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๐Ÿ” r.g. izzard ๐Ÿ“‚ Engineering
Showing 6393 results for "r.g. izzard" in Engineering
Engineering Preprint PDF DOI

A Control Framework for Induced Seismicity Mitigation in Groningen Gas Reservoir

Diego Gutierrez-Oribio, Ioannis Stefanou ยท 2026

Induced seismicity associated with gas production poses major operational and societal challenges, as illustrated by the Groningen field in the Netherlands. While many studies have focused on forecastโ€ฆ

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Engineering Preprint PDF DOI

Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising

Jun Guo, Qiwei Li, Peiyan Li, Zilong Chen, Nan Sun, Yifei Su, Heyun Wang, Yuan Zhang, Xinghang Li, Huaping Liu ยท 2026

We propose X-WAM, a Unified 4D World Model that unifies real-time robotic action execution and high-fidelity 4D world synthesis (video + 3D reconstruction) in a single framework, addressing the criticโ€ฆ

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Engineering Preprint PDF DOI

ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation

Sergej Stanovcic, Daniel Sliwowski, Dongheui Lee ยท 2026

Annotating long-horizon robotic demonstrations with precise temporal action boundaries is crucial for training and evaluating action segmentation and manipulation policy learning methods. Existing annโ€ฆ

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Engineering Preprint PDF DOI

Reactive Motion Generation via Phase-varying Neural Potential Functions

Ahmet Tekden, Dimitrios Kanoulas, Aude Billard, Yasemin Bekiroglu ยท 2026

Dynamical systems (DS) methods for Learning-from-Demonstration (LfD) provide stable, continuous policies from few demonstrations. First-order dynamical systems (DS) are effective for many point-to-poiโ€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

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

Behaviour-aware Hybrid Architecture for Trust-driven Transmissions

Dhrumil Bhatt, Anakha Kurup ยท 2026

Reliable and secure communication is essential for mission-critical aerospace and defence operations involving autonomous platforms such as Unmanned Aerial Vehicles (UAVs), satellites, and ground contโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Privacy-Preserving Modeling and Frequency Regulation with Aggregated Electric Vehicles via Bilinear Hidden Markov Model

Yiping Liu, Xiaozhe Wang, Geza Joos ยท 2026

Vehicle-to-Grid (V2G) technology allows bidirectional power flow for real-time grid support, making electric vehicles (EVs) well-suited for ancillary services such as frequency regulation. However, exโ€ฆ

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Engineering Preprint PDF DOI

NL-COMM-Sat: Breaking the Direct Device-to-Satellite Communication Barrier via "Aggressive" Non-Orthogonal Transmissions and Non-Linear Processing

Konstantinos Nikitopoulos, Chathura Jayawardena ยท 2026

Direct Device-to-Satellite (D2S) communications, which enable direct satellite connectivity with unmodified user equipment (UE), not only expand global coverage but also reshape the evolution of futurโ€ฆ

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Trajectory Planning for an Articulated Commercial Vehicle using Model Predictive Contouring Control

A.J. Aertssen, R.G.M. Huisman, I.J.M. Besselink, J. Elfring, M.J.G. van de Molengraft ยท 2026

This paper presents a trajectory planning method for articulated commercial vehicles, specifically tractor-semitrailers, based on Model Predictive Contouring Control (MPCC). Although MPCC has proven eโ€ฆ

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Engineering Preprint PDF DOI

Betting for Sim-to-Real Performance Evaluation

Zaid Mahboob, Yujia Chen, Bowen Weng ยท 2026

This paper studies the problem of robot performance evaluation, focusing on how to obtain accurate and efficient estimates of real-world behavior under severe constraints on physical experimentation. โ€ฆ

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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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Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley ยท 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to stโ€ฆ

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Probabilistic Hazard Analysis Framework with Stochastic Optimal Control for Deteriorating Civil Infrastructure Systems

Sudhir P. Jodha, Konstantinos G. Papakonstantinou ยท 2026

The safety and resilience of civil infrastructure systems are increasingly threatened by compounded risks from various hazard events and structural deterioration due to environmental stressors. This sโ€ฆ

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Control Barrier Functions Solved with Hierarchical Quadratic Programming for Safe Physical Human-Robot Interaction

Rui Luo, Jonas Mariager Jakobsen, Wesley Roozing, Federico Califano, Cheng Fang ยท 2026

Physical human-robot interaction offers the potential to leverage human intelligence and robot physical capabilities to enable a range of exciting applications, e.g., collaborative robots for rehabiliโ€ฆ

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Engineering Preprint PDF DOI

CT-Guided Spatially-varying Regularization for Voxel-Wise Deformable Whole-Body PET Registration

Xiangcen Wu, Ruohua Chen, Sichun Li, Qianye Yang, Sheng Liu, Jianjun Liu, Zhaoheng Xie ยท 2026

Whole-body Positron Emission Tomography (PET) registration is essential for multi-parametric tumor characterization and assessment of metastatic disease progression. In deep learning-based deformable โ€ฆ

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RPG: Robust Policy Gating for Smooth Multi-Skill Transitions in Humanoid Fighting

Yucheng Xin, Jiacheng Bao, Yubo Dong, Xueqian Wang, Bin Zhao, Xuelong Li, Junbo Tan, Dong Wang ยท 2026

Humanoid robots have demonstrated impressive motor skills in a wide range of tasks, yet whole-body control for humanlike long-time, dynamic fighting remains particularly challenging due to the stringeโ€ฆ

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CorridorVLA: Explicit Spatial Constraints for Generative Action Heads via Sparse Anchors

Dachong Li, ZhuangZhuang Chen, Jin Zhang, Jianqiang Li ยท 2026

Vision--Language--Action (VLA) models often use intermediate representations to connect multimodal inputs with continuous control, yet spatial guidance is often injected implicitly through latent featโ€ฆ

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GenerativeMPC: VLM-RAG-guided Whole-Body MPC with Virtual Impedance for Bimanual Mobile Manipulation

Marcelino Julio Fernando, Miguel Altamirano Cabrera, Jeffrin Sam, Yara Mahmoud, Konstantin Gubernatorov, Dzmitry Tsetserukou ยท 2026

Bimanual mobile manipulation requires a seamless integration between high-level semantic reasoning and safe, compliant physical interaction - a challenge that end-to-end models approach opaquely and cโ€ฆ

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Achieving Interaction Fluidity in a Wizard-of-Oz Robotic System: A Prototype for Fluid Error-Correction

Carlos Baptista De Lima, Julian Hough, Frank Forster, Patrick Holthaus, Yongjun Zheng ยท 2026

Achieving truly fluid interaction with robots with speech interfaces remains a hard problem, and the experience of current Human-Robot Interaction (HRI) remains laboured and frustrating. Some of the bโ€ฆ

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