A Smoothing Algorithm for Minimum Sensing Path Plans in Gaussian Belief Space.
Ali Reza PedramTakashi TanakaPublished in: ACC (2023)
Keyphrases
- belief space
- smoothing algorithm
- planning under uncertainty
- dynamic environments
- belief state
- initial state
- edge preserving
- motion planning
- state space
- action sequences
- image flow
- random fields
- decision theoretic
- maximum likelihood
- partially observable
- markov decision processes
- situation calculus
- image segmentation algorithm
- mobile robot
- heuristic search
- least squares
- plan execution
- markov random field
- ai planning
- velocity field
- multiscale
- image restoration