Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Abstract. Human-Artifact interaction in real world situations is currently an active area of research due to the importance foreseen of the social capabilities of near future robot...
In this study, we investigated people's relationships with AIBO, a robotic pet, through 6,438 spontaneous postings in online AIBO discussion forums. Results showed that AIBO ...
Batya Friedman, Peter H. Kahn Jr., Jennifer Hagman
Abstract— For many tasks in populated environments, robots need to keep track of present and future motion states of people. Most approaches to people tracking make weak assumpti...
Matthias Luber, Johannes Andreas Stork, Gian Diego...