Collaborative human-autonomy semantic sensing through structured POMDP planning.
Luke BurksNisar R. AhmedIan LoefgrenLuke BarbierJeremy MuesingJamison McGinleySousheel VunnamPublished in: Robotics Auton. Syst. (2021)
Keyphrases
- planning problems
- belief space
- semantic wiki
- belief state
- partially observable markov decision processes
- partially observable
- goal oriented
- collaborative learning
- domain independent
- dynamical systems
- semantic annotation
- state space
- planning under uncertainty
- partially observable markov decision process
- predictive state representations
- partially observable stochastic domains
- reinforcement learning
- domain specific
- high level
- cooperative
- natural language
- semantic web
- heuristic search
- optimal policy
- human subjects
- multi agent
- semantic similarity
- multi agent systems
- markov decision processes
- markov decision problems
- computational complexity
- stochastic domains
- turn taking
- cognitive map
- structured data
- sensor networks
- domain ontology
- wordnet
- finite state
- motion planning
- dynamic environments