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๐Ÿ” r. m. angelo ๐Ÿ“‚ Engineering
Showing 4674 results for "r. m. angelo" in Engineering
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

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Engineering Preprint PDF DOI

PM-EKF: A Physiological Model-Based Extended Kalman Filter for Daily-Life Physical Activity Energy Expenditure Estimation

Shuhao Que, Remco Poelarends, Valentina Breschi, Ying Wang ยท 2026

Monitoring physical activity energy expenditure (PAEE) in daily life is essential for characterizing individual health and metabolic status. Although indirect calorimetry provides gold-standard PAEE mโ€ฆ

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Engineering Preprint PDF DOI

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies

Xue Qin, Simin Luan, John See, Cong Yang, Zhijun Li ยท 2026

Skill libraries in deployed robotic systems are continually updated through fine-tuning, fresh demonstrations, or domain adaptation, yet existing typed-composition methods (BLADE, SymSkill, Generativeโ€ฆ

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Engineering Preprint PDF DOI

SEP Analysis of Quantized SIMO Systems with M-PSK over Correlated Fading Channels

Amila Ravinath, Bikshapathi Gouda, Italo Atzeni, Antti Tolli ยท 2026

The average symbol error probability (SEP) of a phase-quantized single-input multiple-output system with M-ary phase-shift keying modulation and maximum ratio combining (MRC) is analyzed under correlaโ€ฆ

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Engineering Preprint PDF DOI

Optimizing Tracking Accuracy in Energy-Constrained Multimodal ISAC via Lyapunov-Driven Heterogeneous Mixture-of-Experts

Wenqi Fan, Ning Wei, Ahmad Bazzi, Rongyan Xi, Zhixian Song, You Li, Zhihan Zeng, Yue Xiu, Chadi Assi ยท 2026

The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous high-resolution visuaโ€ฆ

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Engineering Preprint PDF DOI

Lights Out: A Nighttime UAV Localization Framework Using Thermal Imagery and Semantic 3D Maps

Ryan Allen, Melissa Greeff ยท 2026

Reliable backup localization for unmanned aerial vehicles (UAVs) operating in GNSS-denied nighttime conditions remains an open challenge due to the severe modality gap between daytime RGB maps and nigโ€ฆ

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Engineering Preprint PDF DOI

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization

Bahar Oveisgharan, Gene Cheung, Andrew Eckford ยท 2026

We aim to learn a sparse and connected graph from sparse data, where the number of observations K can be substantially smaller than the signal dimension N for signals x in R^N, and the underlying distโ€ฆ

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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

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Engineering Preprint PDF DOI

GEGLU-Transformer for IMU-to-EMG Estimation with Few-Shot Adaptation

Miroljub Mihailovic, Luca Tonin, Stefano Tortora, Emanuele Menegatti ยท 2026

Reliable estimation of neuromuscular activation is a key enabler for adaptive and personalized control in wearable robotics. However, surface electromyography (EMG) remains difficult to deploy robustlโ€ฆ

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Engineering Preprint PDF DOI

UNet-Based Fusion and Exponential Moving Average Adaptation for Noise-Robust Speaker Recognition

Chong-Xin Gan, Peter Bell, Man-Wai Mak, Zhe Li, Zezhong Jin, Zilong Huang, Kong Aik Lee ยท 2026

The joint training of speech enhancement and speaker embedding networks for speaker recognition is widely adopted under noisy acoustic environments. While effective, this paradigm often fails to leverโ€ฆ

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Engineering Preprint PDF DOI

ASAP: An Azimuth-Priority Strip-Based Search Approach to Planar Microphone Array DOA Estimation in 3D

Ming Huang, Shuting Xu, Leying Yang, Huanzhang Hu, Yujie Zhang, Jiang Wang, Yu Liu, Hao Zhao, He Kong ยท 2026

Direction-of-arrival (DOA) estimation is an important task in microphone array processing and many downstream applications. The steered response power with phase transform (SRP-PHAT) method has been wโ€ฆ

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Engineering Preprint PDF DOI

Wave Tank Experiment for Sea State Monitoring with Distributed Acoustic Sensing

Yoshiyuki Yajima, Sakiko Mishima, Noriyuki Tonami, Tomoyuki Hino, Shugo Aibe, Junichiro Saikawa, Koji Mizuguchi ยท 2026

Monitoring sea states across the offshore wind farm areas is essential to keep their structures safe, efficiently operate the systems, and assess the environmental effects of wind turbines. Conventionโ€ฆ

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Engineering Preprint PDF DOI

Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing

Sakiko Mishima, Yoshiyuki Yajima, Noriyuki Tonami, Tomoyuki Hino, Shugo Aibe, Junichiro Saikawa, Koji Mizuguchi ยท 2026

This study proposes an anomaly-detection framework for monitoring exposure-length variations in submarine free-span cables using Distributed Acoustic Sensing (DAS), which is one of the distributed fibโ€ฆ

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Engineering Preprint PDF DOI

Real-time windrow detection from onboard tractor sensors for automated following

Lorenz Gunreben, Nico Heider, Sebastian Zurner, Martin Schieck, Bogdan Franczyk ยท 2026

Proprietary design in commercial windrow-detection systems restricts transparency and limits progress in open autonomous forage-harvesting research. We present a multi-modal dataset combining stereo vโ€ฆ

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Engineering Preprint PDF DOI

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills

Siyao Xiao, Yuhong Zhang, Zhifang Liu, Zihan Gao, Jingye Zhang, Sinwai Choo, Dake Zhong, Mengzhe Wang, Xiao Lin, Xianfeng Zhou, Jia Jia, Haoqian Wang ยท 2026

Current Vision-Language-Action (VLA) models predominantly rely on end-to-end fine-tuning. While effective, this paradigm compromises the inherent generalization capabilities of Vision-Language Models โ€ฆ

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Engineering Preprint PDF DOI

QuietWalk: Physics-Informed Reinforcement Learning for Ground Reaction Force-Aware Humanoid Locomotion Under Diverse Footwear

Hanze Hu, Luying Feng, Silu Chen, Tianjiang Zheng, Dexin Jiang, Wei Chen, Chi Zhang, Guilin Yang, Yaochu Jin ยท 2026

Humanoid robots operating in human-centered environments (e.g., homes, hospitals, and offices) must mitigate foot--ground impact transients, as impact-induced vibration and noise degrade user experienโ€ฆ

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Engineering Preprint PDF DOI

A Lightweight Toggleable Adhesion Prototype for Multirotor UAV Landing on Tilting Platforms

Teighin Nordholt, Melissa Greeff ยท 2026

Autonomous multirotor landings on uncrewed surface vessels (USVs) are critical for persistent maritime operations but remain challenging due to wave-induced tilt, wind disturbances, and limited landinโ€ฆ

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Engineering Preprint PDF DOI

Collaborative Trajectory Prediction via Late Fusion

Nadya Abdel Madjid, Murad Mebrahtu, Zakhar Yagudin, Bilal Hassan, Naoufel Werghi, Jorge Dias, Dzmitry Tsetserukou, Majid Khonji ยท 2026

Predicting future trajectories of surrounding traffic agents is critical for safe autonomous navigation and collision avoidance. Despite all advances in the trajectory forecasting realm, the predictioโ€ฆ

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Engineering Preprint PDF DOI

Energy-Efficient Multi-Robot Coverage Path Planning of Non-Convex Regions of Interests

Sourav Raxit, Jose Fuentes, Paulo Padrao, Abdullah Al Redwan Newaz, Md Tamjidul Hoque, Mark Kulp, Leonardo Bobadilla ยท 2026

This letter presents an energy-efficient multi-robot coverage path planning (MRCPP) framework for large, nonconvex Regions of Interest (ROI) containing obstacles and no-fly zones (NFZ). Existing minimโ€ฆ

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Engineering Preprint PDF DOI

Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training

Yaxuan Li, Zhongyi Zhou, Yefei Chen, Yanjiang Guo, Jiaming Liu, Shanghang Zhang, Jianyu Chen, Yichen Zhu ยท 2026

Post-training is essential for turning pretrained generalist robot policies into reliable task-specific controllers, but existing human-in-the-loop pipelines remain tied to physical execution: each coโ€ฆ

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