Planning for the Unexpected: Explicitly Optimizing Motions for Ground Uncertainty in Running.
Kevin GreenRoss L. HattonJonathan W. HurstPublished in: CoRR (2020)
Keyphrases
- image sequences
- uncertain data
- planning problems
- mechanical devices
- external events
- ai planning
- decision theory
- human motion
- optical flow
- decision theoretic
- motion estimation
- planning domains
- goal oriented
- reasoning under uncertainty
- motion model
- domain independent
- model checking
- belief functions
- planning process
- collision free
- incomplete knowledge
- inherent uncertainty
- moving objects
- computer vision