60 citations · 63 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
Reusable Neural Reachability via Local Refinement
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…
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…
Framework for state and unknown input estimation of linear time-varying systems
Peng Lu, Erik-Jan van Kampen, Cornelis C. de Visser +1
The design of unknown-input decoupled observers and filters requires the assumption of an existence condition in the literature. This paper addresses an unknown input filtering pro…