Variational collision and obstacle avoidance of multi-agent systems on Riemannian manifolds.
Rama Seshan ChandrasekaranLeonardo J. ColomboMargarida CamarinhaRavi N. BanavarAnthony M. BlochPublished in: ECC (2020)
Keyphrases
- obstacle avoidance
- riemannian manifolds
- multi agent systems
- mobile robot
- path planning
- collision avoidance
- euclidean space
- motion planning
- autonomous vehicles
- geometric structure
- vector space
- mean shift
- geodesic distance
- multi class classification
- image segmentation
- manifold learning
- parameter space
- multi agent
- optical flow
- dynamic environments
- covariance matrices
- feature space
- covariance matrix
- degrees of freedom
- shape analysis
- support vector
- graph cuts
- multi robot
- multi class
- binary classification
- pattern recognition
- similarity measure
- decision trees