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

ScanDP: Generalizable 3D Scanning with Diffusion Policy

Itsuki Hirako, Ryo Hakoda, Yubin Liu, Matthew Hwang, Yoshihiro Sato, Takeshi Oishi ยท 2026

Learning-based 3D Scanning plays a crucial role in enabling efficient and accurate scanning of target objects. However, recent reinforcement learning-based methods often require large-scale training dโ€ฆ

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Engineering Preprint PDF DOI

Harf-Speech: A Clinically Aligned Framework for Arabic Phoneme-Level Speech Assessment

Asif Azad, MD Sadik Hossain Shanto, Mohammad Sadat Hossain, Bdour Alwuqaysi, Sabri Boughorbel, Yahya Bokhari, Abdulrhman Aljouie, Ayah Othman Sindi, Ehsan Hoque ยท 2026

Automated phoneme-level pronunciation assessment is vital for scalable speech therapy and language learning, yet validated tools for Arabic remain scarce. We present Harf-Speech, a modular system scorโ€ฆ

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Engineering Preprint PDF DOI

SteadyTray: Learning Object Balancing Tasks in Humanoid Tray Transport via Residual Reinforcement Learning

Anlun Huang, Zhenyu Wu, Soofiyan Atar, Yuheng Zhi, Michael Yip ยท 2026

Stabilizing unsecured payloads against the inherent oscillations of dynamic bipedal locomotion remains a critical engineering bottleneck for humanoids in unstructured environments. To solve this, we iโ€ฆ

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Engineering Preprint PDF DOI

Inverse Learning-Based Output Feedback Control of Nonlinear Systems with Verifiable Guarantees

Yeongjun Jang, Hamin Chang, Heein Park, Hyeonyeong Jang, Takashi Tanaka, Hyungbo Shim ยท 2026

In this paper, we present a data-driven output feedback controller for nonlinear systems that achieves practical output regulation, using noise-free input/output measurement data. The proposed controlโ€ฆ

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Engineering Preprint PDF DOI

From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning

Zhanyi Sun, Shuran Song ยท 2026

We introduce Distribution Contractive Reinforcement Learning (DICE-RL), a framework that uses reinforcement learning (RL) as a "distribution contraction" operator to refine pretrained generative robotโ€ฆ

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Engineering Preprint PDF DOI

TATIC: Task-Aware Temporal Learning for Human Intent Inference from Physical Corrections in Human-Robot Collaboration

Jiurun Song, Xiao Liang, Minghui Zheng ยท 2026

In human-robot collaboration (HRC), robots must adapt online to dynamic task constraints and evolving human intent. While physical corrections provide a natural, low-latency channel for operators to cโ€ฆ

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Engineering Preprint PDF DOI

ARCHE: Autoregressive Residual Compression with Hyperprior and Excitation

Sofia Iliopoulou, Dimitris Ampeliotis, Athanassios Skodras ยท 2026

Recent progress in learning-based image compression has demonstrated that end-to-end optimization can substantially outperform traditional codecs by jointly learning compact latent representations andโ€ฆ

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Engineering Preprint PDF DOI

Calibration-Reasoning Framework for Descriptive Speech Quality Assessment

Elizaveta Kostenok, Mathieu Salzmann, Milos Cernak ยท 2026

Explainable speech quality assessment requires moving beyond Mean Opinion Scores (MOS) to analyze underlying perceptual dimensions. To address this, we introduce a novel post-training method that tailโ€ฆ

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Engineering Preprint PDF DOI

Cross-Hand Latent Representation for Vision-Language-Action Models

Guangqi Jiang, Yutong Liang, Jianglong Ye, Jia-Yang Huang, Changwei Jing, Rocky Duan, Pieter Abbeel, Xiaolong Wang, Xueyan Zou ยท 2026

Dexterous manipulation is essential for real-world robot autonomy, mirroring the central role of human hand coordination in daily activity. Humans rely on rich multimodal perception--vision, sound, anโ€ฆ

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Engineering Preprint PDF DOI

TiPToP: A Modular Open-Vocabulary Planning System for Robotic Manipulation

William Shen, Nishanth Kumar, Sahit Chintalapudi, Jie Wang, Christopher Watson, Edward Hu, Jing Cao, Dinesh Jayaraman, Leslie Pack Kaelbling, Tomas Lozano-Perez ยท 2026

We present TiPToP, an extensible modular system that combines pretrained vision foundation models with an existing Task and Motion Planner (TAMP) to solve multi-step manipulation tasks directly from iโ€ฆ

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TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on Microcontrollers

Pooria Roy, Nourhan Jadallah. Tomer Lapid, Shahzaib Ahmad, Armita Afroushe, Mete Bayrak ยท 2026

Autonomous navigation typically relies on power-intensive processors, limiting accessibility in low-cost robotics. Although microcontrollers offer a resource-efficient alternative, they impose strict โ€ฆ

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Kinodynamic Motion Retargeting for Humanoid Locomotion via Multi-Contact Whole-Body Trajectory Optimization

Xiaoyu Zhang, Steven Haener, Varun Madabushi, Maegan Tucker ยท 2026

We present the KinoDynamic Motion Retargeting (KDMR) framework, a novel approach for humanoid locomotion that models the retargeting process as a multi-contact, whole-body trajectory optimization probโ€ฆ

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Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand

Mohamad Alkadamani, Amir Ghasemi, Halim Yanikomeroglu ยท 2026

In the diverse landscape of 6G networks, where wireless connectivity demands surge and spectrum resources remain limited, flexible spectrum access becomes paramount. The success of crafting such schemโ€ฆ

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AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation

Colin Brown, Mohamad Alkadamani, Halim Yanikomeroglu ยท 2026

Accurately forecasting spectrum demand is a key component for efficient spectrum resource allocation and management. With the rapid growth in demand for wireless services, mobile network operators andโ€ฆ

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Efficient, Adaptive Near-Field Beam Training based on Linear Bandit

Junchi Liu, Zijun Wang, Rui Zhang ยท 2026

This letter proposes a linear bandit-based beam training framework for near-field communication under multi-path channels. By leveraging Thompson Sampling (TS), the framework adaptively balances exploโ€ฆ

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Engineering Preprint PDF DOI

Emerging Extrinsic Dexterity in Cluttered Scenes via Dynamics-aware Policy Learning

Yixin Zheng, Jiangran Lyu, Yifan Zhang, Jiayi Chen, Mi Yan, Yuntian Deng, Xuesong Shi, Xiaoguang Zhao, Yizhou Wang, Zhizheng Zhang, He Wang ยท 2026

Extrinsic dexterity leverages environmental contact to overcome the limitations of prehensile manipulation. However, achieving such dexterity in cluttered scenes remains challenging and underexplored,โ€ฆ

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Engineering Preprint PDF DOI

CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy

Su Yan, Clara Rodrigo Gonzalez, Vincent C. H. Leung, Herman Verinaz-Jadan, Jiakang Chen, Matthieu Toulemonde, Kai Riemer, Jipeng Yan, Clotilde Vie, Qingyuan Tan, Peter D. Weinberg, Pier Luigi Dragotti, Kevin G. Murphy, Meng-Xing Tang ยท 2026

Super-resolution ultrasound via microbubble (MB) localisation and tracking, also known as ultrasound localisation microscopy (ULM), can resolve microvasculature beyond the acoustic diffraction limit. โ€ฆ

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Engineering Preprint PDF DOI

Learning-Augmented Primal-Dual Control Design for Secondary Frequency Regulation

Yixuan Yu, Rajni K. Bansal, Yan Jiang, Pengcheng You ยท 2026

Frequency stability is fundamental to the secure operation of power systems. With growing uncertainty and volatility introduced by renewable generation, secondary frequency regulation must now deliverโ€ฆ

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Engineering Preprint PDF DOI

Lightweight 3D LiDAR-Based UAV Tracking: An Adaptive Extended Kalman Filtering Approach

Nivand Khosravi, Meysam Basiri, Rodrigo Ventura ยท 2026

Accurate relative positioning is crucial for swarm aerial robotics, enabling coordinated flight and collision avoidance. Although vision-based tracking has been extensively studied, 3D LiDAR-based metโ€ฆ

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Engineering Preprint PDF DOI

Finetuning a Text-to-Audio Model for Room Impulse Response Generation

Kirak Kim, Sungyoung Kim ยท 2026

Room Impulse Responses (RIRs) enable realistic acoustic simulation, with applications ranging from multimedia production to speech data augmentation. However, acquiring high-quality real-world RIRs isโ€ฆ

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