3 citations · 3 across the 7 of their papers we have counts for
6 papers · 1 filter
Indicators of resilience for autonomous control systems
Jasper van Beers, Da-Hwi Kim, Prashant Solanki +1
As modern societies rely more on autonomous systems to facilitate daily life, assuring their safe operation is paramount. Naturally, there are many techniques available to predict…
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…
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…
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…
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…