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A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human-Robot Interaction

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TLDR
This review provides a unifying view of human and robot sharing task execution in scenarios where collaboration and cooperation between the two entities are necessary, and where the physical coupling ofhuman and robot is a vital aspect.
Abstract
As robotic devices are applied to problems beyond traditional manufacturing and industrial settings, we find that interaction between robots and humans, especially physical interaction, has become a fast developing field. Consider the application of robotics in healthcare, where we find telerobotic devices in the operating room facilitating dexterous surgical procedures, exoskeletons in the rehabilitation domain as walking aids and upper-limb movement assist devices, and even robotic limbs that are physically integrated with amputees who seek to restore their independence and mobility. In each of these scenarios, the physical coupling between human and robot, often termed physical human robot interaction (pHRI), facilitates new human performance capabilities and creates an opportunity to explore the sharing of task execution and control between humans and robots. In this review, we provide a unifying view of human and robot sharing task execution in scenarios where collaboration and cooperation between the two entities are necessary, and where the physical coupling of human and robot is a vital aspect. We define three key themes that emerge in these shared control scenarios, namely, intent detection, arbitration, and feedback. First, we explore methods for how the coupled pHRI system can detect what the human is trying to do, and how the physical coupling itself can be leveraged to detect intent. Second, once the human intent is known, we explore techniques for sharing and modulating control of the coupled system between robot and human operator. Finally, we survey methods for informing the human operator of the state of the coupled system, or the characteristics of the environment with which the pHRI system is interacting. At the conclusion of the survey, we present two case studies that exemplify shared control in pHRI systems, and specifically highlight the approaches used for the three key themes of intent detection, arbitration, and feedback for applications of upper limb robotic rehabilitation and haptic feedback from a robotic prosthesis for the upper limb. [DOI: 10.1115/1.4039145]

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Hybrid Rigid-Soft Hand Exoskeleton to Assist Functional Dexterity

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Probabilistic Human Intent Recognition for Shared Autonomy in Assistive Robotics

TL;DR: In this article, a mathematical formulation for intent inference during assistive teleoperation under shared autonomy is presented, where a recursive Bayesian filtering approach models and fuses multiple non-verbal observations to probabilistically reason about the intended goal of the user without explicit communication.
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Autonomy in Physical Human-Robot Interaction: A Brief Survey

TL;DR: In this paper, the authors present the latest results achieved by the research community in the field of shared control (SC) and shared autonomy (SA) with special emphasis on physical human-robot interaction (pHRI).
Proceedings ArticleDOI

Controlling Assistive Robots with Learned Latent Actions

TL;DR: In this article, a teleoperation algorithm for assistive robots that learns latent actions from task demonstrations is proposed, and two user studies on a robotic arm are conducted to compare their latent action approach to both state-of-the-art shared autonomy baselines and the teleoperation strategy currently used by assistive arms.
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Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving

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Human-Robot Interaction: A Survey

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