Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
Contact-rich manipulation remains one of the most challenging tasks in robotics, requiring precise control under noisy ...
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Contact-rich manipulation remains one of the most challenging tasks in robotics, requiring precise control under noisy ...
Large agent networks are abundant in applications and nature and pose difficult challenges in the field of multi-agent ...
The microstructure of a material strongly influences its properties and must therefore be studied carefully to tailor ...
The microstructure of a material strongly influences its properties and must therefore be studied carefully to tailor ...
The increased popularity of drones and unmanned aerial vehicles (UAVs) for both commercial and recreational purposes has ...
The increased popularity of drones and unmanned aerial vehicles (UAVs) for both commercial and recreational purposes has ...
Uncertainty quantification is a key aspect of modern nuclear theory. Theories of nuclear forces and most many-body ...
Reconfigurable Intelligent Surfaces (RISs) are being explored to enhance wireless links when the line of sight (LoS) ...
Machine learning has become an integral part of our society. In particular, the advancements driven by neural networks ...
Machine learning has become an integral part of our society. In particular, the advancements driven by neural networks ...
Hydrogen is regarded as a key technology for achieving climate-neutral aviation and current efforts include developing ...
Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
Arsenic (As) contamination of groundwater is a problem of enormous scale and affects the health of millions of people ...
Arsenic (As) contamination of groundwater is a severe global health problem, affecting millions of people worldwide. The ...
Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
When procuring an HPC system, the system need to fulfill certain criterias, regarding performance but also energy ...
Iron powder is emerging as a promising carbon-free energy carrier that can be used for a clean iron-based energy cycle ...
The design of the combustion chamber in a jet engine is most crucial when it comes to reducing emissions of pollutants ...
The field of protein engineering is a rapidly evolving area of research that holds great promise for numerous ...
Plasma actuators, Figure 1, represent flow control devices that have no moving parts and that work by ionizing the air ...
This project’s main objective is the numerical analysis of mechanically ventilated rooms in different scenarios under ...
Green hydrogen has been identified as an important energy carrier for the future energy economy. However, due to the ...
Mesoporous materials, which have pore sizes in the range of 10-200 nanometers, have attracted significant attention due ...
The investigation of novel or optimizing established processes is of paramount importance in chemical engineering in the ...
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
The exaFOAM project [1] aims at overcoming the current limitations of Computational Fluid Dynamics (CFD) technology ...
The fluid temperatures in the high-pressure turbine of a commercial jet engine or industrial gas turbine by far exceed ...
Over the last decades, turbomachinery has been subject of continuous improvement and fundamental research within the ...
Project VERENA aims to open new recycling paths for biogenic and municipal residues through different gasification ...
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...