
Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Hessian scientists of various disciplines are using High Performance Computers for their research.
Displaying 31 - 60 of 62
Autonomous robotic assembly requires a well-orchestrated sequence of high-level actions and smooth manipulation ...
Soot is an unwanted particulate pollutant with detrimental impact on the human health and climate change. Its emission ...
Project CLARA aims to develop Chemical Looping Gasification (CLG) technology from lab scale to industrial scale. CLG can ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Project VERENA aims to open new recycling paths for biogenic and municipal residues through different gasification ...
At industrial scale low-density polyethylene (LDPE) is produced at pressures up to 3000 bar in autoclave or tubular ...
Achieving long-horizon dexterous manipulation remains a challenging problem in robotics. There exists a long history of ...
The flow conditions at the combustor turbine interface (CTI) have a significant role in the development process of ...
Natural visuomotor control tasks such as pouring liquids into cups are trivial for humans but are challenging to model ...
In wireless communications, beamforming is utilized for the reception and transmission of directional wireless signals ...
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
The aim of this work is the development and validation of a numerical model of the coal gasification in a fluidized bed ...
In industrial low-density polyethylene (LDPE) production, mixtures of organic peroxide initiators are used to start the ...
Normative computational models of human sensorimotor behavior based on optimal feedback control with signal-dependent ...
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
In numerous new fields of technology (including lightweight construction, medical technology) it is desirable to ...
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
Nowadays, the design and optimization of fluidized beds are primarily based on experimental investigations which are ...
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
The high pressure turbine design is strongly affected by the flow in the upstream combustor. Very high temperatures ...
In order to obtain high efficiencies in modern jet engines, turbine inlet temperatures substantially exceed thermal ...
The fact that the efficiency of the currently used aircraft engine components is getting really close to its limits, and ...
TREVAP is the abreviation of "Technology for Revolutionary Working Processes" (Technologien für Revolutionäre ...
The rotordynamic design of turbomachinery like feedwater pumps is depending on numerous factors, including mechanical ...