Stability and Transparency in Mixed Reality Bilateral Human Teleoperation

TL;DR

This paper explores the stability and transparency of mixed reality-based human teleoperation systems, analyzing control architectures through modeling and simulation to identify conditions for stable and effective remote manipulation.

Contribution

It develops a mathematical model and simulation framework for mixed reality human teleoperation, evaluating control schemes for stability and transparency under various delay conditions.

Findings

Stable teleoperation is achievable with small delays (<200 ms) using 3-channel control.

Large delays can be mitigated with model-mediated teleoperation incorporating local pose and force feedback.

Instability, while not dangerous, renders the system unusable.

Abstract

Recent work introduced the concept of human teleoperation (HT), where the remote robot typically considered in conventional bilateral teleoperation is replaced by a novice person wearing a mixed reality head mounted display and tracking the motion of a virtual tool controlled by an expert. HT has advantages in cost, complexity, and patient acceptance for telemedicine in low-resource communities or remote locations. However, the stability, transparency, and performance of bilateral HT are unexplored. In this paper, we therefore develop a mathematical model and simulation of the HT system using test data. We then analyze various control architectures with this model and implement them with the HT system to find the achievable performance, investigate stability, and determine the most promising teleoperation scheme in the presence of time delays. We show that instability in HT, while not destructive or dangerous, makes the system impossible to use. However, stable and transparent teleoperation are possible with small time delays (<200 ms) through 3-channel teleoperation, or with large time delays through model-mediated teleoperation with local pose and force feedback for the novice.