Implementation of N:1/1:N work distribution function for tele-operation under multi-user and multi-robot environments

Kim, Joomin; Yun, Sung-Sik; Jooyoung, Yoo; Kim, Daewon

doi:10.1109/urai.2013.6677378

Cited by 2 publications

(1 citation statement)

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“…These factors are field of view, system orientation, camera viewpoints, depth perception, degraded video quality, time delay, and camera motion. Building upon this work, Feth et al [24] and Kim et al [37,38] present a shared control framework to allow multiple operators to interact with manipulators. Lee et al [19] extend these shared control frameworks to study the impact of information delay on the performance of human operators.…”

Section: Related Workmentioning

confidence: 99%

On Multi-Human Multi-Robot Remote Interaction: A Study of Transparency, Inter-Human Communication, and Information Loss in Remote Interaction

Patel¹,

Prajankya²,

Pinciroli³

2021

Preprint

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In this paper, we investigate how to design an effective interface for remote multi-human multi-robot interaction. While significant research exists on interfaces for individual human operators, little research exists for the multihuman case. Yet, this is a critical problem to solve to make complex, largescale missions achievable in which direct human involvement is impossible or undesirable, and robot swarms act as a semi-autonomous agents. This paper's contribution is twofold. The first contribution is an exploration of the design space of computer-based interfaces for multi-human multi-robot operations. In particular, we focus on information transparency and on the factors that affect inter-human communication in ideal conditions, i.e., without communication issues. Our second contribution concerns the same problem, but considering increasing degrees of information loss, defined as intermittent reception of data with noticeable gaps between individual receipts. We derived a set of design recommendations based on two user studies involving 48 participants.

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