Formal verification of agents representing robot behaviour is a growing area due to the demand that autonomous systems have to be proven safe. In this paper we present an abstract definition of autonomy which can be used to model autonomous scenarios and propose the use of small-scale simulation models representing abstract actions to infer quantitative data. To demonstrate the applicability of the approach we build and verify a model of an unmanned aerial vehicle (UAV) in an exemplary autonomous scenario, utilising this approach
The evolution of driving technology has recently progressed from active safety features and ADAS sys...
This paper aims at describing safety architectures of autonomous systems by using Event-B formal met...
Abstract—Certain robot missions need to perform predictably in a physical environment that may have ...
This work was supported by the Engineering and Physical Sciences Research Council [grant number EP/N...
Formal verification of agents representing robot behaviour is a growing area due to the demand that ...
We show how detailed simulation models and abstract Markov models can be developed collaboratively t...
We present probabilistic models for autonomous agent search and retrieve missions derived from Simul...
An autonomous system has been widely applied for various civil/military research because of its ver...
Since the 1980s, researchers have designed a variety of robot control architectures intending to imb...
The design and control of autonomous systems that operate in uncertain or adversarial environments c...
Principled accountability for autonomous decision-making in uncertain environments requires distingu...
Autonomous systems (a.k.a., agents) are often designed to move and execute tasks, without or with li...
If autonomous vehicles are to be widely accepted, we need to ensure their safe operation. For this r...
The evolution of driving technology has recently progressed from active safety features and ADAS sys...
Some of the fundamental capabilities required by autonomous vehicles and systems for their intellige...
The evolution of driving technology has recently progressed from active safety features and ADAS sys...
This paper aims at describing safety architectures of autonomous systems by using Event-B formal met...
Abstract—Certain robot missions need to perform predictably in a physical environment that may have ...
This work was supported by the Engineering and Physical Sciences Research Council [grant number EP/N...
Formal verification of agents representing robot behaviour is a growing area due to the demand that ...
We show how detailed simulation models and abstract Markov models can be developed collaboratively t...
We present probabilistic models for autonomous agent search and retrieve missions derived from Simul...
An autonomous system has been widely applied for various civil/military research because of its ver...
Since the 1980s, researchers have designed a variety of robot control architectures intending to imb...
The design and control of autonomous systems that operate in uncertain or adversarial environments c...
Principled accountability for autonomous decision-making in uncertain environments requires distingu...
Autonomous systems (a.k.a., agents) are often designed to move and execute tasks, without or with li...
If autonomous vehicles are to be widely accepted, we need to ensure their safe operation. For this r...
The evolution of driving technology has recently progressed from active safety features and ADAS sys...
Some of the fundamental capabilities required by autonomous vehicles and systems for their intellige...
The evolution of driving technology has recently progressed from active safety features and ADAS sys...
This paper aims at describing safety architectures of autonomous systems by using Event-B formal met...
Abstract—Certain robot missions need to perform predictably in a physical environment that may have ...