Multi-agent motion planning using Bayes risk.
Matthew J. BaysApoorva ShendeDaniel J. StilwellPublished in: Robotics Auton. Syst. (2016)
Keyphrases
- motion planning
- bayes risk
- multi agent
- loss function
- degrees of freedom
- upper and lower bounds
- path planning
- humanoid robot
- mobile robot
- reproducing kernel hilbert space
- distortion measure
- multi robot
- regularization parameter
- vector quantizer
- reinforcement learning
- posterior probability
- support vector
- squared error
- feature extraction
- lower bound
- pose estimation
- kernel function