Telepresence Reinforcement-learning Social Agent. (TERESA)
TERESA aims to develop a telepresence robot of unprecedented social intelligence, thereby helping to pave the way for the deployment of robots in settings such as homes, schools, and hospitals that require substantial human interaction. In telepresence systems, a human controller remotely interacts with people by guiding a remotely located robot, allowing the controller to be more physically present than with standard teleconferencing. We will develop a new telepresence system that frees the controller from low-level decisions regarding navigation and body pose in social settings. Instead, TERESA will have the social intelligence to perform these functions automatically.
The project's main result will be a new partially autonomous telepresence system with the capacity to make socially intelligent low-level decisions for the controller.
TERESA aims to develop a telepresence robot of unprecedented social intelligence, thereby helping to pave the way for the deployment of robots in settings such as homes, schools, and hospitals that require substantial human interaction.
The project aims to achieve substantially advance in the state of the art in socially intelligent cognitive robotic systems. A socially intelligent robot is one with the cognitive capacity to estimate human affective states and adhere to social norms when interacting with humans. the project focuses on an emerging class of robots called telepresence robots.
TERESA aims to meet four primary objectives:
- Detecting and understanding social behavior
- Socially normative telepresence robot behaviors
- Socially navigating the environment
- Learning social skills
