Probabilistic Modeling and Bayesian Filtering for Improved State Estimation for Soft Robots.
DongWook KimMyungsun ParkYong-Lae ParkPublished in: IEEE Trans. Robotics (2021)
Keyphrases
- state estimation
- bayesian filtering
- probabilistic modeling
- kalman filter
- particle filtering
- visual tracking
- particle filter
- probabilistic model
- kalman filtering
- bayesian inference
- object tracking
- extended kalman filter
- appearance model
- bayesian networks
- dynamic systems
- human motion
- mobile robot
- proposal distribution
- robotic systems
- computer vision
- simultaneous localization and mapping
- spatio temporal
- multi robot
- optical flow
- machine learning
- closed form
- probability distribution