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

Marinarium: a New Arena to Bring Maritime Robotics Closer to Shore

Ignacio Torroba, David Dorner, Victor Nan Fernandez-Ayala, Mart Kartasev, Joris Verhagen, Elias Krantz, Gregorio Marchesini, Carl Ljung, Pedro Roque, Chelsea Sidrane, Linda Van der Spaa, Nicola De Carli, Petter Ogren, Christer Fuglesang, Jana Tumova, Dimos V. Dimarogonas, Ivan Stenius ยท 2026

This paper presents the Marinarium, a modular and stand-alone underwater research facility designed to provide a realistic testbed for maritime and space-analog robotic experimentation in a resource-eโ€ฆ

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Engineering Preprint PDF DOI

A Perspective on Open Challenges in Deformable Object Manipulation

Ryan Paul McKennaa, John Oyekan ยท 2026

Deformable object manipulation (DOM) represents a critical challenge in robotics, with applications spanning healthcare, manufacturing, food processing, and beyond. Unlike rigid objects, deformable obโ€ฆ

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Engineering Preprint PDF DOI

Digital Twin-Based Beamforming for Interference Mitigation in AF Relay MIMO Systems

Alexander Bonora, Anna V. Guglielmi, Davide Scazzoli, Marco Giordani, Maurizio Magarini, Vineeth Teeda, Stefano Tomasin ยท 2026

Beamforming in multiple-input multiple-output (MIMO) systems should take interference mitigation into account. However, for beamform design, accurate channel state information (CSI) is needed, which iโ€ฆ

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Engineering Preprint PDF DOI

Demystifying Action Space Design for Robotic Manipulation Policies

Yuchun Feng, Jinliang Zheng, Zhihao Wang, Dongxiu Liu, Jianxiong Li, Jiangmiao Pang, Tai Wang, Xianyuan Zhan ยท 2026

The specification of the action space plays a pivotal role in imitation-based robotic manipulation policy learning, fundamentally shaping the optimization landscape of policy learning. While recent adโ€ฆ

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Engineering Preprint PDF DOI

Bayesian Preference Elicitation: Human-In-The-Loop Optimization of An Active Prosthesis

Sophia Taddei, Wouter Koppen, Eligia Alfio, Stefano Nuzzo, Louis Flynn, Maria Alejandra Diaz, Sebastian Rojas Gonzalez, Tom Dhaene, Kevin De Pauw, Ivo Couckuyt, Tom Verstraten ยท 2026

Tuning active prostheses for people with amputation is time-consuming and relies on metrics that may not fully reflect user needs. We introduce a human-in-the-loop optimization (HILO) approach that leโ€ฆ

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Engineering Preprint PDF DOI

GraspLDP: Towards Generalizable Grasping Policy via Latent Diffusion

Enda Xiang, Haoxiang Ma, Xinzhu Ma, Zicheng Liu, Di Huang ยท 2026

This paper focuses on enhancing the grasping precision and generalization of manipulation policies learned via imitation learning. Diffusion-based policy learning methods have recently become the mainโ€ฆ

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Engineering Preprint PDF DOI

Design Framework and Manufacturing of an Active Magnetic Bearing Spindle for Micro-Milling Applications

Kazi Sher Ahmed, Bekir Bediz ยท 2026

Micro-milling spindles require high rotational speeds where conventional rolling element bearings face limitations such as friction and thermal expansion. Active magnetic bearings (AMBs) address theseโ€ฆ

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Engineering Preprint PDF DOI

LeRobot: An Open-Source Library for End-to-End Robot Learning

Remi Cadene, Simon Aliberts, Francesco Capuano, Michel Aractingi, Adil Zouitine, Pepijn Kooijmans, Jade Choghari, Martino Russi, Caroline Pascal, Steven Palma, Mustafa Shukor, Jess Moss, Alexander Soare, Dana Aubakirova, Quentin Lhoest, Quentin Gallouedec, Thomas Wolf ยท 2026

Robotics is undergoing a significant transformation powered by advances in high-level control techniques based on machine learning, giving rise to the field of robot learning. Recent progress in robotโ€ฆ

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Engineering Preprint PDF DOI

Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving

Yinan Zheng, Tianyi Tan, Bin Huang, Enguang Liu, Ruiming Liang, Jianlin Zhang, Jianwei Cui, Guang Chen, Kun Ma, Hangjun Ye, Long Chen, Ya-Qin Zhang, Xianyuan Zhan, Jingjing Liu ยท 2026

Diffusion models have become a popular choice for decision-making tasks in robotics, and more recently, are also being considered for solving autonomous driving tasks. However, their applications and โ€ฆ

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Engineering Preprint PDF DOI

Transformer Actor-Critic for Efficient Freshness-Aware Resource Allocation

Maryam Ansarifard, Mohit K. Sharma, Kishor C. Joshi, George Exarchakos ยท 2026

Emerging applications such as autonomous driving and industrial automation demand ultra-reliable and low-latency communication (URLLC), where maintaining fresh and timely information is critical. A keโ€ฆ

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Engineering Preprint PDF DOI

Pixel2Catch: Multi-Agent Sim-to-Real Transfer for Agile Manipulation with a Single RGB Camera

Seongyong Kim, Junhyeon Cho, Kang-Won Lee, Soo-Chul Lim ยท 2026

To catch a thrown object, a robot must be able to perceive the object's motion and generate control actions in a timely manner. Rather than explicitly estimating the object's 3D position, this work foโ€ฆ

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Engineering Preprint PDF DOI

U-Net-Based Generative Joint Source-Channel Coding for Wireless Image Transmission

Ming Ye, Kui Cai, Cunhua Pan, Zhen Mei, Wanting Yang, Chunguo Li ยท 2026

Deep learning (DL)-based joint source-channel coding (JSCC) methods have achieved remarkable success in wireless image transmission. However, these methods either focus on conventional distortion metrโ€ฆ

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Engineering Preprint PDF DOI

HyperKKL: Enabling Non-Autonomous State Estimation through Dynamic Weight Conditioning

Yahia Salaheldin Shaaban, Salem Lahlou, Abdelrahman Sayed Sayed ยท 2026

This paper proposes HyperKKL, a novel learning approach for designing Kazantzis-Kravaris/Luenberger (KKL) observers for non-autonomous nonlinear systems. While KKL observers offer a rigorous theoreticโ€ฆ

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Engineering Preprint PDF DOI

GazeXPErT: An Expert Eye-tracking Dataset for Interpretable and Explainable AI in Oncologic FDG-PET/CT Scans

Joy T Wu, Daniel Beckmann, Sarah Miller, Alexander Lee, Elizabeth Theng, Stephan Altmayer, Ken Chang, David Kersting, Tomoaki Otani, Brittany Z Dashevsky, Hye Lim Park, Matteo Novello, Kip Guja, Curtis Langlotz, Ismini Lourentzou, Daniel Gruhl, Benjamin Risse, Guido A Davidzon ยท 2026

[18F]FDG-PET/CT is a cornerstone imaging modality for tumor staging and treatment response assessment across many cancer types, yet expert reader shortages necessitate more efficient diagnostic aids. โ€ฆ

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Engineering Preprint PDF DOI

HARU-Net: Hybrid Attention Residual U-Net for Edge-Preserving Denoising in Cone-Beam Computed Tomography

Khuram Naveed, Ruben Pauwels ยท 2026

Cone-beam computed tomography (CBCT) is widely used in dental and maxillofacial imaging, but low-dose acquisition introduces strong, spatially varying noise that degrades soft-tissue visibility and obโ€ฆ

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Engineering Preprint PDF DOI

When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering

Jessie Yuan, Yilin Wu, Andrea Bajcsy ยท 2026

Policy steering is an emerging way to adapt robot behaviors at deployment-time: a learned verifier analyzes low-level action samples proposed by a pre-trained policy (e.g., diffusion policy) and selecโ€ฆ

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Engineering Preprint PDF DOI

EgoAVFlow: Robot Policy Learning with Active Vision from Human Egocentric Videos via 3D Flow

Daesol Cho, Youngseok Jang, Danfei Xu, Sehoon Ha ยท 2026

Egocentric human videos provide a scalable source of manipulation demonstrations; however, deploying them on robots requires active viewpoint control to maintain task-critical visibility, which human โ€ฆ

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Engineering Preprint PDF DOI

Hierarchical Trajectory Planning of Floating-Base Multi-Link Robot for Maneuvering in Confined Environments

Yicheng Chen, Jinjie Li, Haokun Liu, Zicheng Luo, Kotaro Kaneko, Moju Zhao ยท 2026

Floating-base multi-link robots can change their shape during flight, making them well-suited for applications in confined environments such as autonomous inspection and search and rescue. However, trโ€ฆ

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Engineering Preprint PDF DOI

Detection and Recognition: A Pairwise Interaction Framework for Mobile Service Robots

Mengyu Liang, Sarah Gillet Schlegel, Iolanda Leite ยท 2026

Autonomous mobile service robots, like lawnmowers or cleaning robots, operating in human-populated environments need to reason about local human-human interactions to support safe and socially aware nโ€ฆ

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Engineering Preprint PDF DOI

Lumosaic: Hyperspectral Video via Active Illumination and Coded-Exposure Pixels

Dhruv Verma, Andrew Qiu, Roberto Rangel, Ayandev Barman, Hao Yang, Chenjia Hu, Fengqi Zhang, Roman Genov, David B. Lindell, Kiriakos N. Kutulakos, Alex Mariakakis ยท 2026

We present Lumosaic, a compact active hyperspectral video system designed for real-time capture of dynamic scenes. Our approach combines a narrowband LED array with a coded-exposure-pixel (CEP) cameraโ€ฆ

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