3 citations · 3 across the 4 of their papers we have counts for
7 papers
Critical slowing down for predicting controller induced loss of control in quadrotors
Jasper J. van Beers, Prashant Solanki, Erik-Jan van Kampen +1
We develop a novel forecasting scheme to anticipate controller induced loss of control (LOC) in quadrotors and evaluate it on real LOC flight data from four different quadrotors. F…
Reachability-Preserving Bellman Operator for the Discounted Reach-Cost Value Function: Uniting Hamilton-Jacobi Reachability and Reinforcement Learning
Isabelle El-Hajj, Prashant Solanki, Jasper van Beers +2
Hamilton-Jacobi (HJ) reachability provides rigorous safety and reachability guarantees for continuous-time dynamical systems, but its numerical solution suffers from the curse of d…
From Singleton Obstacles to Clutter: Translation Invariant Compositional Avoid Sets
Prashant Solanki, Jasper Van Beers, Coen De Visser
This paper studies obstacle avoidance under translation invariant dynamics using an avoid-side travel cost Hamilton Jacobi formulation. For running costs that are zero outside an o…
Unifying Hamilton-Jacobi Reachability and Reinforcement Learning
Prashant Solanki, Isabelle El-Hajj, Jasper van Beers +2
We unify Hamilton-Jacobi (HJ) reachability and Reinforcement Learning (RL) through a proposed running cost formulation. We prove that the resultant travel-cost value function is th…
Early warning signals for loss of control
Jasper J. van Beers, Marten Scheffer, Prashant Solanki +3
Maintaining stability in feedback systems, from aircraft and autonomous robots to biological and physiological systems, relies on monitoring their behavior and continuously adjusti…
Peaking into the Black-box: Prediction Intervals Give Insight into Data-driven Quadrotor Model Reliability
Jasper van Beers, Coen de Visser
Ensuring the reliability and validity of data-driven quadrotor model predictions is essential for their accepted and practical use. This is especially true for grey- and black-box…