5 papers
CBF-based Probabilistic Safe Navigation under Unknown Nonlinear Obstacle Dynamics
Jiwon Lee, Hugo Matias, Daniel Silvestre +1
Safe navigation for an ego vehicle in uncertain environments characterized by dynamic obstacles with unknown nonlinear dynamics is a challenging problem of significant practical in…
Hybrid Lyapunov and Barrier Function-Based Control with Stabilization Guarantees
Hugo Matias, Daniel Silvestre
Control Lyapunov Functions (CLFs) and Control Barrier Functions (CBFs) can be combined, typically by means of Quadratic Programs (QPs), to design controllers that achieve performan…
Safe Navigation under Uncertain Obstacle Dynamics using Control Barrier Functions and Constrained Convex Generators
Hugo Matias, Daniel Silvestre
This paper presents a sampled-data framework for the safe navigation of controlled agents in environments cluttered with obstacles governed by uncertain linear dynamics. Collision-…
Model-Predictive Trajectory Generation for Aerial Search and Coverage
Hugo Matias, Daniel Silvestre
This paper introduces a trajectory planning algorithm for search and coverage missions with an Unmanned Aerial Vehicle (UAV) based on an uncertainty map that represents prior knowl…
Convex MPC and Thrust Allocation with Deadband for Spacecraft Rendezvous
Pedro Taborda, Hugo Matias, Daniel Silvestre +1
This paper delves into a rendezvous scenario involving a chaser and a target spacecraft, focusing on the application of Model Predictive Control (MPC) to design a controller capabl…