In this project / thesis, you are tasked with developing a controller which enables a physiologically-based human model to navigate a complex obstacle course as quickly as possible [1][2][3][4]. You are provided with a human musculoskeletal model and a physics-based simulation environment where you can synthesize physically and physiologically accurate motions.
In this project / thesis, you will explore recent advances in deep learning for manipulating objects with robotic hands in simulated environments [1][2]. You will try out solutions that cleverly combine deep reinforcement learning, supervised learning, and engineering.
In this thesis / project, you will have the opportunity to further develop an Artificial Intelligenceagent capable of performing complex purposeful actions in MinecraftorDoomenvironments.
If you would like to know more about this thesis / project opportunity, please watch this video and contact:
Motivation is the key to successful learning, in particular practicing to play a music hit has a potential to increase motivation and by doing so to accelerate learning.
The goal of this project is to implement a NN music hit generator and integrate it into existing intelligent tutoring software.
Playing a musical instrument well is a skill that many people are pursuing over years. What makes it particularly difficult is the absence of a teacher to provide feedback and encouragement. While practicing, we commonly neither choose the best practice strategies, nor are we capable of self-analyzing our performance.
This 16x16 tactile sensor array is our workhorse for tactile-based robotics research. Providing 256 taxels on a grid of size 8cm x 8cm, we have a spatial resolution of 5mm. The modular design allows to stitch individual modules together to yield a larger tactile-sensitive surface.
This 16x16 tactile sensor array is our workhorse for tactile-based robotics research. Providing 256 taxels on a grid of size 8cm x 8cm, we have a spatial resolution of 5mm. The modular design allows to stitch individual modules together to yield a larger tactile-sensitive surface.