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MPC problem where:

Gaussian Processes model forces, Impedance parameters and robot trajectory can be optimized, Multiple modes of GP models are supported

Project implemented as part of Master Thesis: Generative AI Driven Systems Engineering Competency Assessment. Developed By: Derik Roby (derik.roby@outlook.com) Supervisor: Ulf Könemann Professor: Prof. Dr.-Ing. Roman Dumitrescu

Full state estimator for robots

This project provides data to complement the master thesis 'Development of a Redox-Flow-Battery Stack in Cascade Configuration'

Controllers, skills and apps for ilc (iterative learning control) approach

In this demonstration, we present a Quantum Alternating Algorithm designed to address Mixed Integer Linear Problems (MILP). The algorithm's efficacy is showcased through the resolution of an energy use case, employing CPU and GPU quantum simulators, as well as the IBM Quantum System at Ehningen.