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AROBOTS
2011
14 years 4 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
ECAI
2010
Springer
14 years 10 months ago
Variable Level-Of-Detail Motion Planning in Environments with Poorly Predictable Bodies
Motion planning in dynamic environments consists of the generation of a collision-free trajectory from an initial to a goal state. When the environment contains uncertainty, preven...
Stefan Zickler, Manuela M. Veloso
SERVICES
2010
105views more  SERVICES 2010»
14 years 7 months ago
Ensuring Resource-Level Quality for Services on Grids
Abstract--Service-Oriented Architectures address the development of distributed and dynamic service-based applications. Due to the dynamics of their environments, services should b...
Andre Lage Freitas, Jean-Louis Pazat, Nikos Parlav...
CCECE
2006
IEEE
15 years 3 months ago
Linear Predictive Control of a Brachiation Robot
This work is focused on the motion control of an underactuated brachiation robot with 3 links. We present the modeling of the dynamics of the robot and introduce the application o...
Vinicius Menezes de Oliveira, Walter Fetter Lages
IROS
2009
IEEE
206views Robotics» more  IROS 2009»
15 years 4 months ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...