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

GPO: Growing Policy Optimization for Legged Robot Locomotion and Whole-Body Control

Shuhao Liao, Peizhuo Li, Xinrong Yang, Linnan Chang, Zhaoxin Fan, Qing Wang, Lei Shi, Yuhong Cao, Wenjun Wu, Guillaume Sartoretti ยท 2026

Training reinforcement learning (RL) policies for legged robots remains challenging due to high-dimensional continuous actions, hardware constraints, and limited exploration. Existing methods for locoโ€ฆ

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Engineering Preprint PDF DOI

Deep Learning based Three-stage Solution for ISAC Beamforming Optimization

Qian Gao, Ruikang Zhong, Yuanwei Liu ยท 2026

In this paper, a general ISAC system where the base station (BS) communicates with multiple users and performs target detection is considered. Then, a sum communication rate maximization problem is foโ€ฆ

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Engineering Preprint PDF DOI

Integrated Sensing and Communication for Segmented Waveguide-Enabled Pinching Antenna Systems

Qian Gao, Ruikang Zhong, Hyundong Shin, Yuanwei Liu ยท 2026

In this paper, an integrated sensing and communication (ISAC) design for segmented waveguide-enabled pinching-antenna array (SWAN) systems is proposed to improve the performance of systems by leveragiโ€ฆ

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Engineering Preprint PDF DOI

RL based Beamforming Optimization for 3D Pinching Antenna assisted ISAC Systems

Qian Gao, Ruikang Zhong, Yue Liu, Hyundong Shin, Yuanwei Liu ยท 2026

In this paper, a three-dimensional (3D) deployment scheme of pinching antenna array is proposed, aiming to enhances the performance of integrated sensing and communication (ISAC) systems. To fully reaโ€ฆ

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Engineering Preprint PDF DOI

User Localization via Active Sensing with Electromagnetically Reconfigurable Antennas

Ruizhi Zhang, Yuchen Zhang, Ying Zhang ยท 2026

This paper presents an end-to-end deep learning framework for electromagnetically reconfigurable antenna (ERA)-aided user localization with active sensing, where ERAs provide additional electromagnetiโ€ฆ

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Engineering Preprint PDF DOI

MARVL: Multi-Stage Guidance for Robotic Manipulation via Vision-Language Models

Xunlan Zhou, Xuanlin Chen, Shaowei Zhang, Xiangkun Li, ShengHua Wan, Xiaohai Hu, Lei Yuan, Le Gan, De-chuan Zhan ยท 2026

Designing dense reward functions is pivotal for efficient robotic Reinforcement Learning (RL). However, most dense rewards rely on manual engineering, which fundamentally limits the scalability and auโ€ฆ

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Engineering Preprint PDF DOI

Erasing Your Voice Before It's Heard: Training-free Speaker Unlearning for Zero-shot Text-to-Speech

Myungjin Lee, Eunji Shin, Jiyoung Lee ยท 2026

Modern zero-shot text-to-speech (TTS) models offer unprecedented expressivity but also pose serious crime risks, as they can synthesize voices of individuals who never consented. In this context, speaโ€ฆ

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Engineering Preprint PDF DOI

STORM: Slot-based Task-aware Object-centric Representation for robotic Manipulation

Alexandre Chapin (LIRIS), Emmanuel Dellandrea (LIRIS), Liming Chen (LIRIS) ยท 2026

Visual foundation models provide strong perceptual features for robotics, but their dense representations lack explicit object-level structure, limiting robustness and contractility in manipulation taโ€ฆ

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Engineering Preprint PDF DOI

RF-MatID: Dataset and Benchmark for Radio Frequency Material Identification

Xinyan Chen, Qinchun Li, Ruiqin Ma, Jiaqi Bai, Li Yi, Jianfei Yang ยท 2026

Accurate material identification plays a crucial role in embodied AI systems, enabling a wide range of applications. However, current vision-based solutions are limited by the inherent constraints of โ€ฆ

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Engineering Preprint PDF DOI

Demonstration-Free Robotic Control via LLM Agents

Brian Y. Tsui, Alan Y. Fang, Tiffany J. Hwu ยท 2026

Robotic manipulation has increasingly adopted vision-language-action (VLA) models, which achieve strong performance but typically require task-specific demonstrations and fine-tuning, and often generaโ€ฆ

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Engineering Preprint PDF DOI

TouchGuide: Inference-Time Steering of Visuomotor Policies via Touch Guidance

Zhemeng Zhang, Jiahua Ma, Xincheng Yang, Xin Wen, Yuzhi Zhang, Boyan Li, Yiran Qin, Jin Liu, Can Zhao, Li Kang, Haoqin Hong, Zhenfei Yin, Philip Torr, Hao Su, Ruimao Zhang, Daolin Ma ยท 2026

Fine-grained and contact-rich manipulation remain challenging for robots, largely due to the underutilization of tactile feedback. To address this, we introduce TouchGuide, a novel cross-policy visuo-โ€ฆ

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Engineering Preprint PDF DOI

WirelessJEPA: A Multi-Antenna Foundation Model using Spatio-temporal Wireless Latent Predictions

Viet Chu, Omar Mashaal, Hatem Abou-Zeid ยท 2026

We propose WirelessJEPA, a novel wireless foundation model (WFM) that uses the Joint Embedding Predictive Architecture (JEPA). WirelessJEPA learns general-purpose representations directly from real-woโ€ฆ

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Engineering Preprint PDF DOI

OptAgent: an Agentic AI framework for Intelligent Building Operations

Zixin Jiang, Weili Xu, Bing Dong ยท 2026

The urgent need for building decarbonization calls for a paradigm shift in future autonomous building energy operation, from human-intensive engineering workflows toward intelligent agents that interaโ€ฆ

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E2HiL: Entropy-Guided Sample Selection for Efficient Real-World Human-in-the-Loop Reinforcement Learning

Haoyuan Deng, Yuanjiang Xue, Haoyang Du, Boyang Zhou, Zhenyu Wu, Ziwei Wang ยท 2026

Human-in-the-loop guidance has emerged as an effective approach for enabling faster convergence in online reinforcement learning (RL) of complex real-world manipulation tasks. However, existing human-โ€ฆ

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Engineering Preprint PDF DOI

Estimating Trust in Human-Robot Collaboration through Behavioral Indicators and Explainability

Giulio Campagna, Marta Lagomarsino, Marta Lorenzini, Dimitrios Chrysostomou, Matthias Rehm, Arash Ajoudani ยท 2026

Industry 5.0 focuses on human-centric collaboration between humans and robots, prioritizing safety, comfort, and trust. This study introduces a data-driven framework to assess trust using behavioral iโ€ฆ

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Engineering Preprint PDF DOI

A Latent Space Framework for Modeling Transient Engine Emissions Using Joint Embedding Predictive Architectures

Ganesh Sundaram, Tobias Gehra, Jonas Ulmen, Mirjan Heubaum, Daniel Gorges, Michael Gunthner ยท 2026

Accurately modeling and controlling vehicle exhaust emissions during transient events, such as rapid acceleration, is critical for meeting environmental regulations and optimizing powertrains. Conventโ€ฆ

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Engineering Preprint PDF DOI

Reimagining Social Robots as Recommender Systems: Foundations, Framework, and Applications

Jin Huang, Fethiye Irmak Dogan, Hatice Gunes ยท 2026

Personalization in social robots refers to the ability of the robot to meet the needs and/or preferences of an individual user. Existing approaches typically rely on large language models (LLMs) to geโ€ฆ

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Engineering Preprint PDF DOI

Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification

Jyun-Ping Kao, Jiaxin Yang, C.-C. Jay Kuo, Jonghye Woo ยท 2026

Echocardiography is a cornerstone for managing heart failure (HF), with Left Ventricular Ejection Fraction (LVEF) being a critical metric for guiding therapy. However, manual LVEF assessment suffers fโ€ฆ

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Engineering Preprint PDF DOI

Improved Initialization for Port-Hamiltonian Neural Network Models

G.J.E. van Otterdijk, S. Weiland, M. Schoukens ยท 2026

Port-Hamiltonian neural networks have shown promising results in the identification of nonlinear dynamics of complex systems, as their combination of physical principles with data-driven learning alloโ€ฆ

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Engineering Preprint PDF DOI

Audio Deepfake Detection at the First Greeting: "Hi!"

Haohan Shi, Xiyu Shi, Safak Dogan, Tianjin Huang, Yunxiao Zhang ยท 2026

This paper focuses on audio deepfake detection under real-world communication degradations, with an emphasis on ultra-short inputs (0.5-2.0s), targeting the capability to detect synthetic speech at a โ€ฆ

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