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20012026
most citedProximity Perception in Human-Centered Robotics: A Survey on Sensing Systems and Applications

163 citations

Showing 2025Show all

8 papers · 1 filter

cs.CV2025

Unsupervised Segmentation of Micro-CT Scans of Polyurethane Structures By Combining Hidden-Markov-Random Fields and a U-Net

Julian Grolig, Lars Griem, Michael Selzer +4

Extracting digital material representations from images is a necessary prerequisite for a quantitative analysis of material properties. Different segmentation approaches have been…

cond-mat.mtrl-sci2025★ 1 cited

Solid-State Dewetting of Polycrystalline Thin Films: a Phase Field Approach

Paul Hoffrogge, Nils Becker, Daniel Schneider +3

Solid-state dewetting is the process by which thin solid films break up and retract on a substrate, forming nanostructures. While dewetting of single-crystalline films is understoo…

eess.SY2025★ 3 cited

A detailed simulation model for fifth generation district heating and cooling networks with seasonal latent storage evaluated on field data

Manuel Kollmar, Adrian Bürger, Markus Bohlayer +3

Fifth generation district heating and cooling (5GDHC) networks accelerate the use of renewable energies in the heating sector and enable flexible, efficient and future-proof heatin…

cs.RO2025★ 8 cited

Model-Based Capacitive Touch Sensing in Soft Robotics: Achieving Robust Tactile Interactions for Artistic Applications

Carolina Silva-Plata, Carlos Rosel, Barnabas Gavin Cangan +6

In this paper, we present a touch technology to achieve tactile interactivity for human-robot interaction (HRI) in soft robotics. By combining a capacitive touch sensor with an onl…

cs.LG2025★ 3 cited

Early Detection of Forest Calamities in Homogeneous Stands -- Deep Learning Applied to Bark-Beetle Outbreaks

Maximilian Kirsch, Jakob Wernicke, Pawan Datta +1

Climate change has increased the vulnerability of forests to insect-related damage, resulting in widespread forest loss in Central Europe and highlighting the need for effective, c…

cond-mat.mtrl-sci2025★ 10 cited

Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models

Balduin Katzer, Steffen Klinder, Katrin Schulz

To retrieve and compare scientific data of simulations and experiments in materials science, data needs to be easily accessible and machine readable to qualify and quantify various…

cs.DC2025★ 2 cited

FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning

F. Stricker, J. A. Peregrina, D. Bermbach +1

Federated Learning (FL) is an upcoming technology that is increasingly applied in real-world applications. Early applications focused on cross-device scenarios, where many particip…

cs.LG2025

Evaluation of Artificial Intelligence Methods for Lead Time Prediction in Non-Cycled Areas of Automotive Production

Cornelius Hake, Jonas Weigele, Frederik Reichert +1

The present study examines the effectiveness of applying Artificial Intelligence methods in an automotive production environment to predict unknown lead times in a non-cycle-contro…