Robots in Retirement Homes: Person Search and Task Planning for a Group of Residents by a Team of Assistive Robots
Kyle E. C. Booth, Sharaf Mohamed, Sanjif Rajaratnam, Goldie Nejat, J. Christopher Beck
- Year
- 2017
- Citations
- 15
Abstract
The authors present a general multirobot task planning and execution architecture for a team of heterogeneous mobile robots that interact with multiple human users. The designed architecture is implemented in an environment where such robots provide daily assistance to residents in a retirement home setting. The robots are able to allocate and schedule activities throughout the day and find the appropriate residents with whom to engage in assistive activities. Upon finding users, the robot queries each user for his or her availability and interest in various activities. The authors then use constraint programming within a multirobot task allocation and scheduling system to plan and schedule the robot team to facilitate individual and group activities, ensuring consistency with user-expressed availability and activity preferences. The authors test the components of the architecture on a physical multirobot system to verify the utility of the design. Experiments indicate the design can effectively plan and execute assistive activities for multiple users.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991