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

NaviFormer: A Deep Reinforcement Learning Transformer-like Model to Holistically Solve the Navigation Problem

Daniel Fuertes, Andrea Cavallaro, Carlos R. del-Blanco, Fernando Jaureguizar, Narciso Garcia ยท 2026

Path planning is usually solved by addressing either the (high-level) route planning problem (waypoint sequencing to achieve the final goal) or the (low-level) path planning problem (trajectory predicโ€ฆ

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Engineering Preprint PDF DOI

Multi-stage Planning for Multi-target Surveillance using Aircrafts Equipped with Synthetic Aperture Radars Aware of Target Visibility

Daniel Fuertes, Carlos R. del-Blanco, Fernando Jaureguizar, Juan Jose Navarro-Corcuera, Narciso Garcia ยท 2026

Generating trajectories for synthetic aperture radar (SAR)-equipped aircraft poses significant challenges due to terrain constraints, and the need for straight-flight segments to ensure high-quality iโ€ฆ

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Engineering Preprint PDF DOI

End-to-End ILC for Repetitive Untrackable Tasks: A Cooperative Game Perspective

Zhihe Zhuang, Rodrigo A. Gonzalez, Hongfeng Tao, Wojciech Paszke, Tom Oomen ยท 2026

An inherent assumption of perfect tracking in iterative learning control (ILC) is that there exists an ILC input such that the generated output can track the desired trajectory reference. This assumptโ€ฆ

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Engineering Preprint PDF DOI

Chain Of Interaction Benchmark (COIN): When Reasoning meets Embodied Interaction

Xianhao Wang, Xiaojian Ma, Haozhe Hu, Rongpeng Su, Yutian Cheng, Zhou Ziheng, Hangxin Liu, Lei Liu, Bin Li, Qing Li ยท 2026

Generalist embodied agents must perform interactive, causally-dependent reasoning, continually interacting with the environment, acquiring information, and updating plans to solve long-horizon tasks bโ€ฆ

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Engineering Preprint PDF DOI

Refinement of Accelerated Demonstrations via Incremental Iterative Reference Learning Control for Fast Contact-Rich Imitation Learning

Koki Yamane, Cristian C. Beltran-Hernandez, Steven Oh, Masashi Hamaya, Sho Sakaino ยท 2026

Fast execution of contact-rich manipulation is critical for practical deployment, yet providing fast demonstrations for imitation learning (IL) remains challenging: humans cannot demonstrate at high sโ€ฆ

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Engineering Preprint PDF DOI

Watching Physics: the Generative Science of Matter and Motion

Hagen Holthusen, Kevin Linka, Ellen Kuhl ยท 2026

Can we learn the physics of matter in motion directly from images and video--and trust it? Answering this question requires integrating experiments, physics-based simulation, and data across traditionโ€ฆ

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Engineering Preprint PDF DOI

Online Reinforcement Learning for Safe Gain Scheduling in Nonlinear Quadrotor Control

Muhammad Junayed Hasan Zahed, Chieh Tsai, Salim Hariri, Hossein Rastgoftar ยท 2026

This paper presents an online reinforcement-learning framework for safe gain scheduling of a nonlinear quadcopter controller. Rather than learning thrust and torque commands directly, the proposed metโ€ฆ

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Engineering Preprint PDF DOI

Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking

Mengyuan Ma, Isuri Welgamage, Ahmed Alkhateeb, A. Lee Swindlehurst, Markku Juntti, Nhan Thanh Nguyen ยท 2026

Beam training and prediction in real-world millimeter-wave (mmWave) communications systems are challenging due to rapidly time-varying channels and strong interference from surrounding objects. In thiโ€ฆ

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Engineering Preprint PDF DOI

Synchronization-Safe Dynamic Microgrid Formation for DER-Led Distribution System Restoration With Constraint-Aware Graph Learning

Cong Bai, Salish Maharjan, Yunyi Li, Wenlong Shi, Zhaoyu Wang ยท 2026

Prolonged blackouts in distribution systems (DSs) with high penetration of distributed energy resources (DERs) necessitate novel restoration strategies to rapidly restore loads. However, the resultingโ€ฆ

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Engineering Preprint PDF DOI

Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning

Shathushan Sivashangaran, Vihaan Dutta, Apoorva Khairnar, Sepideh Gohari, Azim Eskandarian ยท 2026

Road traffic accidents are a leading cause of fatalities worldwide. In the US, human error causes 94% of crashes, resulting in excess of 7,000 pedestrian fatalities and $500 billion in costs annually.โ€ฆ

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Engineering Preprint PDF DOI

Rewind-IL: Online Failure Detection and State Respawning for Imitation Learning

Gehan Zheng, Sanjay Seenivasan, Matthew Johnson-Roberson, Weiming Zhi ยท 2026

Imitation learning has enabled robots to acquire complex visuomotor manipulation skills from demonstrations, but deployment failures remain a major obstacle, especially for long-horizon action-chunkedโ€ฆ

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Engineering Preprint PDF DOI

CVaR-Guided Decision-Focused Learning and Risk-Triggered Re-Optimization for Two-Stage Robust Microgrid Operation

Tingwei Cao, Yan Xu ยท 2026

Microgrid operation is highly vulnerable to short-term load uncertainty, while conventional predict-then-optimize pipelines cannot fully align probabilistic forecasting quality with downstream robust โ€ฆ

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Engineering Preprint PDF DOI

Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility

Colin Juni, Mina Montazeri, Yi Guo, Federica Bellizio, Giovanni Sansavini, Philipp Heer ยท 2026

Buildings account for approximately 40% of global energy consumption, and with the growing share of intermittent renewable energy sources, enabling demand-side flexibility, particularly in heating, veโ€ฆ

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Engineering Preprint PDF DOI

A Reconfigurable Pneumatic Joint Enabling Localized Selective Stiffening and Shape Locking in Vine-Inspired Robots

Ayodele James Oyejide, Ustaz A. Yaqub, Samir Erturk, Eray A. Baran, Fabio Stroppa ยท 2026

Vine-inspired robots achieve large workspace coverage through tip eversion, enabling safe navigation in confined and cluttered environments. However, their deployment in free space is fundamentally liโ€ฆ

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Engineering Preprint PDF DOI

Limits of Lamarckian Evolution Under Pressure of Morphological Novelty

Jed R Muff, Karine Miras, A.E. Eiben ยท 2026

Lamarckian inheritance has been shown to be a powerful accelerator in systems where the joint evolution of robot morphologies and controllers is enhanced with individual learning. Its defining advantaโ€ฆ

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Engineering Preprint PDF DOI

From Seeing to Simulating: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation

Jasper Lu, Zhenhao Shen, Yuanfei Wang, Shugao Liu, Shengqiang Xu, Shawn Xie, Jingkai Xu, Feng Jiang, Jade Yang, Chen Xie, Ruihai Wu ยท 2026

Learning robust robot policies in real-world environments requires diverse data augmentation, yet scaling real-world data collection is costly due to the need for acquiring physical assets and reconfiโ€ฆ

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Engineering Preprint PDF DOI

Fuzzy Logic Theory-based Adaptive Reward Shaping for Robust Reinforcement Learning (FARS)

Hurkan Sahin, Van Huyen Dang, Erdi Sayar, Alper Yegenoglu, Erdal Kayacan ยท 2026

Reinforcement learning (RL) often struggles in real-world tasks with high-dimensional state spaces and long horizons, where sparse or fixed rewards severely slow down exploration and cause agents to gโ€ฆ

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Engineering Preprint PDF DOI

Integrating AI and Simulation for Teaching Power System Dynamics: An Interactive Framework for Engineering Education

Osasumwen Cedric Ogiesoba-Eguakun, Phani Kumar Inkollu, Rupesh Sah, Zia Rashid, Douglas Jussaume, Suman Rath ยท 2026

Artificial Intelligence (AI), especially cloud platforms and large language models (LLMs), is changing how engineering is taught by making learning more interactive and flexible. However, in electricaโ€ฆ

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Engineering Preprint PDF DOI

Discovery of unobservable parameters via physical embedding

Le Cheng, Xiaoran Liu, Lingjin Kong, Haitao Zhao, Jun Xiong, Fanglin Gu, Xiaoying Zhang, Baoquan Ren, Jibo Wei, Hao Yin ยท 2026

Recovering a source signal from indirect measurements often requires estimating latent parameters, such as wireless channel states or MRI coil sensitivities, that cannot be directly observed. Here, weโ€ฆ

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Engineering Preprint PDF DOI

Safe and Energy-Aware Multi-Robot Density Control via PDE-Constrained Optimization for Long-Duration Autonomy

Longchen Niu, Andrew Nasif, Gennaro Notomista ยท 2026

This paper presents a novel density control framework for multi-robot systems with spatial safety and energy sustainability guarantees. Stochastic robot motion is encoded through the Fokker-Planck Parโ€ฆ

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