The role of planning and reactive control in an architecture for autonomous agents is discussed. The postulated architecture seperates the general robot intelligence problem into three interacting pieces: (1) robot reactive skills, i.e., grasping, object tracking, etc.; (2) a sequencing capability to differentially ativate the reactive skills; and (3) a delibrative planning capability to reason in depth about goals, preconditions, resources, and timing constraints. Within the sequencing module, caching techniques are used for handling routine activities. The planning system then builds on these cached solutions to routine tasks to build larger grain sized primitives. This eliminates large numbers of essentially linear planning problems. The...
Skill acquisition and task specific planning are essential components of any robot system, yet they ...
A subsumption planner using a parallel distributed computational paradigm based on the subsumption a...
Traditional AI methods for navigational planning use qualitative spatial representations and reasoni...
In this paper we briefly describe a software architecture that integrates reactivity and deliberatio...
Hybrid architectures provide an effective means for integrating world knowledge with reactive contro...
We have been pursuing the integration of a state-based planner as the deliberative top layer of a th...
Autonomous agents that respond intelligentlyin dyoamic, complex environments need to be both reactiv...
In this paper, we describe a reactive robot architecture that uses fast re-planning methods to avoi...
Artificial intelligence research on planning is concerned with designing control systems that choose...
Reactive deliberation is a novel robot architecture that has been designed to overcome some of the p...
Recent Artificial Intelligence research in robot planning has indicated the potential importance of ...
Recent Artificial Intelligence research in robot planning has indicated the potential importance of ...
Intelligent behavior can be observed from both natural and artificial systems, but still the notion ...
Abstract — In this paper, we describe a reactive robot architecture that uses fast re-planning metho...
Intelligent behavior can be observed from both natural and artificial systems, but still the notion ...
Skill acquisition and task specific planning are essential components of any robot system, yet they ...
A subsumption planner using a parallel distributed computational paradigm based on the subsumption a...
Traditional AI methods for navigational planning use qualitative spatial representations and reasoni...
In this paper we briefly describe a software architecture that integrates reactivity and deliberatio...
Hybrid architectures provide an effective means for integrating world knowledge with reactive contro...
We have been pursuing the integration of a state-based planner as the deliberative top layer of a th...
Autonomous agents that respond intelligentlyin dyoamic, complex environments need to be both reactiv...
In this paper, we describe a reactive robot architecture that uses fast re-planning methods to avoi...
Artificial intelligence research on planning is concerned with designing control systems that choose...
Reactive deliberation is a novel robot architecture that has been designed to overcome some of the p...
Recent Artificial Intelligence research in robot planning has indicated the potential importance of ...
Recent Artificial Intelligence research in robot planning has indicated the potential importance of ...
Intelligent behavior can be observed from both natural and artificial systems, but still the notion ...
Abstract — In this paper, we describe a reactive robot architecture that uses fast re-planning metho...
Intelligent behavior can be observed from both natural and artificial systems, but still the notion ...
Skill acquisition and task specific planning are essential components of any robot system, yet they ...
A subsumption planner using a parallel distributed computational paradigm based on the subsumption a...
Traditional AI methods for navigational planning use qualitative spatial representations and reasoni...