Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles.
Michael PanticLionel OttCesar CadenaRoland SiegwartJuan I. NietoPublished in: CoRR (2021)
Keyphrases
- motion planning
- aerial vehicles
- path planning
- mobile robot
- riemannian metric
- riemannian manifolds
- manifold learning
- geodesic distance
- fisher information
- configuration space
- tangent space
- lie group
- euclidean space
- multi robot
- obstacle avoidance
- trajectory planning
- shape space
- symmetric positive definite
- degrees of freedom
- robotic arm
- dynamic environments
- robotic tasks
- low dimensional
- collision free
- shape analysis
- vision system
- autonomous robots
- mechanical systems
- high dimensional
- shortest path
- dimensionality reduction
- tensor field
- feature space
- humanoid robot
- unmanned aerial vehicles
- multiple targets
- computer vision
- climbing robot
- robotic systems
- object detection
- spatio temporal
- image sequences