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Showing 88 results for "david stern" in Engineering · Preprint
Engineering Preprint PDF DOI

Deep Learning-Enabled Dissolved Oxygen Sensing in Biofouling Environments for Ocean Monitoring

Nikolaos Salaris, Adrien Desjardins, Manish K. Tiwari · 2026

The escalating climate crisis and ecosystem degradation demand intelligent, low-cost sensors capable of robust, long-term monitoring in real-world environments. Absolute dissolved oxygen (DO) concentr…

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Engineering Preprint PDF DOI

Sampling-Based Safety Filter with Probabilistic Restrictiveness Guarantee

Junyoung Park, Hyeontae Sung, Heejin Ahn · 2026

Ensuring safety is a critical requirement for autonomous systems, yet providing formal guarantees for nominal controllers remains a significant challenge. In this paper, we propose a modular sampling-…

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Engineering Preprint PDF DOI

Symmetry Is Almost All You Need: Robust Stability with Uncertainty Induced by Symmetric SRG Regions

Ding Zhang, Di Zhao, Philipp Braun, Jianqi Chen · 2026

This paper investigates the robust stability problem of a feedback system in the presence of uncertainties induced by graphical regions in the plane where the scaled relative graphs (SRGs) reside. Our…

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Engineering Preprint PDF DOI

Stein Variational Uncertainty-Adaptive Model Predictive Control

Hrishikesh Sathyanarayan, Ian Abraham · 2026

We propose a Stein variational distributionally robust controller for nonlinear dynamical systems with latent parametric uncertainty. The method is an alternative to conservative worst-case ambiguity-…

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Engineering Preprint PDF DOI

PinPoint: Monocular Needle Pose Estimation for Robotic Suturing via Stein Variational Newton and Geometric Residuals

Jesse F. d'Almeida, Tanner Watts, Susheela Sharma Stern, James Ferguson, Alan Kuntz, Robert J. Webster III · 2026

Reliable estimation of surgical needle 3D position and orientation is essential for autonomous robotic suturing, yet existing methods operate almost exclusively under stereoscopic vision. In monocular…

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Engineering Preprint PDF DOI

Rao-Blackwellized Stein Gradient Descent for Joint State-Parameter Estimation

Milad Banitalebi Dehkordi, Manas Mejari, Dario Piga · 2026

We present a filtering framework for online joint state estimation and parameter identification in nonlinear, time-varying systems. The algorithm uses Rao-Blackwellization technique to infer joint sta…

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Engineering Preprint PDF DOI

NavTrust: Benchmarking Trustworthiness for Embodied Navigation

Huaide Jiang, Yash Chaudhary, Yuping Wang, Zehao Wang, Raghav Sharma, Manan Mehta, Yang Zhou, Lichao Sun, Zhiwen Fan, Zhengzhong Tu, Jiachen Li · 2026

There are two major categories of embodied navigation: Vision-Language Navigation (VLN), where agents navigate by following natural language instructions; and Object-Goal Navigation (OGN), where agent…

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Engineering Preprint PDF DOI

Stein Variational Ergodic Surface Coverage with SE(3) Constraints

Jiayun Li, Yufeng Jin, Sangli Teng, Dejian Gong, Georgia Chalvatzaki · 2026

Surface manipulation tasks require robots to generate trajectories that comprehensively cover complex 3D surfaces while maintaining precise end-effector poses. Existing ergodic trajectory optimization…

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Engineering Preprint PDF DOI

Unified Learning of Temporal Task Structure and Action Timing for Bimanual Robot Manipulation

Christian Dreher, Patrick Dormanns, Andre Meixner, Tamim Asfour · 2026

Temporal task structure is fundamental for bimanual manipulation: a robot must not only know that one action precedes or overlaps another, but also when each action should occur and how long it should…

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Engineering Preprint PDF DOI

STL-SVPIO: Signal Temporal Logic guided Stein Variational Path Integral Optimization

Hongrui Zheng, Zirui Zang, Ahmad Amine, Cristian Ioan Vasile, Rahul Mangharam · 2026

Signal Temporal Logic (STL) enables formal specification of complex spatiotemporal constraints for robotic task planning. However, synthesizing long-horizon continuous control trajectories from comple…

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Engineering Preprint PDF DOI

SaferPath: Hierarchical Visual Navigation with Learned Guidance and Safety-Constrained Control

Lingjie Zhang, Zeyu Jiang, Changhao Chen · 2026

Visual navigation is a core capability for mobile robots, yet end-to-end learning-based methods often struggle with generalization and safety in unseen, cluttered, or narrow environments. These limita…

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Engineering Preprint PDF DOI

U-DAVI: Uncertainty-Aware Diffusion-Prior-Based Amortized Variational Inference for Image Reconstruction

Ayush Varshney, Katherine L. Bouman, Berthy T. Feng · 2026

Ill-posed imaging inverse problems remain challenging due to the ambiguity in mapping degraded observations to clean images. Diffusion-based generative priors have recently shown promise, but typicall…

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Engineering Preprint PDF DOI

Sounding Highlights: Dual-Pathway Audio Encoders for Audio-Visual Video Highlight Detection

Seohyun Joo, Yoori Oh · 2026

Audio-visual video highlight detection aims to automatically identify the most salient moments in videos by leveraging both visual and auditory cues. However, existing models often underutilize the au…

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Engineering Preprint PDF DOI

Synthetic Singers: A Review of Deep-Learning-based Singing Voice Synthesis Approaches

Changhao Pan, Dongyu Yao, Yu Zhang, Wenxiang Guo, Jingyu Lu, Zhiyuan Zhu, Zhou Zhao · 2026

Recent advances in singing voice synthesis (SVS) have attracted substantial attention from both academia and industry. With the advent of large language models and novel generative paradigms, producin…

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Engineering Preprint PDF DOI

Distributed Hypothesis Testing Under A Covertness Constraint

Ismaila Salihou Adamou, Michele Wigger · 2026

We study distributed hypothesis testing under a covertness constraint in the non-alert situation, which requires that under the null-hypothesis an external warden be unable to detect whether communica…

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Engineering Preprint PDF DOI

Parameter-Robust MPPI for Safe Online Learning of Unknown Parameters

Matti Vahs, Jaeyoun Choi, Niklas Schmid, Jana Tumova, Chuchu Fan · 2026

Robots deployed in dynamic environments must remain safe even when key physical parameters are uncertain or change over time. We propose Parameter-Robust Model Predictive Path Integral (PRMPPI) contro…

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Engineering Preprint PDF DOI

ProbeMDE: Uncertainty-Guided Active Proprioception for Monocular Depth Estimation in Surgical Robotics

Britton Jordan, Jordan Thompson, Jesse F. d'Almeida, Hao Li, Nithesh Kumar, Susheela Sharma Stern, James Ferguson, Ipek Oguz, Robert J. Webster III, Daniel Brown, Alan Kuntz · 2025

Monocular depth estimation (MDE) provides a useful tool for robotic perception, but its predictions are often uncertain and inaccurate in challenging environments such as surgical scenes where texture…

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Engineering Preprint PDF DOI

Provably Safe Stein Variational Clarity-Aware Informative Planning

Kaleb Ben Naveed, Utkrisht Sahai, Anouck Girard, Dimitra Panagou · 2025

Autonomous robots are increasingly deployed for information-gathering tasks in environments that vary across space and time. Planning informative and safe trajectories in such settings is challenging …

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Engineering Preprint PDF DOI

Stein-based Optimization of Sampling Distributions in Model Predictive Path Integral Control

Jace Aldrich, Odest Chadwicke Jenkins · 2025

This paper introduces a method for Model Predictive Path Integral (MPPI) control that optimizes sample generation towards an optimal trajectory through Stein Variational Gradient Descent (SVGD). MPPI …

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Engineering Preprint PDF DOI

SVN-ICP: Uncertainty Estimation of ICP-based LiDAR Odometry using Stein Variational Newton

Shiping Ma, Haoming Zhang, Marc Toussaint · 2025

This letter introduces SVN-ICP, a novel Iterative Closest Point (ICP) algorithm with uncertainty estimation that leverages Stein Variational Newton (SVN) on manifold. Designed specifically for fusing …

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