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Hamilton-jacobi reachability: A brief overview and recent advances
Hamilton-Jacobi (HJ) reachability analysis is an important formal verification method for
guaranteeing performance and safety properties of dynamical systems; it has been applied …
guaranteeing performance and safety properties of dynamical systems; it has been applied …
A machine learning approach to visual perception of forest trails for mobile robots
We study the problem of perceiving forest or mountain trails from a single monocular image
acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused …
acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused …
Funnel libraries for real-time robust feedback motion planning
We consider the problem of generating motion plans for a robot that are guaranteed to
succeed despite uncertainty in the environment, parametric model uncertainty, and …
succeed despite uncertainty in the environment, parametric model uncertainty, and …
Continuous-time trajectory optimization for online uav replanning
Multirotor unmanned aerial vehicles (UAVs) are rapidly gaining popularity for many
applications. However, safe operation in partially unknown, unstructured environments …
applications. However, safe operation in partially unknown, unstructured environments …
Survey of optimal motion planning
Y Yang, J Pan, W Wan - IET Cyber‐systems and Robotics, 2019 - Wiley Online Library
Optimal motion planning becomes more and more important these days and is critical for
motion planning algorithms developed in the academia to be applicable to real‐world …
motion planning algorithms developed in the academia to be applicable to real‐world …
FOSSIL: a software tool for the formal synthesis of lyapunov functions and barrier certificates using neural networks
This paper accompanies FOSSIL: a software tool for the synthesis of Lyapunov functions
and of barrier certificates (or functions) for dynamical systems modelled as differential …
and of barrier certificates (or functions) for dynamical systems modelled as differential …
Exact verification of relu neural control barrier functions
Abstract Control Barrier Functions (CBFs) are a popular approach for safe control of
nonlinear systems. In CBF-based control, the desired safety properties of the system are …
nonlinear systems. In CBF-based control, the desired safety properties of the system are …
Learning certified control using contraction metric
In this paper, we solve the problem of finding a certified control policy that drives a robot from
any given initial state and under any bounded disturbance to the desired reference …
any given initial state and under any bounded disturbance to the desired reference …
Synthesizing barrier certificates using neural networks
This paper presents an approach of safety verification based on neural networks for
continuous dynamical systems which are modeled as a system of ordinary differential …
continuous dynamical systems which are modeled as a system of ordinary differential …
Automated and formal synthesis of neural barrier certificates for dynamical models
A Peruffo, D Ahmed, A Abate - … conference on tools and algorithms for the …, 2021 - Springer
We introduce an automated, formal, counterexample-based approach to synthesise Barrier
Certificates (BC) for the safety verification of continuous and hybrid dynamical models. The …
Certificates (BC) for the safety verification of continuous and hybrid dynamical models. The …