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2007
136views Robotics» more  RSS 2007»
15 years 8 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
AAMAS
2005
Springer
15 years 7 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
231
Voted
JCIT
2007
192views more  JCIT 2007»
15 years 7 months ago
Action Representation for Natural Language Interfaces to Agent Systems
In this paper, we outline a framework for the development of natural language interfaces to agent systems with a focus on action representation. The architecture comprises a natur...
Christel Kemke
ICRA
2010
IEEE
178views Robotics» more  ICRA 2010»
15 years 5 months ago
Biomimetic optic flow sensing applied to a lunar landing scenario
Autonomous landing on unknown extraterrestrial bodies requires fast, noise-resistant motion processing to elicit appropriate steering commands. Flying insects excellently master vi...
Florent Valette, Franck Ruffier, Stéphane V...
ICML
2003
IEEE
16 years 8 months ago
Planning in the Presence of Cost Functions Controlled by an Adversary
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum