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» Urologic robots and future directions
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GECCO
2009
Springer
13 years 10 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
WAPCV
2007
Springer
14 years 4 days ago
A Proto-object Based Visual Attention Model
One of the first steps of any visual system is that of locating suitable interest points, ‘salient regions’, in the scene, to detect events, and eventually to direct gaze towa...
Francesco Orabona, Giorgio Metta, Giulio Sandini
CHI
2009
ACM
14 years 25 days ago
Disembodied performance
ion of Representation in Live Theater PPPPETERETERETERETER TTTTORPEYORPEYORPEYORPEY Opera of the Future, MIT Media Lab Disembodied Performance presents a new way to think about exp...
Peter Alexander Torpey, Elena Naomi Jessop
CF
2004
ACM
13 years 11 months ago
An architectural framework and a middleware for cooperating smart components
In a future networked physical world, a myriad of smart sensors and actuators assess and control aspects of their environments and autonomously act in response to it. Examples ran...
Antonio Casimiro, Jörg Kaiser, Paulo Ver&iacu...
AGENTS
1999
Springer
13 years 10 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso