Add to ORKGWe consider robot self-awareness from the point of view of temporal relation based data mining. We use rational function approximations and consider Occam's razor for fluents. In particular, we use genetic algorithms to create new assertions
Taking robots out of the shop-floor and into service arm public-oriented applications brings up seve...
Abstract. In Evolutionary Robotics, auto-teaching networks, neural networks that modify their own we...
Robots with anticipatory behavior has the possibility of dealing with novel situations more effectiv...
In this paper we consider robot self-awareness from the point of view of temporal relation based dat...
We consider robot self-awareness from the point of view of temporal relation based data mining. We c...
In this paper, we consider robot self-awareness from the point of view of temporal relation based da...
We use temporal relation based data mining to consider robot self awareness. We consider the problem...
Agents need to know the effects of their actions. Strong associations between actions and effects ca...
Communicative behaviors emerge as humans navigate a populated space and interact with one another. ...
My research aims to enable spatiotemporal inference in mobile robot perception systems. Specifically...
. Machine learning can be a most valuable tool for improvingthe flexibility and efficiency of robot ...
Autonomy and self-improvement capabilities are still challenging in the fields of robotics and machi...
As robots become more sophisticated and pervasive, they will be forced to operate in more dynamic an...
We are approaching a future where robots and humans will co-exist and co-adapt. To understand how ca...
2012-09-15To survive in the real world, a robot must be able to intelligently react to unpredicted a...
Taking robots out of the shop-floor and into service arm public-oriented applications brings up seve...
Abstract. In Evolutionary Robotics, auto-teaching networks, neural networks that modify their own we...
Robots with anticipatory behavior has the possibility of dealing with novel situations more effectiv...
In this paper we consider robot self-awareness from the point of view of temporal relation based dat...
We consider robot self-awareness from the point of view of temporal relation based data mining. We c...
In this paper, we consider robot self-awareness from the point of view of temporal relation based da...
We use temporal relation based data mining to consider robot self awareness. We consider the problem...
Agents need to know the effects of their actions. Strong associations between actions and effects ca...
Communicative behaviors emerge as humans navigate a populated space and interact with one another. ...
My research aims to enable spatiotemporal inference in mobile robot perception systems. Specifically...
. Machine learning can be a most valuable tool for improvingthe flexibility and efficiency of robot ...
Autonomy and self-improvement capabilities are still challenging in the fields of robotics and machi...
As robots become more sophisticated and pervasive, they will be forced to operate in more dynamic an...
We are approaching a future where robots and humans will co-exist and co-adapt. To understand how ca...
2012-09-15To survive in the real world, a robot must be able to intelligently react to unpredicted a...
Taking robots out of the shop-floor and into service arm public-oriented applications brings up seve...
Abstract. In Evolutionary Robotics, auto-teaching networks, neural networks that modify their own we...
Robots with anticipatory behavior has the possibility of dealing with novel situations more effectiv...