Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Max Planck Institute for Intelligent SystemsDE363 papers
- Center for Integrated Quantum Science and TechnologyDE290 papers
- Max Planck SocietyDE234 papers
- Max Planck Institute for Solid State ResearchDE229 papers
- Centre National de la Recherche ScientifiqueFR219 papers
- The University of TokyoJP83 papers
- ETH ZurichCH80 papers
- Karlsruhe Institute of TechnologyDE75 papers
- Heidelberg UniversityDE74 papers
- Technical University of MunichDE72 papers
- Polish Academy of SciencesPL65 papers
- Leibniz University HannoverDE64 papers
4,584 papers
Context-Aware Generation and Modulation of Expressive Motion Behavior using Multimodal Foundation Models
Till Hielscher, Fabio Scaparro, Kai O. Arras
Expressive robot motion positively impacts human-robot interaction by improving user engagement, likability, or task performance. We present a novel approach to automatically gener…
PDNet: Exploring Pruning and Distillation for Real-Time Worker Activity Recognition in Industrial Assembly
Malek Baba, Thinesh Thiyakesan Ponbagavathi, Alina Roitberg
In this work, we address real-time fine-grained human activity recognition (HAR) in industrial assembly and introduce PDNet, a new framework that jointly exploits structured prunin…
The Investment Acceleration Principle Revisited by means of a Neural Network
Guido Fioretti
The investment acceleration principle is a heuristic for modelling investment time series out of consumption time series. The model presented herein develops a disaggregated accele…
Lubricant Temperature Observer for Gearboxes in Industrial Robots
Christian J. E. Bauer, Markus Neher, Valentin Kamm +3
The position and path accuracy of industrial robots is strongly affected by temperature. In particular, temperature-dependent friction and altered hysteresis and transmission error…
Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series
Christian J. E. Bauer, Valentin Kamm, Marcel Dzubba +3
Industrial robots are rarely used for machining tasks due to their limited path accuracy. This accuracy is mainly limited by inaccuracies in the drive trains. Compliance and transm…
Manipulation of Deformable Linear Objects Using Model Predictive Path Integral Control with Bidirectional Long Short-Term Memory Learning
Lukas Zeh, Johannes Meiwaldt, Zexu Zhou +2
The manipulation of Deformable Linear Objects (DLOs) such as cables poses a significant challenge for automation due to their infinite degrees of freedom and non-linear dynamics. I…
What Affects the Performance of Fake Audio Detection? Analyzing Factors in a Continual Learning Setting
Yixuan Xiao, Ngoc Thang Vu
The increasing sophistication of deepfake audio generation technologies makes it important to develop robust fake audio detection systems that can adapt over time. This study exami…
Situation Awareness for Intelligent Data Distribution in Connected Vehicles
Falk Dettinger, Akshay Narla, Michael Weyrich
The limitations of on-board sensors and blind spots caused by occlusion cause the reduction of perception quality in autonomous vehicles. In such cases, cooperative perception prov…
Impact of interstitial carbon on local lattice distortions in CoCrFeMnNi high-entropy alloys
Alevtina Smekhova, Alexei Kuzmin, G. Mohan Muralikrishna +5
Here, we explore component-dependent local lattice distortions in polycrystalline, equiatomic, face-centered cubic CrMnFeCoNi high-entropy alloys and their modifications induced by…
Amulet: Frame Extrapolation Through Sparse Layered Scene Representation and Adaptive Shading
Sebastian Künzel, Fabian Schmierer, Sergej Geringer +3
We introduce Amulet, a rendering method that transforms a scene into a sparse, tiled and layered intermediate scene representation (cache) for high-frequency frame extrapolation. I…
Physics-Informed Machine Learning in Prognostics and Health Management: A Systematic Literature Review
Christopher Braun, Julian Raible, Marco F. Huber
In modern industry, keeping complex systems reliable, safe, and efficient hinges on Prognostics and Health Management (PHM). Machine Learning (ML) has largely driven advancements i…
Sonic Stage: Auto-Generating Interactive Spatial Soundscapes to Facilitate Dialogue Video Comprehension for Blind Viewers
Shuchang Xu, Xiaofu Jin, Gaurav Jain +4
Audio description (AD) makes film and television accessible to blind and low-vision (BLV) audiences by narrating characters' actions. However, in scenes with lots of dialogue, AD o…
"I understand your perspective": LLM Persuasion through the Lens of Communicative Action Theory
Esra Dönmez, Agnieszka Falenska
Large Language Models (LLMs) can generate high-quality arguments, yet their ability to engage in nuanced and persuasive communicative actions remains largely unexplored. This work…
Evaluating Hardware Abstraction Layer Concepts for Software Defined Vehicles: Insights into Applicability and Effectiveness
Akshay Narla, Johannes Stümpfle, Souvik Saha +2
The emergence of Software-Defined Vehicles represents a fundamental shift in automotive design, prioritizing software-centric architectures over traditional hardware-driven models.…
Changes in Pluto's Atmosphere Based on Stellar Occultation Data from 2017 to 2023
Amanda A. Sickafoose, Michael J. Person, Carlos A. Zuluaga +14
Pluto's tenuous atmosphere has bar-level pressure and is composed primarily of , with a variable haze. Its eccentric orbit combined with high obliquity leads to si…
Color-Center-Compatible Freestanding Diamond Directional Couplers for Quantum Photonics
Colin Sauerzapf, Tom Jäger, Jonathan Enßlin +6
Freestanding all-diamond color-center photonics is a promising platform for optical integration of spin-based quantum defects. Within this geometry, we realize a key building block…
Machine learning via artificial neural networks coupled with density functional theory and experiments for thermodynamic optimization of high-entropy alloys for hydrogen storage at room temperature
Shivam Dangwal, Pranav Kumar, Yuji Ikeda +2
High-entropy alloys (HEAs) have received considerable attention for hydrogen storage because of their compositional flexibility; however, designing HEAs with optimal thermodynamics…
Functional trends and rheological evaluation of polyurethane microcapsules in dermato-cosmetic applications
Sharadwata Pan, Andreas Wierschem, Natalie Germann +1
To date, natural and synthetic polymer-based microcapsules have been used extensively in various dermato-cosmetic applications, with an emphasis on the targeted delivery of active…
Magnetic field free nonreciprocity in tapered atomic cladded nano waveguide
Ilan Sher, Benyamin Shnirman, Arieh Grosman +6
Optical nonreciprocity is a fundamental requirement for modern optical communications and quantum information processing, where it is essential to protect sensitive sources from de…
Size, Shape, and Material matter: All-optical Mie void sensor for complex nanoplastic mixtures
Dominik Ludescher, Julian Schwab, Serkan Arslan +5
The fragmentation of plastic debris and the direct release of nanoplastics have emerged as a pressing ecological concern. Once dispersed, these enduring particles infiltrate food w…
Evaluation of Conversational Agents: Understanding Culture, Context and Environment in Emotion Detection
Martha Teiko Teye, Yaw Marfo Missah, Emmanuel Ahene +2
Valuable decisions and highly prioritized analysis now depend on applications such as facial biometrics, social media photo tagging, and human robots interactions. However, the abi…
Learning-Accelerated Optimization-based Trajectory Planning for Cooperative Aerial-Ground Handover Missions
Jingshan Chen, Bochen Yu, Henrik Ebel +1
This paper presents a learning-augmented trajectory planning framework for cooperative unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) handover missions. While cent…
Robust Agent Compensation (RAC): Teaching AI Agents to Compensate
Srinath Perera, Kaviru Hapuarachchi, Frank Leymann +1
We present Robust Agent Compensation (RAC), a log-based recovery paradigm (providing a safety net) implemented through an architectural extension that can be applied to most Agent…
Comparing the Performance of Heterogeneous Conjugate Gradient and Cholesky Solvers on Various Hardware Using SYCL
Tim Thüring, Alexander Strack, Dirk Pflüger
Many important real-world applications, such as System Identification with Gaussian Processes, involve solving linear systems with symmetric positive-definite matrices. The iterati…