  Human-robot teams have the ability to perform better across various tasks
than human-only and robot-only teams. However, such improvements cannot be
realized without proper task allocation. Trust is an important factor in
teaming relationships, and can be used in the task allocation strategy. Despite
the importance, most existing task allocation strategies do not incorporate
trust. This paper reviews select studies on trust and task allocation. We also
summarize and discuss how a bi-directional trust model can be used for a task
allocation strategy. The bi-directional trust model represents task
requirements and agents by their capabilities, and can be used to predict trust
for both existing and new tasks. Our task allocation approach uses predicted
trust in the agent and expected total reward for task assignment. Finally, we
present some directions for future work, including the incorporation of trust
from the human and human capacity for task allocation, and a negotiation phase
for resolving task disagreements.
