Сотницы определений искусственного интеллекта

Collaboration:

Enable robots to collaborate and coordinate effectively with multiple other agents, either people or robots;

Enable robotic systems to perceive, act, plan and learn in a distributed fashion;

Enable robots to learn efficiently from direct experience, people, other robots, and digital media; and

Enable robots to inform and instruct multiple other agents, either people or robots.

Interaction:

Enable natural interaction with novice users, including use of language and non-verbal communication;

Enable effective interaction with experts, including through remote operation;

Enable robots to reliably recognize and predict the behavior and activities of others;

Investigate social intelligence in robots, including use of mental models, perspective taking, and joint attention; and

Investigate issues of trust with respect to ubiquitous co-robots.

Scalability:

Investigate easily customizable robots for achieving a variety of tasks in a variety of situations;

Investigate easily personalizable robots for interacting with a variety of people;

Investigate composable hardware or software that supports the development of ubiquitous co-robots;

Investigate approaches to managing data produced/consumed by robots, especially data shared among agents; and

Investigate hardware and software approaches to increase mean time between failure by orders of magnitude and enable robots to fail gracefully.

Physical Embodiment:

Investigate designs and materials (e.g., soft robots) for facilitating ubiquitous interaction and for making co-robots inherently safe;

Facilitate physical collaboration (including peer-to-peer; collaborative manipulation; and augmentation of human capabilities);