  In most cases, upgrading from a single-robot system to a multi-robot system
comes with increases in system payload and task performance. On the other hand,
many multi-robot systems in open environments still rely on teleoperation.
Therefore, human performance can be the bottleneck in a teleoperated
multi-robot system. Based on this idea, the multi-robot system's shared
autonomy and control methods are emerging research areas in open environment
robot operations. However, the question remains: how much does the bottleneck
of the human agent impact the system performance in a multi-robot system? This
research tries to explore the question through the performance comparison of
teleoperating a single-robot system and a dual-robot system in a box-pushing
task. This robot teleoperation experiment on human agents employs a web-based
environment to simulate the robots' two-dimensional movement. The result
provides evidence of the hardship for a single human when teleoperating with
more than one robot, which indicates the necessity of shared autonomy in
multi-robot systems.
