Falsification of conditional safety properties for cyber-physical systems with gaussian process regression

T Akazaki - International Conference on Runtime Verification, 2016 - Springer
We propose a framework to solve falsification problems of conditional safety properties—
specifications such that “a safety property φ _ safe holds whenever an antecedent condition …

A Framework for the Unsupervised Inference of Relations Between Sensed Object Spatial Distributions and Robot Behaviors

C Morse, L Feng, M Dwyer… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The spatial distribution of sensed objects strongly influences the behavior of mobile robots.
Yet, as robots evolve in complexity to operate in increasingly rich environments, it becomes …

Causality-aided falsification

T Akazaki, Y Kumazawa, I Hasuo - arXiv preprint arXiv:1709.02555, 2017 - arxiv.org
Falsification is drawing attention in quality assurance of heterogeneous systems whose
complexities are beyond most verification techniques' scalability. In this paper we introduce …

Active learning based requirement mining for cyber-physical systems

G Chen, Z Sabato, Z Kong - 2016 IEEE 55th Conference on …, 2016 - ieeexplore.ieee.org
This paper uses active learning to solve the problem of mining signal temporal requirements
of cyber-physical systems or simply the requirement mining problem. By utilizing robustness …

Inside the Box: Analysing Cyber-Physical Systems, Exploiting Models and Specifications

TB Khandait - 2022 - search.proquest.com
The notion of the safety of a system when placed in an environment with humans and other
machines has been one of the primary concerns of practitioners while deploying any cyber …

[PDF][PDF] Correct-by-Construction for Self-Evolvable Reconfigurable Robots

G Chen, Z Kong - 2017 - researchgate.net
Reconfigurable robots are a family of robots that are capable of adjusting their shapes and
functions to changing environments and tasks [1, 2, 3, 4, 5, 6]. They are posed to meet the …