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

Optimisation of SOUP-GAN and CSR-GAN for High Resolution MR Images Reconstruction

Muneeba Rashid, Hina Shakir, Humaira Mehwish, Asarim Amir, Reema Qaiser Khan ยท 2026

Magnetic Resonance (MR) imaging is a diagnostic tool used in modern medicine; however, its output can be affected by motion artefacts and may be limited by equipment. This research focuses on MRI imagโ€ฆ

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Engineering Preprint PDF DOI

TSC: Topology-Conditioned Stackelberg Coordination for Multi-Agent Reinforcement Learning in Interactive Driving

Xiaotong Zhang, Gang Xiong, Yuanjing Wang, Siyu Teng, Alois Knoll, Long Chen ยท 2026

Safe and efficient autonomous driving in dense traffic is fundamentally a decentralized multi-agent coordination problem, where interactions at conflict points such as merging and weaving must be resoโ€ฆ

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Engineering Preprint PDF DOI

Hybrid Offline-Online Reinforcement Learning for Sensorless, High-Precision Force Regulation in Surgical Robotic Grasping

Edoardo Fazzari, Omar Mohamed, Khalfan Hableel, Hamdan Alhadhrami, Cesare Stefanini ยท 2026

Precise grasp force regulation in tendon-driven surgical instruments is fundamentally limited by nonlinear coupling between motor dynamics, transmission compliance, friction, and distal mechanics. Exiโ€ฆ

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Engineering Preprint PDF DOI

OmniXtreme: Breaking the Generality Barrier in High-Dynamic Humanoid Control

Yunshen Wang, Shaohang Zhu, Peiyuan Zhi, Yuhan Li, Jiaxin Li, Yong-Lu Li, Yuchen Xiao, Xingxing Wang, Baoxiong Jia, Siyuan Huang ยท 2026

High-fidelity motion tracking serves as the ultimate litmus test for generalizable, human-level motor skills. However, current policies often hit a "generality barrier": as motion libraries scale in dโ€ฆ

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Engineering Preprint PDF DOI

Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning

Tuan Truong, Melanie Dohmen, Sara Lorio, Matthias Lenga ยท 2026

Automated identification of DICOM image series is essential for large-scale medical image analysis, quality control, protocol harmonization, and reliable downstream processing. However, DICOM series cโ€ฆ

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Engineering Preprint PDF DOI

OmniTrack: General Motion Tracking via Physics-Consistent Reference

Yuhan Li, Peiyuan Zhi, Yunshen Wang, Tengyu Liu, Sixu Yan, Wenyu Liu, Xinggang Wang, Baoxiong Jia, Siyuan Huang ยท 2026

Learning motion tracking from rich human motion data is a foundational task for achieving general control in humanoid robots, enabling them to perform diverse behaviors. However, discrepancies in morpโ€ฆ

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Engineering Preprint PDF DOI

Unsupervised Causal Prototypical Networks for De-biased Interpretable Dermoscopy Diagnosis

Junhao Jia, Yueyi Wu, Huangwei Chen, Haodong Jing, Haishuai Wang, Jiajun Bu, Lei Wu ยท 2026

Despite the success of deep learning in dermoscopy image analysis, its inherent black-box nature hinders clinical trust, motivating the use of prototypical networks for case-based visual transparency.โ€ฆ

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Engineering Preprint PDF DOI

Physics-Embedded Neural ODEs for Learning Antagonistic Pneumatic Artificial Muscle Dynamics

Xinyao Wang, Jonathan Realmuto ยท 2026

Pneumatic artificial muscles (PAMs) enable compliant actuation for soft wearable, assistive, and interactive robots. When arranged antagonistically, PAMs can provide variable impedance through co-contโ€ฆ

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SpikingTac: A Miniaturized Neuromorphic Visuotactile Sensor for High-Precision Dynamic Tactile Imprint Tracking

Tianyu Jiang, Chaofan Zhang, Shaolin Zhang, Shaowei Cui, Shuo Wang ยท 2026

High-speed event-driven tactile sensors are essential for achieving human-like dynamic manipulation, yet their integration is often limited by the bulkiness of standard event cameras. This paper preseโ€ฆ

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Engineering Preprint PDF DOI

MicroPush: A Simulator and Benchmark for Contact-Rich Cell Pushing and Assembly with a Magnetic Rolling Microrobot

Yanda Yang, Sambeeta Das ยท 2026

Magnetic rolling microrobots enable gentle manipulation in confined microfluidic environments, yet autonomy for contact-rich behaviors such as cell pushing and multi-target assembly remains difficult โ€ฆ

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Hierarchical Multi-Scale Graph Learning with Knowledge-Guided Attention for Whole-Slide Image Survival Analysis

Bin Xu, Yufei Zhou, Boling Song, Jingwen Sun, Yang Bian, Cheng Lu, Ye Wu, Jianfei Tu, Xiangxue Wang ยท 2026

We propose a Hierarchical Multi-scale Knowledge-aware Graph Network (HMKGN) that models multi-scale interactions and spatially hierarchical relationships within whole-slide images (WSIs) for cancer prโ€ฆ

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Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models

Chi-Sheng Chen, Xinyu Zhang, Guan-Ying Chen, Qiuzhe Xie, Fan Zhang, En-Jui Kuo ยท 2026

Foundation models pretrained on large-scale 3D medical imaging data face challenges when adapted to multiple downstream tasks under continual learning with limited labeled data. We address few-shot coโ€ฆ

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Training with Hard Constraints: Learning Neural Certificates and Controllers for SDEs

Chun-Wei Kong, Sebastian Escobar, Ibon Gracia, Jay McMahon, Morteza Lahijanian ยท 2026

Due to their expressive power, neural networks (NNs) are promising templates for functional optimization problems, particularly for reach-avoid certificate generation for systems governed by stochastiโ€ฆ

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Embedding Morphology into Transformers for Cross-Robot Policy Learning

Kei Suzuki, Jing Liu, Ye Wang, Chiori Hori, Matthew Brand, Diego Romeres, Toshiaki Koike-Akino ยท 2026

Cross-robot policy learning -- training a single policy to perform well across multiple embodiments -- remains a central challenge in robot learning. Transformer-based policies, such as vision-languagโ€ฆ

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SegReg: Latent Space Regularization for Improved Medical Image Segmentation

Puru Vaish, Amin Ranem, Felix Meister, Tobias Heimann, Christoph Brune, Jelmer M. Wolterink ยท 2026

Medical image segmentation models are typically optimised with voxel-wise losses that constrain predictions only in the output space. This leaves latent feature representations largely unconstrained, โ€ฆ

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Engineering Preprint PDF DOI

Refining Almost-Safe Value Functions on the Fly

Sander Tonkens, Sosuke Kojima, Chenhao Liu, Judy Masri, Sylvia Herbert ยท 2026

Control Barrier Functions (CBFs) are a powerful tool for ensuring robotic safety, but designing or learning valid CBFs for complex systems is a significant challenge. While Hamilton-Jacobi Reachabilitโ€ฆ

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Engineering Preprint PDF DOI

Interface-Aware Trajectory Reconstruction of Limited Demonstrations for Robot Learning

Demiana R. Barsoum, Mahdieh Nejati Javaremi, Larisa Y.C. Loke, Brenna D. Argall ยท 2026

Assistive robots offer agency to humans with severe motor impairments. Often, these users control high-DoF robots through low-dimensional interfaces, such as using a 1-D sip-and-puff interface to operโ€ฆ

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Simple Models, Real Swimming: Digital Twins for Tendon-Driven Underwater Robots

Mike Y. Michelis, Nana Obayashi, Josie Hughes, Robert K. Katzschmann ยท 2026

Mimicking the graceful motion of swimming animals remains a core challenge in soft robotics due to the complexity of fluid-structure interaction and the difficulty of controlling soft, biomimetic bodiโ€ฆ

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SPARR: Simulation-based Policies with Asymmetric Real-world Residuals for Assembly

Yijie Guo, Iretiayo Akinola, Lars Johannsmeier, Hugo Hadfield, Abhishek Gupta, Yashraj Narang ยท 2026

Robotic assembly presents a long-standing challenge due to its requirement for precise, contact-rich manipulation. While simulation-based learning has enabled the development of robust assembly policiโ€ฆ

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Towards Intelligible Human-Robot Interaction: An Active Inference Approach to Occluded Pedestrian Scenarios

Kai Chen, Yuyao Huang, Guang Chen ยท 2026

The sudden appearance of occluded pedestrians presents a critical safety challenge in autonomous driving. Conventional rule-based or purely data-driven approaches struggle with the inherent high uncerโ€ฆ

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