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JAIR
2010
145views more  JAIR 2010»
14 years 8 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
IROS
2009
IEEE
125views Robotics» more  IROS 2009»
15 years 4 months ago
Planning and fast re-planning of safe motions for humanoid robots: Application to a kicking motion
Abstract— Optimal motions are usually used as joint reference trajectories for repetitive or complex motions. In the case of soccer robots, the kicking motion is usually a benchm...
Sebastien Lengagne, Philippe Fraisse, Nacim Ramdan...
ICRA
2005
IEEE
121views Robotics» more  ICRA 2005»
15 years 3 months ago
Distributed Sampling-Based Roadmap of Trees for Large-Scale Motion Planning
Abstract— High-dimensional problems arising from complex robotic systems test the limits of current motion planners and require the development of efficient distributed motion p...
Erion Plaku, Lydia E. Kavraki
ASPDAC
2006
ACM
108views Hardware» more  ASPDAC 2006»
15 years 1 months ago
Spec-based flip-flop and latch repeater planning
Abstract-- Shrinking process geometries and frequency scaling give rise to an increasing number of interconnects that require multiple clock cycles. This paper explores efficient t...
Man Chung Hon
83
Voted
FORTE
2010
14 years 11 months ago
Exploiting the Hierarchical Structure of Rule-Based Specifications for Decision Planning
Abstract. Rule-based specifications have been very successful as a declarative approach in many domains, due to the handy yet solid foundations offered by rule-based machineries li...
Artur Boronat, Roberto Bruni, Alberto Lluch-Lafuen...