This paper is a first attempt towards a theory for reactive planning systems, i.e. systems able to plan and control execution of plans in a partially known and unpredictable environment. We start from an experimental real-world application developed at IRST, discuss some of the fundamental requirements and propose a formal theory based on these requirements. The theory takes into account the following facts: (1) actions may fail, since they correspond to complex programs controlling sensors and actuators which have to work in an unpredictable environment; (2) actions need to acquire information from the real world by activating sensors and actuators; (3) actions need to generate and execute plans of actions, since the planner needs to activ...
Much of the work on execution assumes that the agent constantly senses the environment, which lets i...
Planning and monitoring in dynamic environments are the key activities for controlling a discrete ev...
Abstractelligent agents embedded in a dynamic, uncertain environment should incorporate capabilities...
This paper is a first attempt towards a theory of actions for reactive planning systems, i.e. system...
We present a logic which allows us to reason about acting, and more specifically about sensing, i.e....
A traditional approach for planning is to evaluate goal statements over state trajectories modeling ...
One approach for computing plans for reactive agents is is to check goal statements over state traje...
This paper introduces a novel planning method for reactive agents. Our planning method handles, in a...
In recent years there has been an attempt to reconcile the theoretical work done on reasoning about ...
In this paper we present the recent developments of the approach to the design of Cognitive Robots (...
Reactive plans are plans that include steps for sensing the world and coping with the data so obtain...
AbstractThis paper introduces an approach that allows an agent to exploit inherent patterns of inter...
Our research is developing persistent agents that can achieve complex tasks in dynamic and uncertain...
Artificial intelligence research on planning is concerned with designing control systems that choose...
Planning and monitoring in dynamic environments are the key activities for controlling a discrete ev...
Much of the work on execution assumes that the agent constantly senses the environment, which lets i...
Planning and monitoring in dynamic environments are the key activities for controlling a discrete ev...
Abstractelligent agents embedded in a dynamic, uncertain environment should incorporate capabilities...
This paper is a first attempt towards a theory of actions for reactive planning systems, i.e. system...
We present a logic which allows us to reason about acting, and more specifically about sensing, i.e....
A traditional approach for planning is to evaluate goal statements over state trajectories modeling ...
One approach for computing plans for reactive agents is is to check goal statements over state traje...
This paper introduces a novel planning method for reactive agents. Our planning method handles, in a...
In recent years there has been an attempt to reconcile the theoretical work done on reasoning about ...
In this paper we present the recent developments of the approach to the design of Cognitive Robots (...
Reactive plans are plans that include steps for sensing the world and coping with the data so obtain...
AbstractThis paper introduces an approach that allows an agent to exploit inherent patterns of inter...
Our research is developing persistent agents that can achieve complex tasks in dynamic and uncertain...
Artificial intelligence research on planning is concerned with designing control systems that choose...
Planning and monitoring in dynamic environments are the key activities for controlling a discrete ev...
Much of the work on execution assumes that the agent constantly senses the environment, which lets i...
Planning and monitoring in dynamic environments are the key activities for controlling a discrete ev...
Abstractelligent agents embedded in a dynamic, uncertain environment should incorporate capabilities...