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

Concept-Based Dictionary Learning for Inference-Time Safety in Vision Language Action Models

Siqi Wen, Shu Yang, Shaopeng Fu, Jingfeng Zhang, Lijie Hu, Di Wang ยท 2026

Vision Language Action (VLA) models close the perception action loop by translating multimodal instructions into executable behaviors, but this very capability magnifies safety risks: jailbreaks that โ€ฆ

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Engineering Preprint PDF DOI

RFS: Reinforcement Learning with Residual Flow Steering for Dexterous Manipulation

Entong Su, Tyler Westenbroek, Anusha Nagabandi, Abhishek Gupta ยท 2026

Imitation learning has emerged as an effective approach for bootstrapping sequential decision-making in robotics, achieving strong performance even in high-dimensional dexterous manipulation tasks. Reโ€ฆ

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Engineering Preprint PDF DOI

Uncertainty-Aware Non-Prehensile Manipulation with Mobile Manipulators under Object-Induced Occlusion

Jiwoo Hwang, Taegeun Yang, Jeil Jeong, Minsung Yoon, Sung-Eui Yoon ยท 2026

Non-prehensile manipulation using onboard sensing presents a fundamental challenge: the manipulated object occludes the sensor's field of view, creating occluded regions that can lead to collisions. Wโ€ฆ

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Engineering Preprint PDF DOI

Mutual-Guided Expert Collaboration for Cross-Subject EEG Classification

Zhi Zhang, Yan Liu, Zhejing Hu, Gong Chen, Jiannong Cao, Shenghua Zhong, Sean Fontaine, Changhong Jing, Shuqiang Wang ยท 2026

Decoding the human brain from electroencephalography (EEG) signals holds promise for understanding neurological activities. However, EEG data exhibit heterogeneity across subjects and sessions, limitiโ€ฆ

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Engineering Preprint PDF DOI

GSR: Learning Structured Reasoning for Embodied Manipulation

Kewei Hu, Michael Zhang, Wei Ying, Tianhao Liu, Guoqiang Hao, Zimeng Li, Wanchan Yu, Jiajian Jing, Fangwen Chen, Hanwen Kang ยท 2026

Despite rapid progress, embodied agents still struggle with long-horizon manipulation that requires maintaining spatial consistency, causal dependencies, and goal constraints. A key limitation of exisโ€ฆ

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Engineering Preprint PDF DOI

Hyperspectral Image Fusion with Spectral-Band and Fusion-Scale Agnosticism

Yu-Jie Liang, Zihan Cao, Liang-Jian Deng, Yang Yang, Malu Zhang ยท 2026

Current deep learning models for Multispectral and Hyperspectral Image Fusion (MS/HS fusion) are typically designed for fixed spectral bands and spatial scales, which limits their transferability acroโ€ฆ

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Engineering Preprint PDF DOI

Towards Autonomous Instrument Tray Assembly for Sterile Processing Applications

Raghavasimhan Sankaranarayanan, Paul Stuart, Nicholas Ahn, Arno Sungarian, Yash Chitalia ยท 2026

The Sterile Processing and Distribution (SPD) department is responsible for cleaning, disinfecting, inspecting, and assembling surgical instruments between surgeries. Manual inspection and preparationโ€ฆ

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Engineering Preprint PDF DOI

A Closed-Form Geometric Retargeting Solver for Upper Body Humanoid Robot Teleoperation

Chuizheng Kong, Yunho Cho, Wonsuhk Jung, Idris Wibowo, Parth Shinde, Sundhar Vinodh-Sangeetha, Long Kiu Chung, Zhenyang Chen, Andrew Mattei, Advaith Nidumukkala, Alexander Elias, Danfei Xu, Taylor Higgins, Shreyas Kousik ยท 2026

Retargeting human motion to robot poses is a practical approach for teleoperating bimanual humanoid robot arms, but existing methods can be suboptimal and slow, often causing undesirable motion or latโ€ฆ

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Engineering Preprint PDF DOI

UniDWM: Towards a Unified Driving World Model via Multifaceted Representation Learning

Shuai Liu, Siheng Ren, Xiaoyao Zhu, Quanmin Liang, Zefeng Li, Qiang Li, Xin Hu, Kai Huang ยท 2026

Achieving reliable and efficient planning in complex driving environments requires a model that can reason over the scene's geometry, appearance, and dynamics. We present UniDWM, a unified driving worโ€ฆ

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Engineering Preprint PDF DOI

Hybrid Control Technique for Switched LPV Systems and Its Application to Active Magnetic Bearing System

Fen Wu ยท 2026

This paper proposes a novel hybrid control framework for switched linear parameter-varying (LPV) systems under hysteresis switching logic. By introducing a controller state-reset mechanism, the hybridโ€ฆ

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Engineering Preprint PDF DOI

A texture-based framework for foundational ultrasound models

Tal Grutman, Carmel Shinar, Tali Ilovitsh ยท 2026

Ultrasound is the most widely used medical imaging modality, yet the images it produces are fundamentally unique, arising from tissue-dependent scattering, reflection, and speed-of-sound variations thโ€ฆ

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Engineering Preprint PDF DOI

The Enhanced Physics-Informed Kolmogorov-Arnold Networks: Applications of Newton's Laws in Financial Deep Reinforcement Learning (RL) Algorithms

Trang Thoi, Hung Tran, Tram Thoi, Huaiyang Zhong ยท 2026

Deep Reinforcement Learning (DRL), a subset of machine learning focused on sequential decision-making, has emerged as a powerful approach for tackling financial trading problems. In finance, DRL is coโ€ฆ

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Engineering Preprint PDF DOI

Reinforcement Learning for Active Perception in Autonomous Navigation

Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis ยท 2026

This paper addresses the challenge of active perception within autonomous navigation in complex, unknown environments. Revisiting the foundational principles of active perception, we introduce an end-โ€ฆ

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Engineering Preprint PDF DOI

Scientific Machine Learning for Resilient EV-Grid Planning and Decision Support Under Extreme Events

Yifan Wang ยท 2026

Electric vehicle (EV) charging infrastructure introduces complex challenges to urban distribution networks, particularly under extreme demand events. A critical barrier to resilience assessment is theโ€ฆ

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Engineering Preprint PDF DOI

Generative AI in Signal Processing Education: An Audio Foundation Model Based Approach

Muhammad Salman Khan, Ahmad Ullah, Siddique Latif, Junaid Qadir ยท 2026

Audio Foundation Models (AFMs), a specialized category of Generative AI (GenAI), have the potential to transform signal processing (SP) education by integrating core applications such as speech and auโ€ฆ

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Engineering Preprint PDF DOI

SkySim: A ROS2-based Simulation Environment for Natural Language Control of Drone Swarms using Large Language Models

Aditya Shibu, Marah Saleh, Mohamed Al-Musleh, Nidhal Abdulaziz ยท 2026

Unmanned Aerial Vehicle (UAV) swarms offer versatile applications in logistics, agriculture, and surveillance, yet controlling them requires expert knowledge for safety and feasibility. Traditional stโ€ฆ

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Engineering Preprint PDF DOI

SPOT: Spatio-Temporal Obstacle-free Trajectory Planning for UAVs in an Unknown Dynamic Environment

Astik Srivastava, Thomas J Chackenkulam, Bitla Bhanu Teja, Antony Thomas, Madhava Krishna ยท 2026

We address the problem of reactive motion planning for quadrotors operating in unknown environments with dynamic obstacles. Our approach leverages a 4-dimensional spatio-temporal planner, integrated wโ€ฆ

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Engineering Preprint PDF DOI

UniForce: A Unified Latent Force Model for Robot Manipulation with Diverse Tactile Sensors

Zhuo Chen, Fei Ni, Kaiyao Luo, Zhiyuan Wu, Xuyang Zhang, Emmanouil Spyrakos-Papastavridis, Lorenzo Jamone, Nathan F. Lepora, Jiankang Deng, Shan Luo ยท 2026

Force sensing is essential for dexterous robot manipulation, but scaling force-aware policy learning is hindered by the heterogeneity of tactile sensors. Differences in sensing principles (e.g., opticโ€ฆ

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Engineering Preprint PDF DOI

KAN We Flow? Advancing Robotic Manipulation with 3D Flow Matching via KAN & RWKV

Zhihao Chen, Yiyuan Ge, Ziyang Wang ยท 2026

Diffusion-based visuomotor policies excel at modeling action distributions but are inference-inefficient, since recursively denoising from noise to policy requires many steps and heavy UNet backbones,โ€ฆ

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Engineering Preprint PDF DOI

Failure-Aware Bimanual Teleoperation via Conservative Value Guided Assistance

Peng Zhou, Zhongxuan Li, Jinsong Wu, Jiaming Qi, Jun Hu, David Navarro-Alarcon, Jia Pan, Lihua Xie, Shiyao Zhang, Zeqing Zhang ยท 2026

Teleoperation of high-precision manipulation is con-strained by tight success tolerances and complex contact dy-namics, which make impending failures difficult for human operators to anticipate under โ€ฆ

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