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AAMAS 2021

On Teammate-Pattern-Aware Autonomy

Conference Paper JAAMAS Track Autonomous Agents and Multiagent Systems

Abstract

We describe an approach for constraining robot autonomy based on the robot’s awareness of patterns of its human teammates’ behaviors, rather than either ignoring its teammates (which is fast but dangerous) or inferring their plans (which is safer but slow). We evaluate this approach in a series of simulated problems where an unmanned ground vehicle and its human teammates must rapidly respond to a sudden context shift, and identify conditions that should be (purposely) met such that a pattern-aware approach is particularly effective compared to the alternatives.

Authors

Keywords

  • Human-Robot Coordination
  • Autonomy
  • Organizational Design

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2026
Indexed papers
8043
Paper id
507510406899765490
v2026.09.13