research
∙
09/12/2023
Belief Control Barrier Functions for Risk-aware Control
Ensuring safety in real-world robotic systems is often challenging due t...
share
research
∙
09/12/2023
Non-smooth Control Barrier Functions for Stochastic Dynamical Systems
Uncertainties arising in various control systems, such as robots that ar...
research
∙
09/23/2021
Risk-Aware Motion Planning in Partially Known Environments
Recent trends envisage robots being deployed in areas deemed dangerous t...
research
∙
09/04/2020
Provably Safe Control of Lagrangian Systems in Obstacle-Scattered Environments
We propose a hybrid feedback control law that guarantees both safety and...
research
∙
01/11/2020
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
Autonomous systems are often required to operate in partially observable...
research
∙
04/15/2019
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving
Designing reliable decision strategies for autonomous urban driving is c...
research
∙
07/16/2018
