Expertini Research Research

Browse Research Papers

19+ open-access research outputs.

✕ Clear
🔍 jorg bornschein 📂 Engineering
Showing 19 results for "jorg bornschein" in Engineering
Engineering Preprint PDF DOI

Robodimm: A Physics-Grounded Framework for Automated Actuator Sizing in Scalable Modular Robots

J. L. Torres, M. Munoz, J. D. Alvarez, J. L. Blanco, A. Gimenez · 2026

Selecting an appropriate motor-gearbox combination is a critical design task in robotics because it directly affects cost, mass, and dynamic performance. This process is especially challenging in modu…

Read Paper →
Engineering Preprint PDF DOI

AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation

Ryosuke Takanami, Petr Khrapchenkov, Shu Morikuni, Jumpei Arima, Yuta Takaba, Shunsuke Maeda, Takuya Okubo, Genki Sano, Satoshi Sekioka, Aoi Kadoya, Motonari Kambara, Naoya Nishiura, Haruto Suzuki, Takanori Yoshimoto, Koya Sakamoto, Shinnosuke Ono, Hu Yang, Daichi Yashima, Aoi Horo, Tomohiro Motoda, Kensuke Chiyoma, Hiroshi Ito, Koki Fukuda, Akihito Goto, Kazumi Morinaga, Yuya Ikeda, Riko Kawada, Masaki Yoshikawa, Norio Kosuge, Yuki Noguchi, Kei Ota, Tatsuya Matsushima, Yusuke Iwasawa, Yutaka Matsuo, Tetsuya Ogata · 2025

As robots transition from controlled settings to unstructured human environments, building generalist agents that can reliably follow natural language instructions remains a central challenge. Progres…

Read Paper →
Engineering Preprint PDF DOI

Optimizing VO2max Prediction in Gamified Cardiac Assessment: Leveraging Effective Feature Selection and Refined Protocols for Robust Models

Vaishnavi C K, Sricharan Vijayarangan, Sri Gayathri G, Danush Adhithya N, Alex Joseph, Preejith SP, Mohanasankar Sivaprakasam · 2025

VO2max is a critical indicator of cardiopulmonary fitness, reflecting the maximum amount of oxygen the body can utilize during intense exercise. Accurately measuring VO2max is essential for assessing …

Read Paper →
Engineering Preprint PDF DOI

Retuve: Automated Multi-Modality Analysis of Hip Dysplasia with Open Source AI

Adam McArthur, Stephanie Wichuk, Stephen Burnside, Andrew Kirby, Alexander Scammon, Damian Sol, Abhilash Hareendranathan, Jacob L. Jaremko · 2025

Developmental dysplasia of the hip (DDH) poses significant diagnostic challenges, hindering timely intervention. Current screening methodologies lack standardization, and AI-driven studies suffer from…

Read Paper →
Engineering Preprint PDF DOI

SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees

Sven Koitka, Giulia Baldini, Cynthia S. Schmidt, Olivia B. Pollok, Obioma Pelka, Judith Kohnke, Katarzyna Borys, Christoph M. Friedrich, Benedikt M. Schaarschmidt, Michael Forsting, Lale Umutlu, Johannes Haubold, Felix Nensa, Rene Hosch · 2024

Traditional segmentation networks approach anatomical structures as standalone elements, overlooking the intrinsic hierarchical connections among them. This study introduces Softmax for Arbitrary Labe…

Read Paper →
Engineering Preprint PDF DOI

PWTO: A Heuristic Approach for Trajectory Optimization in Complex Terrains

Yilin Cai, Zhongqiang Ren · 2024

This paper considers a trajectory planning problem for a robot navigating complex terrains, which arises in applications ranging from autonomous mining vehicles to planetary rovers. The problem seeks …

Read Paper →
Engineering Preprint PDF DOI

BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases

Muhammad Awais, Mehaboobathunnisa Sahul Hameed, Bidisha Bhattacharya, Orly Reiner, Rao Muhammad Anwer · 2024

Recent advances have enabled the study of human brain development using brain organoids derived from stem cells. Quantifying cellular processes like mitosis in these organoids offers insights into neu…

Read Paper →
Engineering Preprint PDF DOI

Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography

William McGough, Thomas Buddenkotte, Stephan Ursprung, Zeyu Gao, Grant Stewart, Mireia Crispin-Ortuzar · 2023

This study introduces an automated pipeline for renal cancer (RC) detection in non-contrast computed tomography (NCCT). In the development of our pipeline, we test three detections models: a shape mod…

Read Paper →
Engineering Preprint PDF DOI

Swift progress for robots over complex terrain

Chen Li, Feifei Qian · 2023

A four-legged robot has learned to run on sand at faster pace than humans jog on solid ground. With low energy use and few failures, this rapid robot shows the value of combining data-driven learning …

Read Paper →
Engineering Preprint PDF DOI

Significance of Medium-Wave AM Radio Broadcasting for Enhanced Disaster Resilience in Japan: A Case Study in the Kanto Region and Fukui using Nonpowered HOOPRA

Eiichi Shoji · 2023

On the occasion of centenary anniversary of the Great Kanto Earthquake and commencement of radio broadcasting in Japan, this study reiterates the paramount importance of medium-wave (MW) AM broadcasti…

Read Paper →
Engineering Preprint PDF DOI

Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding

Juan Zuluaga-Gomez, Iuliia Nigmatulina, Amrutha Prasad, Petr Motlicek, Driss Khalil, Srikanth Madikeri, Allan Tart, Igor Szoke, Vincent Lenders, Mickael Rigault, Khalid Choukri · 2023

Voice communication between air traffic controllers (ATCos) and pilots is critical for ensuring safe and efficient air traffic control (ATC). This task requires high levels of awareness from ATCos and…

Read Paper →
Engineering Preprint PDF DOI

Large-Kernel Attention for 3D Medical Image Segmentation

Hao Li, Yang Nan, Javier Del Ser, Guang Yang · 2022

Automatic segmentation of multiple organs and tumors from 3D medical images such as magnetic resonance imaging (MRI) and computed tomography (CT) scans using deep learning methods can aid in diagnosin…

Read Paper →
Engineering Preprint PDF DOI

SymForce: Symbolic Computation and Code Generation for Robotics

Hayk Martiros, Aaron Miller, Nathan Bucki, Bradley Solliday, Ryan Kennedy, Jack Zhu, Tung Dang, Dominic Pattison, Harrison Zheng, Teo Tomic, Peter Henry, Gareth Cross, Josiah VanderMey, Alvin Sun, Samuel Wang, Kristen Holtz · 2022

We present SymForce, a library for fast symbolic computation, code generation, and nonlinear optimization for robotics applications like computer vision, motion planning, and controls. SymForce combin…

Read Paper →
Engineering Preprint PDF DOI

Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT

Fakrul Islam Tushar, Husam Nujaim, Wanyi Fu, Ehsan Abadi, Maciej A. Mazurowski, Ehsan Samei, William P. Segars, Joseph Y. Lo · 2022

Organ segmentation of medical images is a key step in virtual imaging trials. However, organ segmentation datasets are limited in terms of quality (because labels cover only a few organs) and quantity…

Read Paper →
Engineering Preprint PDF DOI

Trust, Acceptance and Social Cues in Human-Robot Interaction -- SCRITA 2021

Alessandra Rossi, Patrick Holthaus, Silvia Moros, Marcus Scheunemann, Gabriella Lakatos · 2021

This workshop aimed for a deeper exploration of trust and acceptance in human-robot interaction (HRI) from a multidisciplinary perspective including robots' capabilities of sensing and perceiving othe…

Read Paper →
Engineering Preprint PDF DOI

Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches

Albara Ah Ramli, Xin Liu, Kelly Berndt, Erica Goude, Jiahui Hou, Lynea B. Kaethler, Rex Liu, Amanda Lopez, Alina Nicorici, Corey Owens, David Rodriguez, Jane Wang, Huanle Zhang, Daniel Aranki, Craig M. McDonald, Erik K. Henricson · 2021

Differences in gait patterns of children with Duchenne muscular dystrophy (DMD) and typically-developing (TD) peers are visible to the eye, but quantifications of those differences outside of the gait…

Read Paper →
Engineering Preprint PDF DOI

Exploring the Design Space of Lunar GNSS in Frozen Orbit Conditions

Filipe Pereira, Daniel Selva · 2020

The past decade has witnessed a growing interest in lunar exploration missions. The autonomy of lunar surface and in-orbit missions is, however, dependent on accurate and instantaneous navigation serv…

Read Paper →
Engineering Preprint PDF DOI

Failure-Resilient Coverage Maximization with Multiple Robots

Ishat E Rabban, Pratap Tokekar · 2020

The task of maximizing coverage using multiple robots has several applications such as surveillance, exploration, and environmental monitoring. A major challenge of deploying such multi-robot systems …

Read Paper →
Engineering Preprint PDF DOI

Distributed Mapping with Privacy and Communication Constraints: Lightweight Algorithms and Object-based Models

Siddharth Choudhary, Luca Carlone, Carlos Nieto, John Rogers, Henrik I. Christensen, Frank Dellaert · 2017

We consider the following problem: a team of robots is deployed in an unknown environment and it has to collaboratively build a map of the area without a reliable infrastructure for communication. The…

Read Paper →