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๐Ÿ” or hirschorn ๐Ÿ“‚ Engineering
Showing 30845 results for "or hirschorn" in Engineering
Engineering Preprint PDF DOI

OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction

Junyoung Lee, Sookwan Han, Jeonghwan Kim, Inhee Lee, Mingi Choi, Jisoo Kim, Wonjung Woo, Hanbyul Joo ยท 2026

Human-robot collaboration has been studied primarily in dyadic or sequential settings. However, real homes require multiadic collaboration, where multiple humans and robots share a workspace, acting cโ€ฆ

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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 ยท 2026

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

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Engineering Preprint PDF DOI

Sequential Inference for Gaussian Processes: A Signal Processing Perspective

Daniel Waxman, Fernando Llorente, Petar M. Djuric ยท 2026

The proliferation of capable and efficient machine learning (ML) models marks one of the strongest methodological shifts in signal processing (SP) in its nearly 100-year history. ML models support theโ€ฆ

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Engineering Preprint PDF DOI

Design and Characteristics of a Thin-Film ThermoMesh for the Efficient Embedded Sensing of a Spatio-Temporally Sparse Heat Source

Sajjad Boorghan Farahan, Ahmed Alajlouni, Jingzhou Zhao ยท 2026

This work presents ThermoMesh, a passive thin-film thermoelectric mesh sensor designed to detect and characterize spatio-temporally sparse heat sources through conduction-based thermal imaging. The deโ€ฆ

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Engineering Preprint PDF DOI

FreeOcc: Training-Free Embodied Open-Vocabulary Occupancy Prediction

Zeyu Jiang, Changqing Zhou, Xingxing Zuo, Changhao Chen ยท 2026

Existing learning-based occupancy prediction methods rely on large-scale 3D annotations and generalize poorly across environments. We present FreeOcc, a training-free framework for open-vocabulary occโ€ฆ

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Engineering Preprint PDF DOI

Experimental Performance of a 5G N78 Reconfigurable Intelligent Surface: From Controlled Measurements to Commercial Network Deployment

Sefa Kayrakl{i}k, Samed Kesir, Batuhan Kaplan, Ahmet Muaz Aktas, Emre Arslan, Ahmet Faruk Coskun ยท 2026

This paper presents a real-world experimental analysis of a modular reconfigurable intelligent surface (RIS) prototype designed to operate in the 5G N78 band. Unlike most RIS studies in the literatureโ€ฆ

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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 ยท 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 โ€ฆ

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Engineering Preprint PDF DOI

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA

Feeza Khan Khanzada, Jaerock Kwon ยท 2026

Learned driving agents often degrade when deployed in unseen environments. This paper studies a deliberately bounded instance of that problem in the CARLA simulator: zero-shot transfer of a closed-looโ€ฆ

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Engineering Preprint PDF DOI

Connected Dependability Cage: Run-Time Function and Anomaly Monitoring for the Development and Operation of Safe Automated Vehicles

Iqra Aslam, Nour Habib, Abhishek Buragohain, Meng Zhang, Andreas Rausch, Vaibhav Tiwari, Mohamed Benchat ยท 2026

The advancement of automated vehicles introduces complex safety challenges, particularly in dynamic and unpredictable environments where AI-enabled perception systems must operate reliably. Ensuring cโ€ฆ

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Engineering Preprint PDF DOI

Real-Time GPU-Accelerated Monte Carlo Evaluation of Safety-Critical AEB Systems Under Uncertainty

Akshay Karjol, Shadi Alawneh ยท 2026

Automatic Emergency Braking (AEB) systems represent a safety-critical national interest, with the National Highway Traffic Safety Administration (NHTSA) Federal Motor Vehicle Safety Standard (FMVSS Noโ€ฆ

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Engineering Preprint PDF DOI

Learning to Spend: Model Predictive Control for Budgeting under Non-Stationary Returns

Nilavra Pathak, Smriti Shyamal, Prasant Mhasker, Christopher Swartz ยท 2026

We study finite-horizon budget allocation as a closed-loop economic control problem and evaluate receding-horizon Model Predictive Control (MPC) relative to reactive budgeting policies. Budgets are alโ€ฆ

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Engineering Preprint PDF DOI

The Field of Safe Motion: Operationalizing Affordances in the Field of Safe Travel Using Reachability Analysis

Leif Johnson, Trent Victor, Johan Engstrom ยท 2026

We present the Field of Safe Motion (FSM), a quantitative safety model for determining whether a driver maintains a collision-free escape route, or "out," at any given moment by accounting for that drโ€ฆ

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PALCAS: A Priority-Aware Intelligent Lane Change Advisory System for Autonomous Vehicles using Federated Reinforcement Learning

Yassine Ibork, Nhat Ha Nguyen, Myounggyu Won, Lokesh Das ยท 2026

We present a priority-aware intelligent lane change advisory system based on multi-agent federated reinforcement learning, namely PALCAS, for autonomous vehicles (AVs). While existing lane-change apprโ€ฆ

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Engineering Preprint PDF DOI

A Two Stage Pipeline for Left Atrial Wall Constrained Scar Segmentation and Localization from LGE-MR Images

Bipasha Kundu, Cristian Linte ยท 2026

Accurate segmentation and localization of left atrial (LA) ablation scars from Late gadolinium enhancement (LGE)-MRI is essential for assessing the lesion completeness and guiding ablation therapy. Inโ€ฆ

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Engineering Preprint PDF DOI

Safe Navigation using Neural Radiance Fields via Reachable Sets

Omanshu Thapliyal, Malarvizhi Sankaranarayanasamy, Ravigopal Vennelakanti ยท 2026

Safe navigation in cluttered environments is an important challenge for autonomous systems. Robots navigating through obstacle ridden scenarios need to be able to navigate safely in the presence of obโ€ฆ

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Engineering Preprint PDF DOI

Walk With Me: Long-Horizon Social Navigation for Human-Centric Outdoor Assistance

Lingfeng Zhang, Xiaoshuai Hao, Xizhou Bu, Yingbo Tang, Hongsheng Li, Jinghui Lu, Xiu-shen Wei, Jiayi Ma, Yu Liu, Jing Zhang, Hangjun Ye, Xiaojun Liang, Long Chen, Wenbo Ding ยท 2026

Assisting humans in open-world outdoor environments requires robots to translate high-level natural-language intentions into safe, long-horizon, and socially compliant navigation behavior. Existing maโ€ฆ

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Engineering Preprint PDF DOI

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies

Xue Qin, Simin Luan, John See, Cong Yang, Zhijun Li ยท 2026

Skill libraries in deployed robotic systems are continually updated through fine-tuning, fresh demonstrations, or domain adaptation, yet existing typed-composition methods (BLADE, SymSkill, Generativeโ€ฆ

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Engineering Preprint PDF DOI

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

Parham Oveissi, Ankit Goel ยท 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 conโ€ฆ

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Engineering Preprint PDF DOI

ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation

Sergej Stanovcic, Daniel Sliwowski, Dongheui Lee ยท 2026

Annotating long-horizon robotic demonstrations with precise temporal action boundaries is crucial for training and evaluating action segmentation and manipulation policy learning methods. Existing annโ€ฆ

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Engineering Preprint PDF DOI

STAR-Filter: Efficient Convex Free-Space Approximation via Starshaped Set Filtering in Noisy Environments

Yuwei Wu, Yichen Zhao, Dexter Ong, Vijay Kumar ยท 2026

Approximating collision-free space is fundamental to robot planning in complex environments. Convex geometric representations, such as polytopes and ellipsoids, are widely employed due to their structโ€ฆ

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