Actuation Redundancy

Joshua Flight, Clement Gosselin ยท 2026

This paper discusses null-space wrench components in parallel manipulators. We examine the adaptation of the two most common characterizations of these components in grasp-like systems, namely, interaโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

High Coupling Tunable Acoustic Resonators in Monolithic Barium Titanate

Ian Anderson, Agham Posadas, Alexander A. Demkov, Ruochen Lu ยท 2026

The growing number of wireless communication bands has driven demand for compact, low-loss, and frequency adjustable RF filtering. Tunable acoustic resonators are well suited to address these needs, oโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Bi-Level Optimization for Contact and Motion Planning in Rope-Assisted Legged Robots

Ruben Malacarne, Ioannis Tsikelis, Enrico Mingo Hoffman, Michele Focchi ยท 2026

This paper presents a planning pipeline framework for locomotion in rope-assisted robots climbing vertical surfaces. The proposed framework is formulated as a bi-level optimization scheme that addressโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies

Baktash Behmanesh, Ahmad Rezvanitabar ยท 2026

This paper provides a concise yet comprehensive review of recent advancements in millimeter-wave (mm-wave) oscillators below 100 GHz and sub-terahertz (sub-THz/THz) oscillators above 100 GHz for next-โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Training

Mahya Ramezani, Holger Voos ยท 2026

This paper presents a hierarchical decision-making framework for unmanned aerial vehicle (UAV) missions motivated by search-and-rescue (SAR) scenarios under limited simulation training. The framework โ€ฆ

Read Paper โ†’
Page 1 of 1850 Next โ†’