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IEEESCC
2008
IEEE
14 years 4 months ago
Mining Process Variants: Goals and Issues
Recently, Process-Aware Information Systems (PAIS) were introduced, which allow for dynamic process and service changes. This, in turn, has led to a large number of process model ...
Chen Li, Manfred Reichert, Andreas Wombacher
IROS
2007
IEEE
121views Robotics» more  IROS 2007»
14 years 4 months ago
Re-usable kinematic models and algorithms for manipulators and vehicles
— A generalized kinematic modeling framework, called Mechanism_Model, has been developed for use in the CLARAty robotic reusable software. Mechanism_Model supports a wide range o...
Hari Das Nayar, Issa A. D. Nesnas
EDOC
2008
IEEE
14 years 4 months ago
Achieving Business Process Flexibility with Business Rules
Business processes used in networked business are often large and complex, which makes them difficult to manage and change. In this paper we address this lack of flexibility by pr...
Tim van Eijndhoven, Maria-Eugenia Iacob, Mar&iacut...
ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
13 years 8 months ago
Parameterized maneuver learning for autonomous helicopter flight
Abstract— Many robotic control tasks involve complex dynamics that are hard to model. Hand-specifying trajectories that satisfy a system’s dynamics can be very time-consuming a...
Jie Tang, Arjun Singh, Nimbus Goehausen, Pieter Ab...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 4 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox