# Considerations for Task Allocation in Human-Robot Teams

arXiv: https://arxiv.org/abs/2210.03259 · HTML: https://mlsanity.com/paper/2210.03259/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 29 references that are in the map.
- First posted on arXiv 6 Oct 2022.

## Builds on (most cited first, 3 of 3)

- [Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda](https://mlsanity.com/paper/2002.09054/) (2020)
- [Using Trust for Heterogeneous Human-Robot Team Task Allocation](https://mlsanity.com/paper/2110.04332/) (2021)
- [Humans' Assessment of Robots as Moral Regulators: Importance of Perceived Fairness and Legitimacy](https://mlsanity.com/paper/2110.04729/) (2021)

## Abstract (arXiv)

In human-robot teams where agents collaborate together, there needs to be a clear allocation of tasks to agents. Task allocation can aid in achieving the presumed benefits of human-robot teams, such as improved team performance. Many task allocation methods have been proposed that include factors such as agent capability, availability, workload, fatigue, and task and domain-specific parameters. In this paper, selected work on task allocation is reviewed. In addition, some areas for continued and further consideration in task allocation are discussed. These areas include level of collaboration, novel tasks, unknown and dynamic agent capabilities, negotiation and fairness, and ethics. Where applicable, we also mention some of our work on task allocation. Through continued efforts and considerations in task allocation, human-robot teaming can be improved.