Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions Through Monte-Carlo Planning in POMDP Environments.
Dimitri OgnibeneLorenzo MiranteLetizia MarchegianiPublished in: ICSR (2019)
Keyphrases
- search and rescue
- monte carlo
- human robot
- robotic systems
- intention recognition
- robot teams
- partially observable markov decision processes
- multi robot
- autonomous robots
- mobile robot
- partially observable
- markov chain
- vision system
- partially observable markov decision process
- monte carlo tree search
- state space
- smart environments
- human robot interaction
- reinforcement learning
- belief state
- dynamical systems
- optimal policy
- action selection
- particle filter
- multi agent
- markov decision processes
- dynamic environments
- computer vision
- dialogue system
- machine learning
- unmanned aerial vehicles
- temporal difference
- video sequences
- decision problems
- context aware
- ground truth