This paper presents a novel planning framework, called PLATINUm that advances the state of the art with the ability of dealing with temporal uncertainty both at planning and plan execution level. PLATINUm is a comprehensive planning system endowed with (i) a new algorithm for temporal planning with uncertainty, (ii) heuristic search capabilities grounded on hierarchical modelling and (iii) a robust plan execution module to address temporal uncertainty while executing plans. The paper surveys the capabilities of this new planning system that has been recently deployed in a manufacturing scenario to support Human-Robot Collaboration
This paper introduces the concept of proactive execution of robot tasks in the context of human-robo...
Many robotic tasks, such as mobile manipulation, often require interaction with unstructured environ...
Humans and robots working together can efficiently complete tasks that are very difficult for either...
This paper presents a novel planning framework, called PLATINUm that advances the state of the art w...
This paper presents a novel planning framework, called PLATINUm that advances the state of the art w...
The ultimate goal of automated planning is the execution of plans by an artificial agent in the envi...
The ultimate goal of automated planning is the execution of plans by an artificial agent in the envi...
The field of AI planning has seen rapid progress over the last decade and planners are now able to f...
We consider a general and industrially motivated class of planning problems involving a combination ...
I am interested in designing and analysing Automated Planning systems, with special em-Research Stat...
In the future, groups of autonomous robots will cooperate in large networks in order to achieve a co...
Robots operating in the real world must deal with uncertainty, be it due to working with humans who ...
This thesis experimentally addresses the issue of planning under uncertainty in robotics, with refer...
<p>Robotic manipulation systems suffer from two main problems in unstructured human environments: <e...
Reasoning about uncertainty is an essential component of many real-world plan-ning problems, such as...
This paper introduces the concept of proactive execution of robot tasks in the context of human-robo...
Many robotic tasks, such as mobile manipulation, often require interaction with unstructured environ...
Humans and robots working together can efficiently complete tasks that are very difficult for either...
This paper presents a novel planning framework, called PLATINUm that advances the state of the art w...
This paper presents a novel planning framework, called PLATINUm that advances the state of the art w...
The ultimate goal of automated planning is the execution of plans by an artificial agent in the envi...
The ultimate goal of automated planning is the execution of plans by an artificial agent in the envi...
The field of AI planning has seen rapid progress over the last decade and planners are now able to f...
We consider a general and industrially motivated class of planning problems involving a combination ...
I am interested in designing and analysing Automated Planning systems, with special em-Research Stat...
In the future, groups of autonomous robots will cooperate in large networks in order to achieve a co...
Robots operating in the real world must deal with uncertainty, be it due to working with humans who ...
This thesis experimentally addresses the issue of planning under uncertainty in robotics, with refer...
<p>Robotic manipulation systems suffer from two main problems in unstructured human environments: <e...
Reasoning about uncertainty is an essential component of many real-world plan-ning problems, such as...
This paper introduces the concept of proactive execution of robot tasks in the context of human-robo...
Many robotic tasks, such as mobile manipulation, often require interaction with unstructured environ...
Humans and robots working together can efficiently complete tasks that are very difficult for either...