5 papers
Iterative linear quadratic regulator on SU(N) for multi-qubit gate synthesis
Dirk Heimann, Felix Wiebe, Elie Mounzer +1
In quantum optimal control theory, gradient-based trajectory optimization techniques have proven versatile in designing multi-qubit quantum gates. Furthermore, incorporating the un…
Residual-Based Adaptive Kalman Filtering for Legged Robot State Estimation
Mihaela Popescu, Dennis Mronga, Shivesh Kumar +1
State estimation is a key component in model-based control of walking robots and, more broadly, applicable wherever hidden variables must be inferred. The Kalman filter is widely u…
Adaptive Model-Base Control of Quadrupeds via Online System Identification using Kalman Filter
Jonas Haack, Franek Stark, Shubham Vyas +2
Many real-world applications require legged robots to be able to carry variable payloads. Model-based controllers such as model predictive control (MPC) have become the de facto st…
Iterative Linear Quadratic Regulator for Quantum Optimal Control
Dirk Heimann, Felix Wiebe, Tahereh Abad +4
Quantum optimal control for gate optimization aims to provide accurate, robust, and fast pulse sequences to achieve gate fidelities on quantum systems below the error correction th…
Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition
Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera +17
In the field of robotics many different approaches ranging from classical planning over optimal control to reinforcement learning (RL) are developed and borrowed from other fields…