1 citations · 1 across the 3 of their papers we have counts for
5 papers · 1 filter
Neural Barriers: An Online Certifiable Learning-enhanced Adaptive High Order Safety Critical Control
Lishuo Pan, Mattia Catellani, An Cao +2
Control barrier functions are an effective model-based tool to formally certify the safety of a system. However, transferring their theoretical guarantees to real-world robotics sy…
Motion-Uncertainty-Aware Next-Best-View Planning for Moving Object Reconstruction
Karen Li, Mattia Mantovani, Robert J. Wood +2
Active 3D reconstruction of moving objects requires selecting informative viewpoints while accounting for object motion uncertainty during the decision-to-execution delay. Existing…
HMPCC: Human-Aware Model Predictive Coverage Control
Mattia Catellani, Marta Gabbi, Lorenzo Sabattini
We address the problem of coordinating a team of robots to cover an unknown environment while ensuring safe operation and avoiding collisions with non-cooperative agents. Tradition…
Online Learning-Enhanced High Order Adaptive Safety Control
Lishuo Pan, Mattia Catellani, Thales C. Silva +2
Control barrier functions (CBFs) are an effective model-based tool to formally certify the safety of a system. With the growing complexity of modern control problems, CBFs have rec…
Robust Trajectory Generation and Control for Quadrotor Motion Planning with Field-of-View Control Barrier Certification
Lishuo Pan, Mattia Catellani, Lorenzo Sabattini +1
Many approaches to multi-robot coordination are susceptible to failure due to communication loss and uncertainty in estimation. We present a real-time communication-free distribute…