Robot-Assisted Nuclear Disaster Response: Report and Insights from a Field Exercise

Chiou, Manolis; Epsimos, Georgios-Theofanis; Nikolaou, Grigoris; Pappas, Pantelis; Petousakis, Giannis; Muhl, Stefan

doi:10.1109/iros47612.2022.9981881

Cited by 18 publications

(3 citation statements)

References 42 publications

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“…For this study, we utilize our open-access multi-modal dataset, called MOCAS [18] 1 , that contains data from 21 participants, including physiological signals, facial camera videos, mouse movements, screen recordings, and subjective questionnaires based on different levels of cognitive load 1 The MOCAS dataset is open-access, and further details about it can be found at https://polytechnic.purdue.edu/ahmrs/ mocas-dataset. [18].…”

Section: Datasetmentioning

confidence: 99%

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Implications of Personality on Cognitive Workload, Affect, and Task Performance in Robot Remote Control

Cha¹,

Jo²,

Min³

2023

Preprint

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This paper explores how the personality traits of robot operators can impact their task performance during remote control of robots. The influence of personal dispositions on information processing, either directly or indirectly, needs to be examined when working with robots on specific tasks. To investigate this relationship, we utilize the open-access multimodal dataset MOCAS to examine the operator's personality, affect, cognitive load, and task performance. Our objective is to confirm if personal traits have a total effect, including both direct and indirect effects, that could significantly impact operator performance level. We specifically examine the relationship between personality traits such as extroversion, conscientiousness, and agreeableness, and task performance. We analyze the correlation between cognitive load, self-ratings of workload and affect, and the quantified individual personality traits and their experimental scores. As a result, we confirm that personality traits have no total effect on task performance. A supplementary video is at: https://youtu.be/h3XUtVn7nzg.

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Section: Datasetmentioning

confidence: 99%

“…Continued advancements in robotics have enabled remote control applications, such as accessing places that are inaccessible to robot operators [1] and surveillance [2]. These tasks typically involve repetition and require continuous human perception.…”

Section: Introductionmentioning

confidence: 99%

Implications of Personality on Cognitive Workload, Affect, and Task Performance in Robot Remote Control

Cha¹,

Jo²,

Min³

2023

Preprint

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“…respective situation [2]. Such systems, which can leverage the complementing competencies of Robot AI and humans [3] are called Variable Autonomy (VA) systems [4]- [6]. Their potential to be highly flexible and resilient to adversities makes them useful in fields like space exploration [2], search and rescue robotics [3], [4], military systems [7] and automated driving [8].…”

Section: Introductionmentioning

confidence: 99%

Experimental Evaluation of Model Predictive Mixed-Initiative Variable Autonomy Systems Applied to Human-Robot Teams

Ramesh,

Braun,

Ruan

et al. 2023

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Adjusting the level of autonomy in human-machine systems (e.g., human-robot systems) holds great potential for achieving high system performance while maintaining operator involvement. To support operators with the task of setting the proper level of autonomy, we present a novel approach to realise a Model Predictive Controller that determines the optimal LoA for each tessellation in the robot's path plan based on the estimated performance degradation due environmental adversities. We also report on an experimental evaluation of a mixed-initiative system where both the operator and the Model Predictive Controller are in charge of dynamically adjusting the level of autonomy cooperatively while performing a challenging navigational task with a mobile ground robot in a high-fidelity simulation. To this end, we conducted a user study with 15 participants comparing the performance and user experience of the model predictive system with a state-of-the-art system. The results show significant benefits of the model predictive system in terms of a reduction of conflicts for control and an improved user experience. Additionally, there are indications of benefits in terms of robot health and, consequently, performance for the model predictive system.

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Human–robot dialogue annotation for multi-modal common ground

Bonial,

Lukin,

Abrams

et al. 2024

Lang Resources & Evaluation

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Robot-Assisted Nuclear Disaster Response: Report and Insights from a Field Exercise

Cited by 18 publications

References 42 publications

Implications of Personality on Cognitive Workload, Affect, and Task Performance in Robot Remote Control

Implications of Personality on Cognitive Workload, Affect, and Task Performance in Robot Remote Control

Experimental Evaluation of Model Predictive Mixed-Initiative Variable Autonomy Systems Applied to Human-Robot Teams

Human–robot dialogue annotation for multi-modal common ground

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