Motion Planning for Continuous-Time Stochastic Processes: A Dynamic Programming Approach.
Peyman Mohajerin EsfahaniDebasish ChatterjeeJohn LygerosPublished in: IEEE Trans. Autom. Control. (2016)
Keyphrases
- stochastic processes
- motion planning
- dynamic programming
- markov processes
- stochastic process
- degrees of freedom
- path planning
- mobile robot
- probability distribution
- trajectory planning
- random fields
- humanoid robot
- state space
- random variables
- multi robot
- continuous time bayesian networks
- robotic tasks
- stereo matching
- optimal control
- dynamic bayesian networks
- brownian motion
- collision free
- infinite horizon
- probabilistic inference
- maximum entropy
- markov decision processes
- model selection
- least squares