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Showing 1544 results for "biological" in Engineering · Preprint
Engineering Preprint PDF DOI

Modeling of Wastewater Treatment Processes with HydroSludge

S. Iserte, P. Carratala, R. Arnau, R. Martinez-Cuenca, P. Barreda, L. Basiero, J. Climent, S. Chiva · 2026

The pressure for Water Resource Recovery Facilities (WRRF) operators to efficiently treat wastewater is greater than ever because of the water crisis, produced by the climate change effects and more r…

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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 · 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 manipulatio…

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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 · 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-depe…

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Engineering Preprint PDF DOI

ALAS: Adaptive Long-Horizon Action Synthesis via Async-pathway Stream Disentanglement

Yutong Shen, Hangxu Liu, Lei Zhang, Penghui Liu, Yinqi Liu, Liuxiang Yang, Tongtong Feng · 2026

Long-Horizon (LH) tasks in Human-Scene Interaction (HSI) are complex multi-step tasks that require continuous planning, sequential decision-making, and extended execution across domains to achieve the…

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Engineering Preprint PDF DOI

Incremental learning for audio classification with Hebbian Deep Neural Networks

Riccardo Casciotti, Francesco De Santis, Alberto Antonietti, Annamaria Mesaros · 2026

The ability of humans for lifelong learning is an inspiration for deep learning methods and in particular for continual learning. In this work, we apply Hebbian learning, a biologically inspired learn…

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Engineering Preprint PDF DOI

Structured 3D-SVD: A Practical Framework for the Compression and Reconstruction of Biological Volumetric Images

Mario Aragones Lozano, Oscar Romero, Antonio Leon · 2026

This work introduces Structured 3D-SVD as a practical framework for the reconstruction, compression, and analysis of biological volumetric data. Inspired by the logic of matrix singular value decompos…

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Engineering Preprint PDF DOI

Timescale Limits of Linear-Threshold Networks

William Retnaraj, Simone Betteti, Alexander Davydov, Francesco Bullo, Jorge Cortes · 2026

Linear-threshold networks (LTNs) capture the mesoscale behavior of interacting populations of neurons and are of particular interest to control theorists due to their dynamical richness and relative e…

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Engineering Preprint PDF DOI

NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning

Hibatallah Meliani, Khadija Slimani, Samira Khoulji · 2026

To navigate a space, the brain makes an internal representation of the environment using different cells such as place cells, grid cells, head direction cells, border cells, and speed cells. All these…

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Engineering Preprint PDF DOI

An Intelligent Robotic and Bio-Digestor Framework for Smart Waste Management

Radhika Khatri, Adit Tewari, Nikhil Sharma, M. B. Srinivas · 2026

Rapid urbanization and continuous population growth have made municipal solid waste management increasingly challenging. These challenges highlight the need for smarter and automated waste management …

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Engineering Preprint PDF DOI

A multi-platform LiDAR dataset for standardized forest inventory measurement at long term ecological monitoring sites

Michael R. Chang, Anna Candotti, Karl von Ellenrieder, Enrico Tomelleri, Marco Camurri · 2026

We present a curated multi-platform LiDAR reference dataset from an instrumented ICOS forest plot, explicitly designed to support calibration, benchmarking, and integration of 3D structural data with …

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Engineering Preprint PDF DOI

Batch Effects In Brain Foundation Model Embeddings

Ye Tao, Bradley T. Baker, Yu Wu, Anand D. Sarwate, Sandeep Panta, Sergey Plis, Vince D. Calhoun · 2026

Foundation models show strong potential for large-scale, high-dimensional biomedical applications, yet their ability to capture relevant neurobiological characteristics remains underexplored. We syste…

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Engineering Preprint PDF DOI

Neuromorphic Spiking Ring Attractor for Proprioceptive Joint-State Estimation

Federica Ferrari, Flavia Davidhi, Bernard Maacaron, Alberto Motta, Luuk van Keeken, Elisa Donati, Giacomo Indiveri, Chiara De Luca, Chiara Bartolozzi · 2026

Maintaining stable internal representations of continuous variables is fundamental for effective robotic control. Continuous attractor networks provide a biologically inspired mechanism for encoding s…

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Engineering Preprint PDF DOI

Stable Long-Horizon Neural ODE Reduced-Order Models via Learned Feedback for Biological Growth and Remodeling

Joel Laudo, Adrian Buganza Tepole · 2026

Reduced-order models (ROMs) are essential for rapid simulation of complex biomechanical systems and for bridging the gap between high fidelity models and clinical application. However, ROMs for tissue…

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Engineering Preprint PDF DOI

From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems

Alexandre Muzy (ILLS) · 2026

Brain digital twins aim to provide faithful, individualized computational representations of brains as dynamical systems, enabling mechanistic understanding and supporting prediction of clinical inter…

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Engineering Preprint PDF DOI

Identifying Inductive Biases for Robot Co-Design

Apoorv Vaish, Oliver Brock · 2026

Co-designing a robot's morphology and control can ensure synergistic interactions between them, prevalent in biological organisms. However, co-design is a high-dimensional search problem. To make this…

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Engineering Preprint PDF DOI

Micro-Dexterity in Biological Micromanipulation: Embodiment, Perception, and Control

Kangyi Lu, Lan Wei, Zongcai Tan, Dandan Zhang · 2026

Microscale manipulation has advanced substantially in controlled locomotion and targeted transport, yet many biomedical applications require precise and adaptive interaction with biological micro-obje…

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Engineering Preprint PDF DOI

Minimal Embodiment Enables Efficient Learning of Number Concepts in Robot

Zhegong Shangguan, Alessandro Di Nuovo, Angelo Cangelosi · 2026

Robots are increasingly entering human-interactive scenarios that require understanding of quantity. How intelligent systems acquire abstract numerical concepts from sensorimotor experience remains a …

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Engineering Preprint PDF DOI

Block Diagram Analysis of a Design Principle for Amplitude-Frequency Profiles in Biological Oscillations

Sidhanta Mohanty, Shaunak Sen · 2026

An important design principle for biological oscillators divides the oscillators into two classes: fixed frequency, variable amplitude and fixed amplitude, variable frequency. Because of the interplay…

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Engineering Preprint PDF DOI

On Feedback Speed Control for a Planar Tracking

Xincheng Li, Tengyue Liu, Udit Halder · 2026

This paper investigates a planar tracking problem between a leader and follower agent. We propose a novel feedback speed control law, paired with a constant bearing steering strategy, to maintain an a…

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Engineering Preprint PDF DOI

The Sustainability Gap in Robotics: A Large-Scale Survey of Sustainability Awareness in 50,000 Research Articles

Antun Skuric, Leandro Von Werra, Thomas Wolf · 2026

We present a large-scale survey of sustainability communication and motivation in robotics research. Our analysis covers nearly 50,000 open-access papers from arXiv's cs.RO category published between …

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