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Showing 41527 results for "machine learning" in Engineering
Engineering Preprint PDF DOI

Integrated Identification of Collaborative Robots for Robot Assisted 3D Printing Processes

Alessandro Dimauro, Davide Tebaldi, Fabio Pini, Luigi Biagiotti, Francesco Leali ยท 2026

In recent years, the integration of additive manufacturing (AM) and industrial robotics has opened new perspectives for the production of complex components, particularly in the automotive sector. Robโ€ฆ

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Engineering Preprint PDF DOI

Posterior Optimization with Clipped Objective for Bridging Efficiency and Stability in Generative Policy Learning

Yuhui Chen, Haoran Li, Zhennan Jiang, Yuxing Qin, Yuxuan Wan, Weiheng Liu, Dongbin Zhao ยท 2026

Expressive generative models have advanced robotic manipulation by capturing complex, multi-modal action distributions over temporally extended trajectories. However, fine-tuning these policies via RLโ€ฆ

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Engineering Preprint PDF DOI

Neural Network-Assisted Model Predictive Control for Implicit Balancing

Seyed Soroush Karimi Madahi, Kenneth Bruninx, Bert Claessens, Chris Develder ยท 2026

In Europe, balance responsible parties can deliberately take out-of-balance positions to support transmission system operators (TSOs) in maintaining grid stability and earn profit, a practice called iโ€ฆ

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Engineering Preprint PDF DOI

1-bit Quantized Continuous Aperture Arrays

Kuranage Roche Rayan Ranasinghe, Getuar Rexhepi, Zhaolin Wang, Giuseppe Thadeu Freitas de Abreu ยท 2026

Continuous aperture arrays (CAPAs) have emerged as a promising physical-layer paradigm for sixth generation (6G) systems, offering spatial degrees of freedom beyond those of conventional discrete anteโ€ฆ

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Engineering Preprint PDF DOI

Preferential Bayesian Optimization with Crash Feedback

Johanna Menn, David Stenger, Sebastian Trimpe ยท 2026

Bayesian optimization is a popular black-box optimization method for parameter learning in control and robotics. It typically requires an objective function that reflects the user's optimization goal.โ€ฆ

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Engineering Preprint PDF DOI

Hi-LOAM: Hierarchical Implicit Neural Fields for LiDAR Odometry and Mapping

Zhiliu Yang, Jianyuan Zhang, Lianhui Zhao, Jinyu Dai, Zhu Yang ยท 2026

LiDAR Odometry and Mapping (LOAM) is a pivotal technique for embodied-AI applications such as autonomous driving and robot navigation. Most existing LOAM frameworks are either contingent on the supervโ€ฆ

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Engineering Preprint PDF DOI

OpenGo: An OpenClaw-Based Robotic Dog with Real-Time Skill Switching

Hanbing Li, Xuewei Cao, Zhiwen Zeng, Yuhan Wu, Yanyong Zhang, Yan Xia ยท 2026

Adaptation to complex tasks and multiple scenarios remains a significant challenge for a single robot agent. The ability to acquire organize, and switch between a wide range of skills in real time, paโ€ฆ

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Engineering Preprint PDF DOI

A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking

Robin Dehler, Martin Herrmann, Jan Strohbeck, Michael Buchholz ยท 2026

Associating measurements with tracks is a crucial step in Multi-Object Tracking (MOT) to guarantee the safety of autonomous vehicles. To manage the exponentially growing number of track hypotheses, trโ€ฆ

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Engineering Preprint PDF DOI

AURA: Multimodal Shared Autonomy for Real-World Urban Navigation

Yukai Ma, Honglin He, Selina Song, Wayne Wu, Bolei Zhou ยท 2026

Long-horizon navigation in complex urban environments relies heavily on continuous human operation, which leads to fatigue, reduced efficiency, and safety concerns. Shared autonomy, where a Vision-Lanโ€ฆ

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Engineering Preprint PDF DOI

Steady-state response assignment for a given disturbance and reference: Sylvester equation rather than regulator equations

Hyeonyeong Jang, Jin Gyu Lee ยท 2026

Conventionally, the concept of moment has been primarily employed in model order reduction to approximate system by matching the moment, which is merely the specific set of steady-state responses. In โ€ฆ

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Feedforward Density-Driven Optimal Control for Tracking Time-Varying Distributions with Guaranteed Stability

Julian Martinez, Kooktae Lee ยท 2026

This paper addresses the spatiotemporal mismatch in multi-agent distribution tracking within time-varying environments. While recent advancements in Density-Driven Optimal Control (D$^2$OC) have enablโ€ฆ

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Efficient Equivariant Transformer for Self-Driving Agent Modeling

Scott Xu, Dian Chen, Kelvin Wong, Chris Zhang, Kion Fallah, Raquel Urtasun ยท 2026

Accurately modeling agent behaviors is an important task in self-driving. It is also a task with many symmetries, such as equivariance to the order of agents and objects in the scene or equivariance tโ€ฆ

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Low-Burden LLM-Based Preference Learning: Personalizing Assistive Robots from Natural Language Feedback for Users with Paralysis

Keshav Shankar, Dan Ding, Wei Gao ยท 2026

Physically Assistive Robots (PARs) require personalized behaviors to ensure user safety and comfort. However, traditional preference learning methods, like exhaustive pairwise comparisons, cause severโ€ฆ

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Neural Robust Control on Lie Groups Using Contraction Methods (Extended Version)

Yi Lok Lo, Longhao Qian, Hugh H.T. Liu ยท 2026

In this paper, we propose a learning framework for synthesizing a robust controller for dynamical systems evolving on a Lie group. A robust control contraction metric (RCCM) and a neural feedback contโ€ฆ

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Learning When to See and When to Feel: Adaptive Vision-Torque Fusion for Contact-Aware Manipulation

Jiuzhou Lei, Chang Liu, Yu She, Xiao Liang, Minghui Zheng ยท 2026

Vision-based policies have achieved a good performance in robotic manipulation due to the accessibility and richness of visual observations. However, purely visual sensing becomes insufficient in contโ€ฆ

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Dissipativity Analysis of Nonlinear Systems: A Linear--Radial Kernel-based Approach

Xiuzhen Ye, Wentao Tang ยท 2026

Estimating the dissipativity of nonlinear systems from empirical data is useful for the analysis and control of nonlinear systems, especially when an accurate model is unavailable. Based on a Koopman โ€ฆ

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Bias Inheritance in Neural-Symbolic Discovery of Constitutive Closures Under Function-Class Mismatch

Hanbing Liang, Ze Tao, Fujun Liu ยท 2026

We investigate the data-driven discovery of constitutive closures in nonlinear reaction-diffusion systems with known governing PDE structures. Our objective is to robustly recover diffusion and reactiโ€ฆ

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Macroscopic transport patterns of UAV traffic in 3D anisotropic wind fields: A constraint-preserving hybrid PINN-FVM approach

Hanbing Liang, Fujun Liu ยท 2026

Macroscopic unmanned aerial vehicle (UAV) traffic organization in three-dimensional airspace faces significant challenges from static wind fields and complex obstacles. A critical difficulty lies in sโ€ฆ

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Functional Force-Aware Retargeting from Virtual Human Demos to Soft Robot Policies

Uksang Yoo, Mengjia Zhu, Evan Pezent, Jom Preechayasomboon, Jean Oh, Jeffrey Ichnowski, Amir Memar, Ben Abbatematteo, Homanga Bharadhwaj, Ashish Deshpande, Harsha Prahlad ยท 2026

We introduce SoftAct, a framework for teaching soft robot hands to perform human-like manipulation skills by explicitly reasoning about contact forces. Leveraging immersive virtual reality, our systemโ€ฆ

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Engineering Preprint PDF DOI

Collaborative Task and Path Planning for Heterogeneous Robotic Teams using Multi-Agent PPO

Matthias Rubio, Julia Richter, Hendrik Kolvenbach, Marco Hutter ยท 2026

Efficient robotic extraterrestrial exploration requires robots with diverse capabilities, ranging from scientific measurement tools to advanced locomotion. A robotic team enables the distribution of tโ€ฆ

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