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๐Ÿ” aum pandya ๐Ÿ“‚ Engineering
Showing 6160 results for "aum pandya" in Engineering
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

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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

A Comparative study on THz Communication Systems: Photonics versus Electronics Approaches

Talha Rahman, Murat Uysal ยท 2026

Terahertz (THz) communication has emerged as a key enabler for sixth-generation (6G) networks, offering ultrawide bandwidths to support data-intensive applications such as holographic telepresence andโ€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

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

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

Improving Sensing Coverage and Compliance of 3D-Printed Artificial Skins Through Multi-Modal Sensing and Soft Materials

Carson Kohlbrenner, Caleb Escobedo, Sayak Ray, Alexander Dickhans, Anna Soukhovei, Nickolaus Jackoski, Lyle Antieau, Alessandro Roncone ยท 2026

3D-printed artificial skins are a scalable approach to whole-body tactile and proximity coverage, but prior implementations have been limited to unimodal sensing and rigid materials. To improve the prโ€ฆ

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Engineering Preprint PDF DOI

ANCHOR: A Physically Grounded Closed-Loop Framework for Robust Home-Service Mobile Manipulation

Jinhao Jiang, Shengyu Fang, Sibo Zuo, Yujie Tang, Yirui Li ยท 2026

Recent advances in open-vocabulary mobile manipulation have brought robots into real domestic environments. In such settings, reliable long-horizon execution under open-set object references and frequโ€ฆ

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Engineering Preprint PDF DOI

CONCERTO: Characterization of analog readout electronics

Mounir Abdkrimi (NEEL - MagSup), Olivier Rossetto (LPSC), O. Bourrion (LPSC), Christophe Vescovi (LPSC), C. Hoarau (LPSC) ยท 2026

CONCERTO is a millimeter-wave imaging instrument that operated on the Atacama Pathfinder Experiment (APEX) telescope from April 2021 to May 2023. Its primary scientific objectives include the study ofโ€ฆ

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Engineering Preprint PDF DOI

Assessing the dynamic response of long-span bridges under simultaneous wind and traffic loads

Gledson Rodrigo Tondo, Guido Morgenthal ยท 2026

Wind-traffic interactions strongly influence the dynamic response of long-span bridges, yet loads are often analysed independently. This work models concurrent wind and traffic and demonstrates that iโ€ฆ

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Engineering Preprint PDF DOI

Coordinated Multipoint Anti-jamming Beam Pattern Synthesis: From AI Accelerated Algorithm to Hardware Implementation

Zilong Wang, Cheng Zhang, Zhilei Zhang, Yaxuan Hu, Wen Wang, Yongming Huang ยท 2026

This paper presents a deep unfolding-supported coordinated multipoint beam pattern synthesis (DUCoMP-BPS) scheme to overcome the high complexity, poor adaptability, and limited scalability of traditioโ€ฆ

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Engineering Preprint PDF DOI

EgoLive: A Large-Scale Egocentric Dataset from Real-World Human Tasks

Yihang Li, Xuelong Wei, Jingzhou Luo, Yingjing Xiao, Yibo Bai, Guangyuan Zhou, Teng Zou, Chenguang Gui, Jiajun Wen, He Zhang, Kangliang Chen, Xing Pan, Shuaiyan Liu, Daming Wang, Tao An, Jiayi Li, Shibo Jin, Wanwan Zhang, Tianyu Wang, Boren Wei, Zhixuan Huang, Fangsheng Liu, Ruodai Li, Hui Zhang, Anson Li, Yicheng Gong, Peng Cao, Jiaming Liang, Liang Lin ยท 2026

The advancement of robot learning is currently hindered by the scarcity of large-scale, high-quality datasets. While established data collection methods such as teleoperation and universal manipulatioโ€ฆ

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Engineering Preprint PDF DOI

GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories

Jon Goikoetxea, Jesus F. Palacian ยท 2026

Imitation learning is a well-established approach for machine-learning-based control. However, its applicability depends on having access to demonstrations, which are often expensive to collect and/orโ€ฆ

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Engineering Preprint PDF DOI

Advancing automatic speech recognition using feature fusion with self-supervised learning features: A case study on Fearless Steps Apollo corpus

Szu-Jui Chen, John H.L. Hansen ยท 2026

Using self-supervised learning (SSL) models has significantly improved performance for downstream speech tasks, surpassing the capabilities of traditional hand-crafted features. This study investigateโ€ฆ

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Engineering Preprint PDF DOI

Using Assembly Language for Creating Games

Haris Turkmanovic, David Vukoje, Aleksandra Lekic, Milan Prokin ยท 2026

The aim of this paper is to demonstrate some interesting and useful approaches for writing a program in the assembly language. In order to demonstrate the possibilities of the assembly language, a proโ€ฆ

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Engineering Preprint PDF DOI

PREVENT-JACK: Context Steering for Swarms of Long Heavy Articulated Vehicles

Adrian Baruck, Michael Dube, Christoph Steup, Sanaz Mostaghim ยท 2026

In this paper, we aim to extend the traditional point-mass-like robot representation in swarm robotics and instead study a swarm of long Heavy Articulated Vehicles (HAVs). HAVs are kinematically constโ€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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Engineering Preprint PDF DOI

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems

Wenjian Hao, Yuxuan Fang, Zehui Lu, Shaoshuai Mou ยท 2026

This paper presents a model-based reinforcement learning (RL) framework for optimal closed-loop control of nonlinear robotic systems. The proposed approach learns linear lifted dynamics through Koopmaโ€ฆ

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Engineering Preprint PDF DOI

Indic-CodecFake meets SATYAM: Towards Detecting Neural Audio Codec Synthesized Speech Deepfakes in Indic Languages

Girish, Mohd Mujtaba Akhtar, Orchid Chetia Phukan, Arun Balaji Buduru ยท 2026

The rapid advancement of Audio Large Language Models (ALMs), driven by Neural Audio Codecs (NACs), has led to the emergence of highly realistic speech deepfakes, commonly referred to as CodecFakes (CFโ€ฆ

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