2023
DOI: 10.1146/annurev-control-070122-102501
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Embodied Communication: How Robots and People Communicate Through Physical Interaction

Abstract: Early research on physical human–robot interaction (pHRI) has necessarily focused on device design—the creation of compliant and sensorized hardware, such as exoskeletons, prostheses, and robot arms, that enables people to safely come in contact with robotic systems and to communicate about their collaborative intent. As hardware capabilities have become sufficient for many applications, and as computing has become more powerful, algorithms that support fluent and expressive use of pHRI systems have begun to p… Show more

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Cited by 12 publications
(6 citation statements)
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“…A robot’s hardware and software determine the format in which the robot can communicate with the human. Notable human–robot communication paradigms include tablets, natural language, gestures, programming interfaces, and human motion ( 66–68 ). Yet, improvements to the mechanical abilities of robots typically occur without the involvement of human users.…”
Section: Discussionmentioning
confidence: 99%
“…A robot’s hardware and software determine the format in which the robot can communicate with the human. Notable human–robot communication paradigms include tablets, natural language, gestures, programming interfaces, and human motion ( 66–68 ). Yet, improvements to the mechanical abilities of robots typically occur without the involvement of human users.…”
Section: Discussionmentioning
confidence: 99%
“…• Benchmark datasets to span different models, datasets, or domains, and evaluating unlearning techniques on these benchmark datasets [179], [180]. Benchmark datasets can facilitate standardized evaluations of unlearning techniques across diverse settings and provide insights into their transferability and generalizability.…”
Section: Lack Of Transferabilitymentioning
confidence: 99%
“…Autonomous mobile robots may navigate around moving humans (Aoude et al, 2013 ), whereas robotic lower-limb prostheses (Wentink et al, 2013 ; Yuan et al, 2022 ) and exoskeletons (Jung et al, 2012 ; Zhang et al, 2022b ) support stable, efficient gait in coordination with the user. These applications all require the ability to reason about what the human aims to accomplish (Malmi, 2013 ; Abbink et al, 2018 ; Chauhan et al, 2019 ; Khalin et al, 2021 ; Kalinowska et al, 2023 ). Robots assisting locomotion rely on a variety of sensors to glean information related to the human’s intentions.…”
Section: Introductionmentioning
confidence: 99%