Expertini Research Research

Browse Research Papers

15,128+ open-access research outputs.

✕ Clear
🔍 timothy j. callow 📂 Engineering
Showing 15128 results for "timothy j. callow" in Engineering
Engineering Preprint PDF DOI

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models

Hao Chen, Jiaming Liu, Zhonghao Yan, Nuowei Han, Renrui Zhang, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng · 2026

Vision-Language-Action (VLA) models have increasingly incorporated reasoning mechanisms for complex robotic manipulation. However, existing approaches share a critical limitation: whether employing ex…

Read Paper →
Engineering Preprint PDF DOI

Framework for Collaborative Operation of Autonomous Delivery Vehicles Within a Marshaling Yard

James O'Hara, Karl Wunderlich, Gregory Stevens · 2026

As autonomous vehicles slowly deploy into urban roads for limited use cases with significant edge case issues, closed facilities like marshaling yards provide a ripe case for combining lower-level veh…

Read Paper →
Engineering Preprint PDF DOI

LiDAR-based Dynamic Blockage Prediction: A Data-driven Approach for Learning Interactive Bayesian Models

Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni · 2026

Vehicular sensing-based intelligence has made substantial progress in transportation systems, leading to higher levels of safety and sustainability for smart cities and autonomous systems. This paper …

Read Paper →
Engineering Preprint PDF DOI

DOT-Sim: Differentiable Optical Tactile Simulation with Precise Real-to-Sim Physical Calibration

Yang You, Won Kyung Do, Aiden Swann, Rika Antonova, Monroe Kennedy, Leonidas Guibas · 2026

Simulating optical tactile sensors presents significant challenges due to their high deformability and intricate optical properties. To address these issues and enable a physically accurate simulation…

Read Paper →
Engineering Preprint PDF DOI

Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity

Erik Faust, Lisa Scheunemann · 2026

In this article, we propose a simple and efficient hyperreduced strain-space model order reduction (MOR) approach for hyperelastic representative volume elements (RVEs), called Empirical Material Samp…

Read Paper →
Engineering Preprint PDF DOI

Spectral Boundary Observer for Counter-Flow Heat Exchangers

Mohamed Camil Belhadjoudja, Mohamed Maghenem, Emmanuel Witrant · 2026

We consider a system of two coupled first-order linear hyperbolic partial differential equations modeling heat transport in a counter-flow heat exchanger: one equation describes the transport of a hot…

Read Paper →
Engineering Preprint PDF DOI

Model-Free Dynamic Mode Adaptive Control for Data-Driven Control Synthesis

Parham Oveissi, Ankit Goel · 2026

This paper presents a model-free, data-driven control synthesis method called dynamic mode adaptive control (DMAC) for systems whose mathematical models are unavailable or unsuitable for classical con…

Read Paper →
Engineering Preprint PDF DOI

Alter-Art: Exploring Embodied Artistic Creation through a Robot Avatar

Do Won Park, Samuele Bordini, Giorgio Grioli, Manuel G. Catalano, Antonio Bicchi · 2026

As with every emerging technology, new tools in the hands of artists reshape the nature of artwork creation. Current frameworks for robotics in arts deploy the robot as an autonomous creator or a coll…

Read Paper →
Engineering Preprint PDF DOI

Reactive Motion Generation via Phase-varying Neural Potential Functions

Ahmet Tekden, Dimitrios Kanoulas, Aude Billard, Yasemin Bekiroglu · 2026

Dynamical systems (DS) methods for Learning-from-Demonstration (LfD) provide stable, continuous policies from few demonstrations. First-order dynamical systems (DS) are effective for many point-to-poi…

Read Paper →
Engineering Preprint PDF DOI

Robot Planning and Situation Handling with Active Perception

Austine Oloo, Zainab Altaweel, Yohei Hayamizu, Peiqi Liu, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Chris Paxton, Xiaohan Zhang, Shiqi Zhang · 2026

Current robots are capable of computing plans to accomplish complex tasks. However, real-world environments are inherently open and dynamic, and unforeseen situations frequently arise during plan exec…

Read Paper →
Engineering Preprint PDF DOI

Unfitted Multi-Level hp Refinement for Localized and Moving Solution Features

Jan Niklas Schmake, Martin Ruess · 2026

Localized features such as singularities, sharp gradients, discontinuities, and moving sources require adaptive finite element discretizations. Conventional refinement strategies introduce significant…

Read Paper →
Engineering Preprint PDF DOI

The role of physical models in the validation and calibration of numerical models -- The example of the Lilleb{\ae}lt Bridge

Paula Apollonia Wunderlich, Gledson Rodrigo Tondo, Guido Morgenthal · 2026

With the rapid advancement of computer technologies enabling fast calculations of complex structures, numerical methods have become a central tool in engineering sciences, while physical models have i…

Read Paper →
Engineering Preprint PDF DOI

Polarization-diverse Detection at Microwave Frequencies Using A Passive Metasurface Aperture

Md. Abrar A Mushfik, Mohammad Ali Kaisar, Mohiminul Islam Bhuiyan Sahed, Idban Alamzadeh · 2026

Metasurfaces' ability to control electromagnetic wave propagation has led to a rapid paradigm shift in wireless operation. These metasurfaces are often called reconfigurable intelligent surfaces (RISs…

Read Paper →
Engineering Preprint PDF DOI

ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution

Chuyao Fu, Shengzhe Gan, Zhuoli Ouyang, Yuhan Rui, Xiaowei Chi, Sirui Han, Jiankun Wang, Hong Zhang · 2026

End-to-end autonomous driving planners typically generate trajectories from current observations alone. However, real-world driving is highly dynamic, and such reactive planning cannot anticipate futu…

Read Paper →
Engineering Preprint PDF DOI

Wave Tank Experiment for Sea State Monitoring with Distributed Acoustic Sensing

Yoshiyuki Yajima, Sakiko Mishima, Noriyuki Tonami, Tomoyuki Hino, Shugo Aibe, Junichiro Saikawa, Koji Mizuguchi · 2026

Monitoring sea states across the offshore wind farm areas is essential to keep their structures safe, efficiently operate the systems, and assess the environmental effects of wind turbines. Convention…

Read Paper →
Engineering Preprint PDF DOI

Data-Driven Privacy-Preserving Modeling and Frequency Regulation with Aggregated Electric Vehicles via Bilinear Hidden Markov Model

Yiping Liu, Xiaozhe Wang, Geza Joos · 2026

Vehicle-to-Grid (V2G) technology allows bidirectional power flow for real-time grid support, making electric vehicles (EVs) well-suited for ancillary services such as frequency regulation. However, ex…

Read Paper →
Engineering Preprint PDF DOI

Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation

Yifan Xie, YuAn Wang, Guangyu Chen, Jinkun Liu, Yu Sun, Wenbo Ding · 2026

Human videos contain rich manipulation priors, but using them for robot learning remains difficult because raw observations entangle scene understanding, human motion, and embodiment-specific action. …

Read Paper →
Engineering Preprint PDF DOI

SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors

Wadhah Zai El Amri, Nicolas Navarro-Guerrero · 2026

Training machine learning models for robotic tactile sensing requires vast amounts of data, yet obtaining realistic interaction data remains a challenge due to physical complexity and variability. Sim…

Read Paper →
Engineering Preprint PDF DOI

FreqCache: Accelerating Embodied VLN Models with Adaptive Frequency-Guided Token Caching

Zihao Zheng, Xingyue Zhou, Zhihao Mao, Songyu Sun, Lingyue Zhang, Yulong Ao, Yupu Feng, Qiongqiong Zhang, Yonghua Lin, Xiang Chen · 2026

Vision-Language-Navigation (VLN) models exhibit excellent navigation accuracy but incur high computational overhead. Token caching has emerged as a promising training-free strategy to reduce this cost…

Read Paper →
Engineering Preprint PDF DOI

Graph Neural Ordinary Differential Equations for Power System Identification

Hannes M.H. Wolf, Christian A. Hans · 2026

With the shift towards decentralized energy generation, the increasing complexity of power systems renders physics-based modeling challenging. At the same time the growing amount of available measurem…

Read Paper →
Page 1 of 757 Next →