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๐Ÿ” avoidance learning ๐Ÿ“‚ Engineering
Showing 39379 results for "avoidance learning" in Engineering
Engineering Preprint PDF DOI

Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks

Zhihong Liu, Yang Li, Rengming Huang, Cewu Lu, Panpan Cai ยท 2026

Open world language conditioned task planning is crucial for robots operating in large-scale household environments. While many recent works attempt to address this problem using Large Language Modelsโ€ฆ

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Engineering Preprint PDF DOI

MagneX: A High-Performance, GPU-Enabled, Data-Driven Micromagnetics Solver for Spintronics

Andy Nonaka, Yingheng Tang, Julian C. LePelch, Prabhat Kumar, Weiqun Zhang, Jorge A. Munoz, Christian Fernandez-Soria, Cesar Diaz, David J. Gardner, Zhi Jackie Yao ยท 2026

In order to comprehensively investigate the multiphysics coupling in spintronic devices, it is essential to parallelize and utilize GPU-acceleration to address the spatial and temporal disparities inhโ€ฆ

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Engineering Preprint PDF DOI

LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion

Jiangran Lyu, Kai Liu, Xuheng Zhang, Haoran Liao, Yusen Feng, Wenxuan Zhu, Tingrui Shen, Jiayi Chen, Jiazhao Zhang, Yifei Dong, Wenbo Cui, Senmao Qi, Shuo Wang, Yixin Zheng, Mi Yan, Xuesong Shi, Haoran Li, Dongbin Zhao, Ming-Yu Liu, Zhizheng Zhang, Li Yi, Yizhou Wang, He Wang ยท 2026

Recent robot foundation models largely rely on large-scale behavior cloning, which imitates expert actions but discards transferable dynamics knowledge embedded in heterogeneous embodied data. While tโ€ฆ

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Engineering Preprint PDF DOI

LatentAM: Real-Time, Large-Scale Latent Gaussian Attention Mapping via Online Dictionary Learning

Junwoon Lee, Yulun Tian ยท 2026

We present LatentAM, an online 3D Gaussian Splatting (3DGS) mapping framework that builds scalable latent feature maps from streaming RGB-D observations for open-vocabulary robotic perception. Insteadโ€ฆ

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Engineering Preprint PDF DOI

Visible and Hyperspectral Imaging for Quality Assessment of Milk: Property Characterisation and Identification

Massimo Martinelli, Elena Tomassi, Nafiou Arouna, Morena Gabriele, Laryssa Perez Fabbri, Luisa Pozzo, Bianca Castiglioni, Paola Cremonesi, Giuseppe Conte, Davide Moroni, Laura Pucci ยท 2026

Rapid and non-destructive assessment of milk quality is crucial to ensuring both nutritional value and food safety. In this study, we investigated the potential of visible and hyperspectral imaging asโ€ฆ

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Engineering Preprint PDF DOI

Affordance-Graphed Task Worlds: Self-Evolving Task Generation for Scalable Embodied Learning

Xiang Liu, Sen Cui, Guocai Yao, Zhong Cao, Jingheng Ma, Min Zhang, Changshui Zhang ยท 2026

Training robotic policies directly in the real world is expensive and unscalable. Although generative simulation enables large-scale data synthesis, current approaches often fail to generate logicallyโ€ฆ

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Engineering Preprint PDF DOI

When would Vision-Proprioception Policies Fail in Robotic Manipulation?

Jingxian Lu, Wenke Xia, Yuxuan Wu, Zhiwu Lu, Di Hu ยท 2026

Proprioceptive information is critical for precise servo control by providing real-time robotic states. Its collaboration with vision is highly expected to enhance performances of the manipulation polโ€ฆ

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Engineering Preprint PDF DOI

Accelerating Robotic Reinforcement Learning with Agent Guidance

Haojun Chen, Zili Zou, Chengdong Ma, Yaoxiang Pu, Haotong Zhang, Yuanpei Chen, Yaodong Yang ยท 2026

Reinforcement Learning (RL) offers a powerful paradigm for autonomous robots to master generalist manipulation skills through trial-and-error. However, its real-world application is stifled by low samโ€ฆ

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Engineering Preprint PDF DOI

Radio Map Prediction from Noisy Environment Information and Sparse Observations

Fabian Jaensch, Cagkan Yapar, Giuseppe Caire, Begum Demir ยท 2026

Many works have investigated radio map and path loss prediction in wireless networks using deep learning, in particular using convolutional neural networks. However, most assume perfect environment inโ€ฆ

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Engineering Preprint PDF DOI

General Humanoid Whole-Body Control via Pretraining and Fast Adaptation

Zepeng Wang, Jiangxing Wang, Shiqing Yao, Yu Zhang, Ziluo Ding, Ming Yang, Yuxuan Wang, Haobin Jiang, Chao Ma, Xiaochuan Shi, Zongqing Lu ยท 2026

Learning a general whole-body controller for humanoid robots remains challenging due to the diversity of motion distributions, the difficulty of fast adaptation, and the need for robust balance in higโ€ฆ

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Learning Perceptual Representations for Gaming NR-VQA with Multi-Task FR Signals

Yu-Chih Chen, Michael Wang, Chieh-Dun Wen, Kai-Siang Ma, Avinab Saha, Li-Heng Chen, Alan Bovik ยท 2026

No-reference video quality assessment (NR-VQA) for gaming videos is challenging due to limited human-rated datasets and unique content characteristics including fast motion, stylized graphics, and comโ€ฆ

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Engineering Preprint PDF DOI

Gradient-Based Adaptive Prediction and Control for Nonlinear Dynamical Systems

Yujing Liu, Xin Zheng, Zhixin Liu, Lei Guo ยท 2026

This paper investigates gradient-based adaptive prediction and control for nonlinear stochastic dynamical systems under a weak convexity condition on the prediction-based loss. This condition accommodโ€ฆ

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Learning to Manipulate Anything: Revealing Data Scaling Laws in Bounding-Box Guided Policies

Yihao Wu, Jinming Ma, Junbo Tan, Yanzhao Yu, Shoujie Li, Mingliang Zhou, Diyun Xiang, Xueqian Wang ยท 2026

Diffusion-based policies show limited generalization in semantic manipulation, posing a key obstacle to the deployment of real-world robots. This limitation arises because relying solely on text instrโ€ฆ

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Engineering Preprint PDF DOI

A day-ahead market model for power systems: benchmarking and security implications

Andrej Stankovski, Blazhe Gjorgiev, James Ciyu Qin, Giovanni Sansavini ยท 2026

Power system security assessments, e.g. via cascading outage models, often use operational set-points based on optimal power flow (OPF) dispatch. However, driven by cost minimization, OPF provides an โ€ฆ

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Engineering Preprint PDF DOI

EqDeepRx: Learning a Scalable MIMO Receiver

Mikko Honkala, Dani Korpi, Elias Raninen, Janne M. J. Huttunen ยท 2026

While machine learning (ML)-based receiver algorithms have received a great deal of attention in the recent literature, they often suffer from poor scaling with increasing spatial multiplexing order aโ€ฆ

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Engineering Preprint PDF DOI

AC-MASAC: An Attentive Curriculum Learning Framework for Heterogeneous UAV Swarm Coordination

Wanhao Liu, Junhong Dai, Yixuan Zhang, Shengyun Yin, Panshuo Li ยท 2026

Cooperative path planning for heterogeneous UAV swarms poses significant challenges for Multi-Agent Reinforcement Learning (MARL), particularly in handling asymmetric inter-agent dependencies and addrโ€ฆ

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Engineering Preprint PDF DOI

U-DAVI: Uncertainty-Aware Diffusion-Prior-Based Amortized Variational Inference for Image Reconstruction

Ayush Varshney, Katherine L. Bouman, Berthy T. Feng ยท 2026

Ill-posed imaging inverse problems remain challenging due to the ambiguity in mapping degraded observations to clean images. Diffusion-based generative priors have recently shown promise, but typicallโ€ฆ

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Engineering Preprint PDF DOI

BSoNet: Deep Learning Solution for Optimizing Image Quality of Portable Backscatter Imaging Systems

Linxuan Li, Wenjia Wei, Yunfei Lu, Wenwen Zhang, Yanlong Zhang, Wei Zhao ยท 2026

Portable backscatter imaging systems (PBI) integrate an X-ray source and detector in a single unit, utilizing Compton scattering photons to rapidly acquire superficial or shallow structural informatioโ€ฆ

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Engineering Preprint PDF DOI

Exploring Frequency-Domain Feature Modeling for HRTF Magnitude Upsampling

Xingyu Chen, Hanwen Bi, Fei Ma, Sipei Zhao, Eva Cheng, Ian S. Burnett ยท 2026

Accurate upsampling of Head-Related Transfer Functions (HRTFs) from sparse measurements is crucial for personalized spatial audio rendering. Traditional interpolation methods, such as kernel-based weiโ€ฆ

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Engineering Preprint PDF DOI

Human-Like Gaze Behavior in Social Robots: A Deep Learning Approach Integrating Human and Non-Human Stimuli

Faezeh Vahedi, Morteza Memari, Ramtin Tabatabaei, Alireza Taheri ยท 2026

Nonverbal behaviors, particularly gaze direction, play a crucial role in enhancing effective communication in social interactions. As social robots increasingly participate in these interactions, theyโ€ฆ

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