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๐Ÿ” eric strobl ๐Ÿ“‚ Engineering
Showing 4977 results for "eric strobl" in Engineering
Engineering Preprint PDF DOI

X2-N: A Transformable Wheel-legged Humanoid Robot with Dual-mode Locomotion and Manipulation

Yan Ning, Xingzhou Chen, Delong Li, Hao Zhang, Hanfu Gai, Tongyuan Li, Cheng Zhang, Zhihui Peng, Ling Shi ยท 2026

Wheel-legged robots combine the efficiency of wheeled locomotion with the versatility of legged systems, enabling rapid traversal over both continuous and discrete terrains. However, conventional desiโ€ฆ

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Engineering Preprint PDF DOI

DiariZen Explained: A Tutorial for the Open Source State-of-the-Art Speaker Diarization Pipeline

Nikhil Raghav ยท 2026

Speaker diarization (SD) is the task of answering "who spoke when" in a multi-speaker audio stream. Classically, an SD system clusters segments of speech belonging to an individual speaker's identity.โ€ฆ

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Engineering Preprint PDF DOI

From Noise to Intent: Anchoring Generative VLA Policies with Residual Bridges

Yiming Zhong, Yaoyu He, Zemin Yang, Pengfei Tian, Yifan Huang, Qingqiu Huang, Xinge Zhu, Yuexin Ma ยท 2026

Bridging high-level semantic understanding with low-level physical control remains a persistent challenge in embodied intelligence, stemming from the fundamental spatiotemporal scale mismatch between โ€ฆ

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Engineering Preprint PDF DOI

A Replicable Robotics Awareness Method Using LLM-Enabled Robotics Interaction: Evidence from a Corporate Challenge

S. A. Prieto, M. A. Gopee, Y. Ben Arab, B. Garcia de Soto, J. Esteba, P. Olivera Brizzio ยท 2026

Large language models are increasingly being explored as interfaces between humans and robotic systems, yet there remains limited evidence on how such technologies can be used not only for interactionโ€ฆ

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Engineering Preprint PDF DOI

A Deployable Embodied Vision-Language Navigation System with Hierarchical Cognition and Context-Aware Exploration

Kuan Xu, Ruimeng Liu, Yizhuo Yang, Denan Liang, Tongxing Jin, Shenghai Yuan, Chen Wang, Lihua Xie ยท 2026

Bridging the gap between embodied intelligence and embedded deployment remains a key challenge in intelligent robotic systems, where perception, reasoning, and planning must operate under strict constโ€ฆ

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Engineering Preprint PDF DOI

Learn Weightlessness: Imitate Non-Self-Stabilizing Motions on Humanoid Robot

Yucheng Xin, Jiacheng Bao, Haoran Yang, Wenqiang Que, Dong Wang, Junbo Tan, Xueqian Wang, Bin Zhao, Xuelong Li ยท 2026

The integration of imitation and reinforcement learning has enabled remarkable advances in humanoid whole-body control, facilitating diverse human-like behaviors. However, research on environment-depeโ€ฆ

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Engineering Preprint PDF DOI

Neuro-Symbolic Manipulation Understanding with Enriched Semantic Event Chains

Fatemeh Ziaeetabar ยท 2026

Robotic systems operating in human environments must reason about how object interactions evolve over time, which actions are currently being performed, and what manipulation step is likely to follow.โ€ฆ

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Engineering Preprint PDF DOI

Bimanual Robot Manipulation via Multi-Agent In-Context Learning

Alessio Palma, Indro Spinelli, Vignesh Prasad, Luca Scofano, Yufeng Jin, Georgia Chalvatzaki, Fabio Galasso ยท 2026

Language Models (LLMs) have emerged as powerful reasoning engines for embodied control. In particular, In-Context Learning (ICL) enables off-the-shelf, text-only LLMs to predict robot actions without โ€ฆ

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Engineering Preprint PDF DOI

Cortex 2.0: Grounding World Models in Real-World Industrial Deployment

Adriana Aida, Walid Amer, Katarina Bankovic, Dhruv Behl, Fabian Busch, Annie Bhalla, Minh Duong, Florian Gienger, Rohan Godse, Denis Grachev, Ralf Gulde, Elisa Hagensieker, Junpeng Hu, Shivam Joshi, Tobias Knobloch, Likith Kumar, Damien LaRocque, Keerthana Lokesh, Omar Moured, Khiem Nguyen, Christian Preyss, Ranjith Sriganesan, Vikram Singh, Carsten Sponner, Anh Tong, Dominik Tuscher, Marc Tuscher, Pavan Upputuri ยท 2026

Industrial robotic manipulation demands reliable long-horizon execution across embodiments, tasks, and changing object distributions. While Vision-Language-Action models have demonstrated strong generโ€ฆ

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Maximum Likelihood Reconstruction for Multi-Look Digital Holography with Markov-Modeled Speckle Correlation

Xi Chen, Arian Maleki, Shirin Jalali ยท 2026

Multi-look acquisition is a widely used strategy for reducing speckle noise in coherent imaging systems such as digital holography. By acquiring multiple measurements, speckle can be suppressed througโ€ฆ

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Engineering Preprint PDF DOI

VLA Foundry: A Unified Framework for Training Vision-Language-Action Models

Jean Mercat, Sedrick Keh, Kushal Arora, Isabella Huang, Paarth Shah, Haruki Nishimura, Shun Iwase, Katherine Liu ยท 2026

We present VLA Foundry, an open-source framework that unifies LLM, VLM, and VLA training in a single codebase. Most open-source VLA efforts specialize on the action training stage, often stitching togโ€ฆ

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LiveVLN: Breaking the Stop-and-Go Loop in Vision-Language Navigation

Xiangchen Wang, Weiye Zhu, Teng Wang, TianTian Geng, Zekai Zhang, Zhiyuan Qi, Jinyu Yang, Feng Zheng ยท 2026

Recent navigation systems achieve strong benchmark results, yet real-world deployment often remains visibly stop-and-go. This bottleneck arises because the sense-inference-execution loop is still blocโ€ฆ

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Engineering Preprint PDF DOI

AeroBridge-TTA: Test-Time Adaptive Language-Conditioned Control for UAVs

Lingxue Lyu ยท 2026

Language-guided unmanned aerial vehicles (UAVs) often fail not from bad reasoning or perception, but from execution mismatch: the gap between a planned trajectory and the controller's ability to traโ€ฆ

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Engineering Preprint PDF DOI

QoS-Constrained Scheduling in Multi-Cell Multi-User MIMO Networks

Tenghao Cai, Lei Li, Tsung-Hui Chang ยท 2026

In 5G and beyond networks, efficient scheduling is essential to exploit the gains of multi-user MIMO (MU-MIMO) equipped with carrier aggregation and joint transmission (JT). However, cross-cell and crโ€ฆ

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Maritime Connectivity Vulnerability Index: Construction, Patterns, and Validation Across 185 Economies, 2006-2025

Mohamed Bouka, Moulaye Abdel Kader Moulaye Ismail ยท 2026

Recent disruptions at major maritime chokepoints have exposed the structural fragility of liner shipping networks. Existing indicators measure connectivity, but none quantify its structural vulnerabilโ€ฆ

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Engineering Preprint PDF DOI

Impact of CSIR, SIC, and Hardware Impairments on the Ergodic Rate of Downlink RSMA

Farjam Karim, Deepak Kumar, Prathapasinghe Dharmawansa, Nurul Huda Mahmood, Arthur Sousa de Sena, Matti Latva-aho ยท 2026

This work investigates the ergodic rate performance analysis of rate-splitting multiple access (RSMA) in a downlink communication system under practical impairments. Closed-form expressions are deriveโ€ฆ

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Paradigm Shift from Statistical Channel Modeling to Digital Twin Prediction: An Environment-Generalizable ChannelLM for 6G AI-enabled Air Interface

Yichen Cai, Yuelong Qiu, Jianhua Zhang, Li Yu, Yuxiang Zhang, Zhen Zhang, Guangyi Liu ยท 2026

As 6G advances, ubiquitous connectivity and higher capacity requirements of the air interface pose substantial challenges for accurate and real-time wireless channel acquisition in diverse environmentโ€ฆ

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SpaceDex: Generalizable Dexterous Grasping in Tiered Workspaces

Wensheng Wang, Chuanjun Guo, Wei Wei, Tong Wu, Ning Tan ยท 2026

Generalizable grasping with high-degree-of-freedom (DoF) dexterous hands remains challenging in tiered workspaces, where occlusion, narrow clearances, and height-dependent constraints are substantiallโ€ฆ

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Building Low-Altitude Communication Networks: A Digital Twin-Based Optimization Framework

Boqun Huang, Yancheng Wang, Wei Guo, Zhaojie Guo, Di Wu, Ran Li, Dayang Liu, Wanshun Lan, Chuan Huang, Shuguang Cui ยท 2026

Low-altitude communication networks (LACNs) serve as the critical infrastructure of the emerging low-altitude economy (LAE), supporting services such as drone delivery and infrastructure inspection. Hโ€ฆ

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Prosody as Supervision: Bridging the Non-Verbal--Verbal for Multilingual Speech Emotion Recognition

Girish, Mohd Mujtaba Akhtar, Muskaan Singh ยท 2026

In this work, we introduce a paralinguistic supervision paradigm for low-resource multilingual speech emotion recognition (LRM-SER) that leverages non-verbal vocalizations to exploit prosody-centric eโ€ฆ

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