Analysis of Asymptotically Optimal Sampling-based Motion Planning Algorithms for Lipschitz Continuous Dynamical Systems.
Georgios PapadopoulosHanna KurniawatiNicholas M. PatrikalakisPublished in: CoRR (2014)
Keyphrases
- motion planning
- dynamical systems
- asymptotically optimal
- degrees of freedom
- path planning
- mobile robot
- control law
- asymptotic optimality
- trajectory planning
- humanoid robot
- data structure
- monte carlo
- partially observable markov decision processes
- learning algorithm
- multi dimensional
- computational complexity
- collision free