output
20112026
most citedLearning robust perceptive locomotion for quadrupedal robots in the wild

793 citations

Showing 2025Show all

19 papers · 1 filter

cond-mat.mtrl-sci2025

From Mono- to Hexa-Interstitials: Computational Insights into Carbon Defects in Diamond

Nima Ghafari Cherati, Arsalan Hashemi, Ádám Gali

We present a comprehensive first-principles investigation of carbon self-interstitial defects in diamond, ranging from mono- to hexa-interstitial complexes. By quantum mechanical d…

cs.AI2025

Quantum-Inspired Multi Agent Reinforcement Learning for Exploration Exploitation Optimization in UAV-Assisted 6G Network Deployment

Mazyar Taghavi, Javad Vahidi

This study introduces a quantum inspired framework for optimizing the exploration exploitation tradeoff in multiagent reinforcement learning, applied to UAVassisted 6G network depl…

cs.CL2025★ 1 cited

A Comparative Analysis of Recurrent and Attention Architectures for Isolated Sign Language Recognition

Nigar Alishzade, Gulchin Abdullayeva

This study presents a systematic comparative analysis of recurrent and attention-based neural architectures for isolated sign language recognition. We implement and evaluate two re…

math.DS2025

Kneading the Lorenz attractor

Łukasz Cholewa, Eran Igra

A Lorenz map is a piecewise continuous map, modeled after an idealized version of the Lorenz attractor. In this paper we settle the following question - how much…

cs.RO2025

Integration of the TIAGo Robot into Isaac Sim with Mecanum Drive Modeling and Learned S-Curve Velocity Profiles

Vincent Schoenbach, Marvin Wiedemann, Raphael Memmesheimer +2

Efficient physics simulation has significantly accelerated research progress in robotics applications such as grasping and assembly. The advent of GPU-accelerated simulation framew…

cs.CV2025★ 1 cited

Neural Rendering for Sensor Adaptation in 3D Object Detection

Felix Embacher, David Holtz, Jonas Uhrig +2

Autonomous vehicles often have varying camera sensor setups, which is inevitable due to restricted placement options for different vehicle types. Training a perception model on one…

eess.SY2025★ 12 cited

Optimal Sizing and Control of a Grid-Connected Battery in a Stacked Revenue Model Including an Energy Community

Tudor Octavian Pocola, Valentin Robu, Jip Rietveld +5

Recent years have seen rapid increases in intermittent renewable generation, requiring novel battery energy storage systems (BESS) solutions. One recent trend is the emergence of l…

cond-mat.mtrl-sci2025

Data-Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

Zhi Jiang, Marco Peres, Carlo Bradac +1

Diamond and diamond color centers have become prime hardware candidates for solid state-based technologies in quantum information and computing, optics, photonics and (bio)sensing.…

cs.LG2025

Tailored Architectures for Time Series Forecasting: Evaluating Deep Learning Models on Gaussian Process-Generated Data

Victoria Hankemeier, Malte Schilling

Developments in Deep Learning have significantly improved time series forecasting by enabling more accurate modeling of complex temporal dependencies inherent in sequential data. T…

cs.CV2025

ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matching

Mahmoud Tahmasebi, Saif Huq, Kevin Meehan +1

Stereo matching has become an increasingly important component of modern autonomous systems. Developing deep learning-based stereo matching models that deliver high accuracy while…

cs.AI2025★ 3 cited

Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms

Mehrdad Asadi, Roxana Rădulescu, Ann Nowé

Swarming systems, such as for example multi-drone networks, excel at cooperative tasks like monitoring, surveillance, or disaster assistance in critical environments, where autonom…

math-ph2025

Rotation angles of a rotating disc -- A toy model exhibiting the geometric phase --

Takuya Matsumoto, Hiroki Takada, Osami Yasukura

In this paper, we consider a simple kinematic model, which is a rotating disc on the edge of another fixed disc without slipping, and study the rotation angle of the rotating disc.…

cs.AI2025

Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration

Kasra Borazjani, Payam Abdisarabshali, Fardis Nadimi +5

As embodied AI systems become increasingly multi-modal, personalized, and interactive, they must learn effectively from diverse sensory inputs, adapt continually to user preference…

q-bio.QM2025★ 1 cited

Bioelectrical interfaces beyond excitable cells: cancer, aging, and gene expression modulation

Paolo Cadinu, Matthew Burgess, Catarina Franco Jones +12

The investigation of biological conductivity has evolved from its classical foundation based on ionic fluxes underpinning cardiac and neuronal excitability to a multifaceted regula…

cs.CV2025★ 2 cited

Feature-Preserving Mesh Decimation for Normal Integration

Moritz Heep, Sven Behnke, Eduard Zell

Normal integration reconstructs 3D surfaces from normal maps obtained e.g. by photometric stereo. These normal maps capture surface details down to the pixel level but require larg…

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…

q-bio.QM2025★ 3 cited

Multilevel classification framework for breast cancer cell selection and its integration with advanced disease models

Catarina Franco Jones, Diogo Dias, Ana C. Moreira +6

Breast cancer cell lines are indispensable tools for unraveling disease mechanisms, enabling drug discovery, and developing personalized treatments, yet their heterogeneity and inc…

cs.DC2025★ 1 cited

Future Resource Bank for ISAC: Achieving Fast and Stable Win-Win Matching for Both Individuals and Coalitions

Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour +3

Future wireless networks must support emerging applications where environmental awareness is as critical as data transmission. Integrated Sensing and Communication (ISAC) enables t…

cs.CL2025★ 9 cited

Revealing emergent human-like conceptual representations from language prediction

Ningyu Xu, Qi Zhang, Chao Du +4

People acquire concepts through rich physical and social experiences and use them to understand and navigate the world. In contrast, large language models (LLMs), trained solely th…