Gestural and Touchscreen Interaction for Human-Robot Collaboration: A Comparative Study

Bongiovanni, Antonino; Luca, Alessio De; Gava, Luna; Grassi, Lucrezia; Lagomarsino, Marta; Lapolla, M.; Marino, Antonio; Roncagliolo, Patrick; Macciò, Simone; Carfì, Alessandro; Mastrogiovanni, Fulvio

doi:10.1007/978-3-031-22216-0_9

Cited by 4 publications

(2 citation statements)

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“…The key objective is to identify the risk factors and to quantify them, which can serve as a valuable tool to train the workforce. To enhance the ergonomic condition and awareness of the workers, researchers investigated several possible solutions that may be grouped in the following macro-areas: 1) effective design of comfortable and adjustable workstations ( Shikdar and Hadhrami, 2007 ; del Rio Vilas et al, 2013 ; Peruzzini et al, 2019 ; Bongiovanni et al, 2022 ), 2) development of intuitive feedback interfaces that warn about risks and hazards ( Villani et al, 2018a ; Kim et al, 2018b , 2021a ), and 3) creation of advanced human-robot shared workstations for fruitful and ergonomic collaboration in hybrid environments ( Kim et al, 2018a ; El Makrini et al, 2019 ). As conceptually illustrated in Figure 1 , the latter is the key topic of this article.…”

Section: Introductionmentioning

confidence: 99%

Ergonomic human-robot collaboration in industry: A review

et al. 2023

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In the current industrial context, the importance of assessing and improving workers’ health conditions is widely recognised. Both physical and psycho-social factors contribute to jeopardising the underlying comfort and well-being, boosting the occurrence of diseases and injuries, and affecting their quality of life. Human-robot interaction and collaboration frameworks stand out among the possible solutions to prevent and mitigate workplace risk factors. The increasingly advanced control strategies and planning schemes featured by collaborative robots have the potential to foster fruitful and efficient coordination during the execution of hybrid tasks, by meeting their human counterparts’ needs and limits. To this end, a thorough and comprehensive evaluation of an individual’s ergonomics, i.e. direct effect of workload on the human psycho-physical state, must be taken into account. In this review article, we provide an overview of the existing ergonomics assessment tools as well as the available monitoring technologies to drive and adapt a collaborative robot’s behaviour. Preliminary attempts of ergonomic human-robot collaboration frameworks are presented next, discussing state-of-the-art limitations and challenges. Future trends and promising themes are finally highlighted, aiming to promote safety, health, and equality in worldwide workplaces.

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Section: Introductionmentioning

confidence: 99%

Ergonomic human-robot collaboration in industry: A review

et al. 2023

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“…In particular, there is the theme of reliable communication between agents. Successful collaboration requires a robot to understand and react to the actions of humans, which can take different forms, e.g., voice or gestures [4]- [6], or can be implicitly expressed through nonverbal cues [7], [8]. Simultaneously, the human operator requires clear feedback and intuitive media to anticipate the robot's actions.…”

Section: Introductionmentioning

confidence: 99%

Mixed Reality as Communication Medium for Human-Robot Collaboration

Maccio

Carfì

Mastrogiovanni

2022

2022 International Conference on Robotics and Automation (ICRA)

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Humans engaged in collaborative activities are naturally able to convey their intentions to teammates through multi-modal communication, which is made up of explicit and implicit cues. Similarly, a more natural form of human-robot collaboration may be achieved by enabling robots to convey their intentions to human teammates via multiple communication channels. In this paper, we postulate that a better communication may take place should collaborative robots be able to anticipate their movements to human teammates in an intuitive way. In order to support such a claim, we propose a robot system's architecture through which robots can communicate planned motions to human teammates leveraging a Mixed Reality interface powered by modern head-mounted displays. Specifically, the robot's hologram, which is superimposed to the real robot in the human teammate's point of view, shows the robot's future movements, allowing the human to understand them in advance, and possibly react to them in an appropriate way. We conduct a preliminary user study to evaluate the effectiveness of the proposed anticipatory visualization during a complex collaborative task. The experimental results suggest that an improved and more natural collaboration can be achieved by employing this anticipatory communication mode.

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