Abstract. We present REACT!, an interactive tool for high-level reasoning for cognitive robotic applications. REACT! enables robotic researchers to describe robots ’ actions and change in dynamic domains, without having to know about the syntactic and semantic details of the underlying formalism in advance, and solve planning problems using state-of-the-art automated reasoners, without hav-ing to learn about their input/output language or usage. In particular, REACT! can be used to represent sophisticated dynamic domains that feature concurrency, in-direct effects of actions, and state/transition constraints. It allows for embedding externally defined calculations (e.g., checking for collision-free continuous tra-jectories) into representat...
Hybrid architectures provide an effective means for integrating world knowledge with reactive contro...
Existing approaches to high-level robot control which sup-port deliberation in one form or another u...
We consider cognitive factories with multiple teams of heterogenous robots, and address two key chal...
Abstract—We present REACT!, an interactive tool for high-level reasoning for cognitive robotic appli...
This paper presents ReAct!, an interactive educational tool for artificial intelligence (AI) plannin...
We address two key challenges of domains including teams of heterogeneous robots, hybrid reasoning f...
Traditional AI methods for navigational planning use qualitative spatial representations and reasoni...
The quest of AI and Robotics researchers to realize fully AI-driven integrated robotic systems has n...
The quest of AI and Robotics researchers to realize fully AI-driven integrated robotic systems has n...
In this paper we put forward a framework that integrates features of reactive planning models with m...
The quest of AI and Robotics researchers to realize fully AI-driven integrated robotic systems has n...
Traditional AI methods for navigational planning use qualitative spatial representations and reasoni...
A robot must often react to events in its environment and ex-ceptional conditions by suspending or a...
Abstract. Knowledge representation and reasoning capacities are vital to cognitive robotics because ...
A robot must often react to events in its environment and exceptional conditions by suspendingor aba...
Hybrid architectures provide an effective means for integrating world knowledge with reactive contro...
Existing approaches to high-level robot control which sup-port deliberation in one form or another u...
We consider cognitive factories with multiple teams of heterogenous robots, and address two key chal...
Abstract—We present REACT!, an interactive tool for high-level reasoning for cognitive robotic appli...
This paper presents ReAct!, an interactive educational tool for artificial intelligence (AI) plannin...
We address two key challenges of domains including teams of heterogeneous robots, hybrid reasoning f...
Traditional AI methods for navigational planning use qualitative spatial representations and reasoni...
The quest of AI and Robotics researchers to realize fully AI-driven integrated robotic systems has n...
The quest of AI and Robotics researchers to realize fully AI-driven integrated robotic systems has n...
In this paper we put forward a framework that integrates features of reactive planning models with m...
The quest of AI and Robotics researchers to realize fully AI-driven integrated robotic systems has n...
Traditional AI methods for navigational planning use qualitative spatial representations and reasoni...
A robot must often react to events in its environment and ex-ceptional conditions by suspending or a...
Abstract. Knowledge representation and reasoning capacities are vital to cognitive robotics because ...
A robot must often react to events in its environment and exceptional conditions by suspendingor aba...
Hybrid architectures provide an effective means for integrating world knowledge with reactive contro...
Existing approaches to high-level robot control which sup-port deliberation in one form or another u...
We consider cognitive factories with multiple teams of heterogenous robots, and address two key chal...