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๐Ÿ” risk taking ๐Ÿ“‚ Engineering
Showing 15476 results for "risk taking" 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

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Engineering Preprint PDF DOI

Sequential Inference for Gaussian Processes: A Signal Processing Perspective

Daniel Waxman, Fernando Llorente, Petar M. Djuric ยท 2026

The proliferation of capable and efficient machine learning (ML) models marks one of the strongest methodological shifts in signal processing (SP) in its nearly 100-year history. ML models support theโ€ฆ

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Engineering Preprint PDF DOI

FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems

Binghao Huang, Yunzhu Li ยท 2026

We present FlexiTac, a low-cost, open-source, and scalable piezoresistive tactile sensing solution designed for robotic end-effectors. FlexiTac is a practical "plug-in" module consisting of (i) thin, โ€ฆ

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Engineering Preprint PDF DOI

Connected Dependability Cage: Run-Time Function and Anomaly Monitoring for the Development and Operation of Safe Automated Vehicles

Iqra Aslam, Nour Habib, Abhishek Buragohain, Meng Zhang, Andreas Rausch, Vaibhav Tiwari, Mohamed Benchat ยท 2026

The advancement of automated vehicles introduces complex safety challenges, particularly in dynamic and unpredictable environments where AI-enabled perception systems must operate reliably. Ensuring cโ€ฆ

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Engineering Preprint PDF DOI

Semantics-Aware Hierarchical Token Communication: Clustering, Bit Mapping, and Power Allocation

Jihoon Lee, Seungeun Oh, Jihong Park, Seong-Lyun Kim, Seung-Woo Ko ยท 2026

Despite the rise of token communication (TokCom) as a new paradigm beyond traditional bit communication, existing approaches have primarily adopted artificial intelligence (AI)-centric designs that reโ€ฆ

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Engineering Preprint PDF DOI

Joint Secrecy and Covert Communication (JSACC): An Enhanced Physical Layer Security Approach

Yanyu Cheng, Haitao Du, Liqin Hu, Wei Yang Bryan Lim, Pan Li ยท 2026

In this paper, we propose an enhanced physical layer security approach, named joint secrecy and covert communication (JSACC), which aims to improve the performance of physical layer security (PLS). Thโ€ฆ

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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

An Experimental Modular Instrument With a Haptic Feedback Framework for Robotic Surgery Training

Walid Shaker, Mustafa Suphi Erden ยท 2026

Robotic-assisted surgery offers significant clinical advantages but largely eliminates direct haptic feedback, increasing the risk of excessive tool-tissue interaction forces. Although recent commerciโ€ฆ

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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

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Engineering Preprint PDF DOI

Real-Time GPU-Accelerated Monte Carlo Evaluation of Safety-Critical AEB Systems Under Uncertainty

Akshay Karjol, Shadi Alawneh ยท 2026

Automatic Emergency Braking (AEB) systems represent a safety-critical national interest, with the National Highway Traffic Safety Administration (NHTSA) Federal Motor Vehicle Safety Standard (FMVSS Noโ€ฆ

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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

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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

Risk-Aware Multi-Market Scheduling of Virtual Power Plants with Dynamic Network Tariffs

Lorenzo Zapparoli, Paul Fath, Blazhe Gjorgiev, Giovanni Sansavini ยท 2026

As the penetration of distributed energy resources (DERs) increases, harnessing their flexibility becomes critical for power system operations. Virtual power plants (VPPs) offer a promising solution. โ€ฆ

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Engineering Preprint PDF DOI

Split over $n$ resource sharing problem: Are fewer capable agents better than many simpler ones?

Karthik Soma, Mohamed S. Talamali, Genki Miyauchi, Giovanni Beltrame, Heiko Hamann, Roderich Gross ยท 2026

In multi-agent systems, should limited resources be concentrated into a few capable agents or distributed among many simpler ones? This work formulates the split over $n$ resource sharing problem wherโ€ฆ

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Engineering Preprint PDF DOI

Application of Deep Reinforcement Learning to Event-Triggered Control for Networked Artificial Pancreas Systems

Junya Ikemoto, Satoshi Maruyama, Kazumune Hashimoto ยท 2026

This paper proposes a deep reinforcement learning (DRL)-based event-triggered controller design for networked artificial pancreas (AP) systems. Although existing DRL-based AP controllers typically assโ€ฆ

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Engineering Preprint PDF DOI

Risk Assessments for Evasive Emergency Maneuvers in Autonomous Vehicles

Aliasghar Arab, Milad Khaleghi, Koorosh Aslansefat ยท 2026

This paper presents a systematic verification and validation (V\&V) framework for the Evasive Minimum Risk Maneuver (EMRM) feature in autonomous vehicles, addressing a critical gap in existing safety โ€ฆ

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Engineering Preprint PDF DOI

Variational Neural Belief Parameterizations for Robust Dexterous Grasping under Multimodal Uncertainty

Clinton Enwerem, Shreya Kalyanaraman, John S. Baras, Calin Belta ยท 2026

Contact variability, sensing uncertainty, and external disturbances make grasp execution stochastic. Expected-quality objectives ignore tail outcomes and often select grasps that fail under adverse coโ€ฆ

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Engineering Preprint PDF DOI

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models

Pengcheng Fang, Hongli Chen, Xiaohao Cai ยท 2026

World action models jointly predict future video and action during training, raising an open question about what role the future-prediction branch actually plays. A recent finding shows that this branโ€ฆ

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Engineering Preprint PDF DOI

Complex-Vector Power and Cross-Phase Unbalance in Three-Phase Systems

Juan Carlos Bravo-Rodriguez, Juan Carlos del-Pino-Lopez, Francisco Casado-Machado ยท 2026

Unbalanced three-phase systems still lack a compact phasor-domain representation of power that makes phase asymmetry explicit while remaining consistent with established apparent-power definitions. Thโ€ฆ

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Engineering Preprint PDF DOI

Polarization-diverse Detection at Microwave Frequencies Using A Passive Metasurface Aperture

Md. Abrar A Mushfik, Mohammad Ali Kaisar, Mohiminul Islam Bhuiyan Sahed, Idban Alamzadeh ยท 2026

Metasurfaces' ability to control electromagnetic wave propagation has led to a rapid paradigm shift in wireless operation. These metasurfaces are often called reconfigurable intelligent surfaces (RISsโ€ฆ

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