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๐Ÿ” quan geng ๐Ÿ“‚ Engineering
Showing 459 results for "quan geng" in Engineering
Engineering Preprint PDF DOI

An Exponentially stable Extended Kalman Filter with Estimate dependent Process noise Covariance for Chemical Reaction Networks

Suryasnata Dash, Abhishek Dey ยท 2026

Biomolecular systems are often modeled with partially known nonlinear stochastic dynamics, making state and parameter estimation a central challenge. While Kalman filtering techniques are widely used โ€ฆ

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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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Build on Priors: Vision--Language--Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation

Pierrick Lorang, Johannes Huemer, Timothy Duggan, Kai Goebel, Patrik Zips, Matthias Scheutz ยท 2026

Enabling robots to learn long-horizon manipulation tasks from a handful of demonstrations remains a central challenge in robotics. Existing neuro-symbolic approaches often rely on hand-crafted symboliโ€ฆ

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Engineering Preprint PDF DOI

S3KF: Spherical State-Space Kalman Filtering for Panoramic 3D Multi-Object Tracking

Zhongyuan Liu, Shaonan Yu, Jianping Li, Pengfei Wan, Xinhang Xu, Pengfei Wang, Maggie Y. Gao, Lihua Xie ยท 2026

Panoramic multi-object tracking is important for industrial safety monitoring, wide-area robotic perception, and infrastructure-light deployment in large workspaces. In these settings, the sensing sysโ€ฆ

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Engineering Preprint PDF DOI

Modeling isotropic polyconvex hyperelasticity by neural networks -- sufficient and necessary criteria for compressible and incompressible materials

Gian-Luca Geuken, Patrick Kurzeja, David Wiedemann, Martin Zlatic, Marko Cana{dj}ija, Jorn Mosler ยท 2026

This work investigates different sufficient and necessary criteria for hyperelastic, isotropic polyconvex material models, focusing on neural network implementations for compressible and incompressiblโ€ฆ

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Engineering Preprint PDF DOI

SwarmCoDe: A Scalable Co-Design Framework for Heterogeneous Robot Swarms via Dynamic Speciation

Andrew Wilhelm, Josie Hughes ยท 2026

Robot swarms offer inherent robustness and the capacity to execute complex, collaborative tasks surpassing the capabilities of single-agent systems. Co-designing these systems is critical, as marginalโ€ฆ

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Engineering Preprint PDF DOI

ANVIL: Accelerator-Native Video Interpolation via Codec Motion Vector Priors

Shibo Liu ยท 2026

Real-time 30-to-60 fps video frame interpolation on mobile neural processing units (NPUs) requires each synthesized frame within 33.3 ms. We show that mainstream flow-based video frame interpolation fโ€ฆ

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Engineering Preprint PDF DOI

Development of ML model for triboelectric nanogenerator based sign language detection system

Meshv Patel, Bikash Baro, Sayan Bayan, Mohendra Roy ยท 2026

Sign language recognition (SLR) is vital for bridging communication gaps between deaf and hearing communities. Vision-based approaches suffer from occlusion, computational costs, and physical constraiโ€ฆ

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Engineering Preprint PDF DOI

GustPilot: A Hierarchical DRL-INDI Framework for Wind-Resilient Quadrotor Navigation

Amir Atef Habel, Roohan Ahmed Khan, Fawad Mehboob, Clement Fortin, Dzmitry Tsetserukou ยท 2026

Wind disturbances remain a key barrier to reliable autonomous navigation for lightweight quadrotors, where the rapidly varying airflow can destabilize both planning and tracking. This paper introducesโ€ฆ

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V-Dreamer: Automating Robotic Simulation and Trajectory Synthesis via Video Generation Priors

Songjia He, Zixuan Chen, Hongyu Ding, Dian Shao, Jieqi Shi, Chenxu Li, Jing Huo, Yang Gao ยท 2026

Training generalist robots demands large-scale, diverse manipulation data, yet real-world collection is prohibitively expensive, and existing simulators are often constrained by fixed asset libraries โ€ฆ

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Engineering Preprint PDF DOI

GenZ-LIO: Generalizable LiDAR-Inertial Odometry Beyond Indoor--Outdoor Boundaries

Daehan Lee, Hyungtae Lim, Seongjun Kim, Soonbin Rho, Changhyeon Lee, Sanghyun Park, Junwoo Hong, Eunseon Choi, Hyunyoung Jo, Soohee Han ยท 2026

Light detection and ranging (LiDAR)-inertial odometry (LIO) enables accurate localization and mapping for autonomous navigation in various scenes. However, its performance remains sensitive to variatiโ€ฆ

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Whole-Body Safe Control of Robotic Systems with Koopman Neural Dynamics

Sebin Jung, Abulikemu Abuduweili, Jiaxing Li, Changliu Liu ยท 2026

Controlling robots with strongly nonlinear, high-dimensional dynamics remains challenging, as direct nonlinear optimization with safety constraints is often intractable in real time. The Koopman operaโ€ฆ

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Engineering Preprint PDF DOI

RL-Based Coverage Path Planning for Deformable Objects on 3D Surfaces

Yuhang Zhang, Jinming Ma, Feng Wu ยท 2026

Currently, manipulation tasks for deformable objects often focus on activities like folding clothes, handling ropes, and manipulating bags. However, research on contact-rich tasks involving deformableโ€ฆ

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Molecular Dynamics Simulations Reveal PolyQ-Length-Dependent Conformational Changes in Huntingtin Exon-1: Implications for Environmental Co-Solvent Modulation of Aggregation-Prone States

Jai Geddes-Nelson, Xiaochen Liu, Ken-Tye Yong ยท 2026

Huntington's disease (HD) is caused by CAG-repeat expansion in HTT, which lengthens the polyglutamine (polyQ) tract in huntingtin (HTT) and promotes misfolding and aggregation. While polyQ-length-depeโ€ฆ

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Generative AI and Machine Learning Collaboration for Container Dwell Time Prediction via Data Standardization

Minseop Kim, Takhyeong Kim, Taekhyun Park, Hanbyeol Park, Hyerim Bae ยท 2026

Import container dwell time (ICDT) prediction is a key task for improving productivity in container terminals, as accurate predictions enable the reduction of container re-handling operations by yard โ€ฆ

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Engineering Preprint PDF DOI

Multicellular Feedback Control Strategies in Synthetic Microbial Consortia: From Embedded to Distributed Control

Mario di Bernardo ยท 2026

Living organisms rely on endogenous feedback mechanisms to maintain homeostasis in the presence of uncertainty and environmental fluctuations. An emerging challenge at the interface of control systemsโ€ฆ

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Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction

Yinhua Piao, Hyomin Kim, Seonghwan Kim, Yunhak Oh, Junhyeok Jeon, Sang-Yeon Hwang, Jaechang Lim, Woo Youn Kim, Chanyoung Park, Sungsoo Ahn ยท 2026

Predicting high-dimensional transcriptional responses to genetic perturbations is challenging due to severe experimental noise and sparse gene-level effects. Existing methods often suffer from mean coโ€ฆ

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RoboSubtaskNet: Temporal Sub-task Segmentation for Human-to-Robot Skill Transfer in Real-World Environments

Dharmendra Sharma, Archit Sharma, John Rebeiro, Vaibhav Kesharwani, Peeyush Thakur, Narendra Kumar Dhar, Laxmidhar Behera ยท 2026

Temporally locating and classifying fine-grained sub-task segments in long, untrimmed videos is crucial to safe human-robot collaboration. Unlike generic activity recognition, collaborative manipulatiโ€ฆ

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Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics

Ali ElSheikh, Rui-Xi Wang, Weimin Wu, Yibo Wen, Payam Dibaeinia, Jennifer Yuntong Zhang, Jerry Yao-Chieh Hu, Mei Knudson, Sudarshan Babu, Shao-Hua Sun, Aly A. Khan, Han Liu ยท 2026

Single-cell foundation models learn by reconstructing masked gene expression, implicitly treating technical noise as signal. With dropout rates exceeding 90%, reconstruction objectives encourage modelโ€ฆ

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Reducing End-to-End Latency of Cause-Effect Chains with Shared Cache Analysis

Yixuan Zhu, Yinkang Gao, Bo Zhang, Xiaohang Gong, Binze Jiang, Lei Gong, Wenqi Lou, Teng Wang, Chao Wang, Xi Li, Xuehai Zhou ยท 2026

Cause-effect chains, as a widely used modeling method in real-time embedded systems, are extensively applied in various safety-critical domains. End-to-end latency, as a key real-time attribute of cauโ€ฆ

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