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Showing 1021 results for "lars ruthotto" in Engineering
Engineering Preprint PDF DOI

Trajectory Planning for an Articulated Commercial Vehicle using Model Predictive Contouring Control

A.J. Aertssen, R.G.M. Huisman, I.J.M. Besselink, J. Elfring, M.J.G. van de Molengraft · 2026

This paper presents a trajectory planning method for articulated commercial vehicles, specifically tractor-semitrailers, based on Model Predictive Contouring Control (MPCC). Although MPCC has proven e…

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Engineering Preprint PDF DOI

Low-Cost Turntable Designed for RF Phased Array Antenna Active Element Pattern Measurement

Rebekah Edwards, Taylor Martini, Jonathan E. Swindell, David W. Cox, Adam C. Goad, Austin Egbert, Charles Baylis, Robert J. Marks · 2026

Accurate antenna array calibrations and measurements of aspects such as active element pattern (AEP) are critical for enabling integrated sensing and communication (ISAC) technologies such as directio…

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Engineering Preprint PDF DOI

Stochastic Delayed Dynamics of Rumor Propagation with Awareness and Fact-Checking

Lamia Alyami, Anis Hamadouche, Amir Hussain · 2026

This paper presents a stochastic delayed differential model for rumor propagation during infodemic that incorporates human behavioral response, public skepticism and fact-checking mechanisms. A discre…

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Engineering Preprint PDF DOI

Planning Smooth and Safe Control Laws for a Unicycle Robot Among Obstacles

Aref Amiri, Basak Sakcak, Steven M. LaValle · 2026

This paper presents a framework for safe navigation of a unicycle point robot to a goal position in an environment populated with obstacles from almost any admissible state, considering input limits. …

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Engineering Preprint PDF DOI

Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning

Shathushan Sivashangaran, Vihaan Dutta, Apoorva Khairnar, Sepideh Gohari, Azim Eskandarian · 2026

Road traffic accidents are a leading cause of fatalities worldwide. In the US, human error causes 94% of crashes, resulting in excess of 7,000 pedestrian fatalities and $500 billion in costs annually.…

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Engineering Preprint PDF DOI

Fuzzy Logic Theory-based Adaptive Reward Shaping for Robust Reinforcement Learning (FARS)

Hurkan Sahin, Van Huyen Dang, Erdi Sayar, Alper Yegenoglu, Erdal Kayacan · 2026

Reinforcement learning (RL) often struggles in real-world tasks with high-dimensional state spaces and long horizons, where sparse or fixed rewards severely slow down exploration and cause agents to g…

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Engineering Preprint PDF DOI

Investing Is Compression

Oscar Stiffelman · 2026

In 1956 John Kelly wrote a paper at Bell Labs describing the relationship between gambling and Information Theory. What came to be known as the Kelly Criterion is both an objective and a closed-form s…

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Engineering Preprint PDF DOI

ReaLiTy and LADS: A Unified Framework and Dataset Suite for LiDAR Adaptation Across Sensors and Adverse Weather Conditions

Vivek Anand, Bharat Lohani, Rakesh Mishra, Gaurav Pandey · 2026

Reliable LiDAR perception requires robustness across sensors, environments, and adverse weather. However, existing datasets rarely provide physically consistent observations of the same scene under va…

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Engineering Preprint PDF DOI

RAGE-XY: RADAR-Aided Longitudinal and Lateral Forces Estimation For Autonomous Race Cars

Davide Malvezzi, Nicola Musiu, Eugenio Mascaro, Francesco Iacovacci, Marko Bertogna · 2026

In this work, we present RAGE-XY, an extended version of RAGE, a real-time estimation framework that simultaneously infers vehicle velocity, tire slip angles, and the forces acting on the vehicle usin…

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Engineering Preprint PDF DOI

Bird-Inspired Spatial Flapping Wing Mechanism via Coupled Linkages with Single Actuator

Daniel Huczala, Sun-Pill Jung, Frank C. Park · 2026

Spatial single-loop mechanisms such as Bennett linkages offer a unique combination of one-degree-of-freedom actuation and nontrivial spatial trajectories, making them attractive for lightweight bio-in…

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Engineering Preprint PDF DOI

EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World

Ryan Punamiya, Simar Kareer, Zeyi Liu, Josh Citron, Ri-Zhao Qiu, Xiongyi Cai, Alexey Gavryushin, Jiaqi Chen, Davide Liconti, Lawrence Y. Zhu, Patcharapong Aphiwetsa, Baoyu Li, Aniketh Cheluva, Pranav Kuppili, Yangcen Liu, Dhruv Patel, Aidan Gao, Hye-Young Chung, Ryan Co, Renee Zbizika, Jeff Liu, Xiaomeng Xu, Haoyu Xiong, Geng Chen, Sebastiano Oliani, Chenyu Yang, Xi Wang, James Fort, Richard Newcombe, Josh Gao, Jason Chong, Garrett Matsuda, Aseem Doriwala, Marc Pollefeys, Robert Katzschmann, Xiaolong Wang, Shuran Song, Judy Hoffman, Danfei Xu · 2026

Robot learning increasingly depends on large and diverse data, yet robot data collection remains expensive and difficult to scale. Egocentric human data offer a promising alternative by capturing rich…

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Engineering Preprint PDF DOI

ARES OS 2.0: An Orchestration Software Suite for Autonomous Experimentation Systems and Self-Driving Labs

Arthur W. N. Sloan, Robert W. Waelder, Morgen L. Smith, Nicholas Kleiner, Arnas Babeckis, Jason Wheeler, Daylond Hooper, Benji Maruyama · 2026

ARES OS 2.0 (hereinafter ARES OS) is an open-source software suite to enable laboratory automation and closed-loop autonomous experimentation. Its function is to orchestrate experimental actions and d…

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Engineering Preprint PDF DOI

RAGE: A Tightly Coupled Radar-Aided Grip Estimator For Autonomous Race Cars

Davide Malvezzi, Nicola Musiu, Eugenio Mascaro, Francesco Iacovacci, Marko Bertogna · 2026

Real-time estimation of vehicle-tire-road friction is critical for allowing autonomous race cars to safely and effectively operate at their physical limits. Traditional approaches to measure tire grip…

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Engineering Preprint PDF DOI

LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control

Yifeng Zhang, Peizhuo Li, Tingguang Zhou, Mingfeng Fan, Guillaume Sartoretti · 2026

Adaptive Traffic Signal Control (ATSC) aims to optimize traffic flow and minimize delays by adjusting traffic lights in real time. Recent advances in Multi-agent Reinforcement Learning (MARL) have sho…

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Engineering Preprint PDF DOI

Allometric Scaling Laws for Bipedal Robots

Naomi Oke, Aja M. Carter, Ben Gu, Steven Man, Cordelia Pride, Sarah Bergbreiter, Aaron M. Johnson · 2026

Scaling the design of robots up or down remains a fundamental challenge. While biological systems follow well-established isometric and allometric scaling laws relating mass, stride frequency, velocit…

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Engineering Preprint PDF DOI

LARD 2.0: Enhanced Datasets and Benchmarking for Autonomous Landing Systems

Yassine Bougacha, Geoffrey Delhomme, Melanie Ducoffe, Augustin Fuchs, Jean-Brice Ginestet (DGA), Jacques Girard, Sofiane Kraiem, Franck Mamalet, Vincent Mussot, Claire Pagetti, Thierry Sammour · 2026

This paper addresses key challenges in the development of autonomous landing systems, focusing on dataset limitations for supervised training of Machine Learning (ML) models for object detection. Our …

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Engineering Preprint PDF DOI

Battery health reporting fails independent validation across manufacturers

Jeongju Park, Kyungkak Kim, Seungho Geum, Junhyung Lee, Hyeongyu Son, Sekyung Han · 2026

Battery state-of-health (SOH) reported by on-board battery management systems (BMS) is the primary metric available to electric vehicle (EV) owners and regulators, yet no study has validated its relia…

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Engineering Preprint PDF DOI

On the Minimum Number of Control Laws for Nonlinear Systems with Input-Output Linearisation Singularities

Nikolaos D. Tantaroudas · 2026

This paper addresses the fundamental question of determining the minimum number of distinct control laws required for global controllability of nonlinear systems that exhibit singularities in their fe…

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Engineering Preprint PDF DOI

ROFT-VINS: Robust Feature Tracking-based Visual-Inertial State Estimation for Harsh Environment

Sanghyun Park, Soohee Han · 2026

SLAM (Simultaneous Localization and Mapping) and Odometry are important systems for estimating the position of mobile devices, such as robots and cars, utilizing one or more sensors. Particularly in c…

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Engineering Preprint PDF DOI

Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization

Raphael Trumpp, Denis Hoornaert, Mirco Theile, Marco Caccamo · 2026

Residual policy learning (RPL), in which a learned policy refines a static base policy using deep reinforcement learning (DRL), has shown strong performance across various robotic applications. Its ef…

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