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🔍 mario marchand 📂 Engineering
Showing 77 results for "mario marchand" in Engineering
Engineering Preprint PDF DOI

Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots

Yifei Yan, Linqi Ye · 2026

As reinforcement learning for humanoid robots evolves from single-task to multi-skill paradigms, efficiently expanding new skills while avoiding catastrophic forgetting has become a key challenge in e…

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Engineering Preprint PDF DOI

DRIVE-Nav: Directional Reasoning, Inspection, and Verification for Efficient Open-Vocabulary Navigation

Maoguo Gao, Zejun Zhu, Zhiming Sun, Zhengwei Ma, Longze Yuan, Zhongjing Ma, Zhigang Gao, Jinhui Zhang, Suli Zou · 2026

Open-Vocabulary Object Navigation (OVON) requires an embodied agent to locate a language-specified target in unknown environments. Existing zero-shot methods often reason over dense frontier points un…

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Engineering Preprint PDF DOI

Fast Volume Alignment by Frequency-Marched Newton

Fabian Kruse, Valentin Debarnot, Vinith Kishore, Ivan Dokmanic · 2026

We develop a fast and accurate method for 3D alignment, recovering the rotation and translation that best align a reference volume with a noisy observation. Classical matched filtering evaluates cross…

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Engineering Preprint PDF DOI

How IMU Drift Influences Multi-Radar Inertial Odometry for Ground Robots in Subterranean Terrains

Moumita Mukherjee, Magnus Noren, Anton Koval, Avijit Banerjee, George Nikolakopoulos · 2026

Reliable radar inertial odometry (RIO) requires mitigating IMU bias drift, a challenge that intensifies in subterranean environments due to extreme temperatures and gravity-induced accelerations. Cost…

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Engineering Preprint PDF DOI

Role-Adaptive Collaborative Formation Planning for Team of Quadruped Robots in Cluttered Environments

Magnus Noren, Marios-Nektarios Stamatopoulos, Avijit Banerjee, George Nikolakopoulos · 2026

This paper presents a role-adaptive Leader-Follower-based formation planning and control framework for teams of quadruped robots operating in cluttered environments. Unlike conventional methods with f…

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Engineering Preprint PDF DOI

MARVO: Marine-Adaptive Radiance-aware Visual Odometry

Sacchin Sundar, Atman Kikani, Aaliya Alam, Sumukh Shrote, A. Nayeemulla Khan, A. Shahina · 2025

Underwater visual localization remains challenging due to wavelength-dependent attenuation, poor texture, and non-Gaussian sensor noise. We introduce MARVO, a physics-aware, learning-integrated odomet…

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Engineering Preprint PDF DOI

A Stable, Accurate and Well-Conditioned Time-Domain PMCHWT Formulation

Van Chien Le, Cedric Munger, Francesco P. Andriulli, Kristof Cools · 2025

This paper introduces a new boundary element formulation for transient electromagnetic scattering by homogeneous dielectric objects based on the time-domain PMCHWT equation. To address dense-mesh brea…

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Engineering Preprint PDF DOI

An Energy-Efficient Edge Coprocessor for Neural Rendering with Explicit Data Reuse Strategies

Binzhe Yuan, Xiangyu Zhang, Zeyu Zheng, Yuefeng Zhang, Haochuan Wan, Zhechen Yuan, Junsheng Chen, Yunxiang He, Junran Ding, Xiaoming Zhang, Chaolin Rao, Wenyan Su, Pingqiang Zhou, Jingyi Yu, Xin Lou · 2025

Neural radiance fields (NeRF) have transformed 3D reconstruction and rendering, facilitating photorealistic image synthesis from sparse viewpoints. This work introduces an explicit data reuse neural r…

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Engineering Preprint PDF DOI

FMT$^{x}$: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning

Soheil Espahbodini Nia · 2025

Path planning in dynamic environments remains a core challenge in robotics, especially as autonomous systems are deployed in unpredictable spaces such as warehouses and public roads. While algorithms …

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Engineering Preprint PDF DOI

Gait Analysis using 6DoF Magnetic Tracking

R. Abhishek Shankar, Hyungjun Ha, Byunghoo Jung · 2025

Gait analysis using wearable devices has advantages over non-wearable devices when it comes to portability and accessibility. However, non-wearable devices have consistently shown superior performance…

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Engineering Preprint PDF DOI

No More Marching: Learning Humanoid Locomotion for Short-Range SE(2) Targets

Pranay Dugar, Mohitvishnu S. Gadde, Jonah Siekmann, Yesh Godse, Aayam Shrestha, Alan Fern · 2025

Humanoids operating in real-world workspaces must frequently execute task-driven, short-range movements to SE(2) target poses. To be practical, these transitions must be fast, robust, and energy effic…

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Engineering Preprint PDF DOI

Generation Expansion Planning with Upstream Supply Chain Constraints on Materials, Manufacturing, and Deployment

Boyu Yao, Andrey Bernstein, Yury Dvorkin · 2025

Rising electricity demand underscores the need for secure and reliable generation expansion planning that accounts for upstream supply chain constraints. Traditional models often overlook limitations …

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Engineering Preprint PDF DOI

Development and Real-World Application of Commercial Motor Vehicle Safety Enforcement Dashboards

Dhairya Parekh, Mark L. Franz Ph.D, Sara Zahedian Ph.D, Narjes Shayesteh · 2025

Commercial Motor Vehicle (CMV) safety is crucial in traffic management and public safety. CMVs account for numerous traffic incidents, so monitoring CMV safety and safety inspections is essential for …

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Engineering Preprint PDF DOI

Real-Time Fast Marching Tree for Mobile Robot Motion Planning in Dynamic Environments

Jefferson Silveira, Kleber Cabral, Sidney Givigi, Joshua A. Marshall · 2025

This paper proposes the Real-Time Fast Marching Tree (RT-FMT), a real-time planning algorithm that features local and global path generation, multiple-query planning, and dynamic obstacle avoidance. D…

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Engineering Preprint PDF DOI

On the efficiency of explicit and semi-explicit immersed boundary finite element methods for wave propagation problems

Tim Burchner, Lars Radtke, Philipp Kopp, Stefan Kollmannsberger, Ernst Rank, Alexander Duster · 2025

Immersed boundary methods have attracted substantial interest in the last decades due to their potential for computations involving complex geometries. Often these cannot be efficiently discretized us…

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Engineering Preprint PDF DOI

Automatic detection and prediction of nAMD activity change in retinal OCT using Siamese networks and Wasserstein Distance for ordinality

Taha Emre, Teresa Araujo, Marzieh Oghbaie, Dmitrii Lachinov, Guilherme Aresta, Hrvoje Bogunovic · 2025

Neovascular age-related macular degeneration (nAMD) is a leading cause of vision loss among older adults, where disease activity detection and progression prediction are critical for nAMD management i…

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Engineering Preprint PDF DOI

World of Forms: Deformable Geometric Templates for One-Shot Surface Meshing in Coronary CT Angiography

Rudolf L.M. van Herten, Ioannis Lagogiannis, Jelmer M. Wolterink, Steffen Bruns, Eva R. Meulendijks, Damini Dey, Joris R. de Groot, Jose P. Henriques, R. Nils Planken, Simone Saitta, Ivana Isgum · 2024

Deep learning-based medical image segmentation and surface mesh generation typically involve a sequential pipeline from image to segmentation to meshes, often requiring large training datasets while m…

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Engineering Preprint PDF DOI

Exact Wavefront Propagation for Globally Optimal One-to-All Path Planning on 2D Cartesian Grids

Ibrahim Ibrahim, Joris Gillis, Wilm Decre, Jan Swevers · 2024

This paper introduces an efficient $\mathcal{O}(n)$ compute and memory complexity algorithm for globally optimal path planning on 2D Cartesian grids. Unlike existing marching methods that rely on appr…

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Engineering Preprint PDF DOI

All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents

Zhiqiang Wang, Hao Zheng, Yunshuang Nie, Wenjun Xu, Qingwei Wang, Hua Ye, Zhe Li, Kaidong Zhang, Xuewen Cheng, Wanxi Dong, Chang Cai, Liang Lin, Feng Zheng, Xiaodan Liang · 2024

Embodied AI is transforming how AI systems interact with the physical world, yet existing datasets are inadequate for developing versatile, general-purpose agents. These limitations include a lack of …

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Engineering Preprint PDF DOI

Exploring Commercial Vehicle Detouring Patterns through the Application of Probe Trajectory Data

Mark Franz PhD, Sara Zahedian PhD, Dhairya Parekh, Tahsin Emtenam PhD, Greg Jordan · 2024

Understanding motorist detouring behavior is critical for both traffic operations and planning applications. However, measuring real-world detouring behavior is challenging due to the need to track th…

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