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» Parametric POMDPs for planning in continuous state spaces
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ICTAI
2002
IEEE
13 years 11 months ago
Calculus of Variations in Discrete Space for Constrained Nonlinear Dynamic Optimization
In this paper, we propose new dominance relations that can speed up significantly the solution process of nonlinear constrained dynamic optimization problems in discrete time and...
Yixin Chen, Benjamin W. Wah
ATAL
2009
Springer
13 years 7 months ago
Efficient physics-based planning: sampling search via non-deterministic tactics and skills
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Stefan Zickler, Manuela M. Veloso
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
14 years 20 days ago
Learning nonparametric policies by imitation
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
David B. Grimes, Rajesh P. N. Rao
CORR
2012
Springer
235views Education» more  CORR 2012»
12 years 2 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
ICRA
2007
IEEE
150views Robotics» more  ICRA 2007»
14 years 17 days ago
A Motion Planner for a Hybrid Robotic System with Kinodynamic Constraints
— The rapidly increasing complexity of tasks robotic systems are expected to carry out underscores the need for the development of motion planners that can take into account disc...
Erion Plaku, Lydia E. Kavraki, Moshe Y. Vardi