Heterogeneous human-robot task allocation based on artificial trust.

ABSTRACT: Effective human-robot collaboration requires the appropriate allocation of indivisible tasks between humans and robots. A task allocation method that appropriately makes use of the unique capabilities of each agent (either a human or a robot) can improve team performance. This paper presents a novel task allocation method for heterogeneous human-robot teams based on artificial trust from a robot that can learn agent capabilities over time and allocate both existing and novel tasks. Tasks are allocated to the agent that maximizes the expected total reward. The expected total reward incorporates trust in the agent to successfully execute the task as well as the task reward and cost associated with using that agent for that task. Trust in an agent is computed from an artificial trust model, w

SUBMITTER: Ali A 

PROVIDER: S-EPMC9468009 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature