Robot-Guided Evacuation as a Paradigm for Human-Robot Interaction Research

Wagner, Alan R.

doi:10.3389/frobt.2021.701938

Cited by 21 publications

(10 citation statements)

References 34 publications

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“…While this has many advantages given that language is a dominant communication mechanism, in our approach the verbal detection and processing is English only. This limitation on the drone’s ability to detect other spoken languages could inadvertently increase the survival rate of some evacuees over others, such as non-English speakers ( Wagner, 2021 ). Identity adaptive drones for emergencies need to be able to detect the spoken language of as diverse a population as possible.…”

Section: Discussionmentioning

confidence: 99%

“Are we in this together?”: embedding social identity detection in drones improves emergency coordination

Kordoni,

Gavidia-Calderon,

Levine

et al. 2023

Front. Psychol.

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Autonomous systems, such as drones, are critical for emergency mitigation, management, and recovery. They provide situational awareness and deliver communication services which effectively guide emergency responders’ decision making. This combination of technology and people comprises a socio-technical system. Yet, focusing on the use of drone technology as a solely operational tool, underplays its potential to enhance coordination between the different agents involved in mass emergencies, both human and non-human. This paper proposes a new methodological approach that capitalizes on social identity principles to enable this coordination in an evacuation operation. In the proposed approach, an adaptive drone uses sensor data to infer the group membership of the survivors it encounters during the operation. A corpus of 200 interactions of survivors’ talk during real-life emergencies was computationally classified as being indicative of a shared identity or personal/no identity. This classification model, then, informed a game-theoretic model of human-robot interactions. Bayesian Nash Equilibrium analysis determined the predicted behavior for the human agent and the strategy that the drone needs to adopt to help with survivor evacuation. Using linguistic and synthetic data, we show that the identity-adaptive architecture outperformed two non-adaptive architectures in the number of successful evacuations. The identity-adaptive drone can infer which victims are likely to be helped by survivors and where help from emergency teams is needed. This facilitates effective coordination and adaptive performance. This study shows decision-making can be an emergent capacity that arises from the interactions of both human and non-human agents in a socio-technical system.

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Section: Discussionmentioning

confidence: 99%

“Are we in this together?”: embedding social identity detection in drones improves emergency coordination

Kordoni,

Gavidia-Calderon,

Levine

et al. 2023

Front. Psychol.

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“…A. Advancements in Human-Robot Interaction/Collaboration HRI/C has witnessed significant advancements in recent years, enabling a shift from isolated robots to collaborative scenarios [7]. These advancements stem from breakthroughs in sensing technologies, actuation systems, and artificial intelligence algorithms.…”

Section: Human-robot Interaction/collaboration: From Isolation To Inc...mentioning

confidence: 99%

From Rigid to Hybrid/Soft Robots: Exploration of Ethical and Philosophical Aspects in Shifting from Caged Robots to Human-Robot Teaming

Hua,

Langås,

Zafar

et al. 2023

2023 IEEE Symposium Series on Computational Intelligence (SSCI)

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This paper delves into the ethical, philosophical, and practical dimensions associated with the transition from caged robots to human-robot teaming (HRT). By exploring the evolving dynamics between humans and robots, this paper examines the ethical challenges, philosophical implications, and practical considerations that arise as collaboration and integration between humans and robots deepen. It emphasises the need for responsible design, implementation, and ethical frameworks to guide the development and deployment of human-robot teams. Particular focus is put into the ethical ramifications of choosing between rigid and soft actuators. The study underscores the significance of employing admittance and impedance control techniques to regulate interaction forces and compliance between humans and robots. By analysing the ethical implications of utilising soft actuators, the paper emphasises the potential advantages, such as enhanced safety and reduced risk of harm during close humanrobot collaboration.

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“…In Burke et al (2004) , a field study on human-robot interaction during an urban SAR training exercise in Miami was presented, focusing on the challenges and dynamics that arise in this context. In Wagner (2021) , an analysis on emergency evacuation as a valuable paradigm for studying human-robot interaction was provided, emphasising the need for ethical considerations. Different design approaches are discussed together with ethical implications, outlines, and a roadmap for the development and evaluation of emergency evacuation robots.…”

Section: Introductionmentioning

confidence: 99%

Collaborative robots (cobots) for disaster risk resilience: a framework for swarm of snake robots in delivering first aid in emergency situations

Moosavi,

Zafar,

Sanfilippo

2024

Front. Robot. AI

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Cobots are robots that are built for human-robot collaboration (HRC) in a shared environment. In the aftermath of disasters, cobots can cooperate with humans to mitigate risks and increase the possibility of rescuing people in distress. This study examines the resilient and dynamic synergy between a swarm of snake robots, first responders and people to be rescued. The possibility of delivering first aid to potential victims dispersed around a disaster environment is implemented. In the HRC simulation framework presented in this study, the first responder initially deploys a UAV, swarm of snake robots and emergency items. The UAV provides the first responder with the site planimetry, which includes the layout of the area, as well as the precise locations of the individuals in need of rescue and the aiding goods to be delivered. Each individual snake robot in the swarm is then assigned a victim. Subsequently an optimal path is determined by each snake robot using the A* algorithm, to approach and reach its respective target while avoiding obstacles. By using their prehensile capabilities, each snake robot adeptly grasps the aiding object to be dispatched. The snake robots successively arrive at the delivering location near the victim, following their optimal paths, and proceed to release the items. To demonstrate the potential of the framework, several case studies are outlined concerning the execution of operations that combine locomotion, obstacle avoidance, grasping and deploying. The Coppelia-Sim Robotic Simulator is utilised for this framework. The analysis of the motion of the snake robots on the path show highly accurate movement with and without the emergency item. This study is a step towards a holistic semi-autonomous search and rescue operation.

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Robot-Guided Evacuation as a Paradigm for Human-Robot Interaction Research

Cited by 21 publications

References 34 publications

“Are we in this together?”: embedding social identity detection in drones improves emergency coordination

“Are we in this together?”: embedding social identity detection in drones improves emergency coordination

From Rigid to Hybrid/Soft Robots: Exploration of Ethical and Philosophical Aspects in Shifting from Caged Robots to Human-Robot Teaming

Collaborative robots (cobots) for disaster risk resilience: a framework for swarm of snake robots in delivering first aid in emergency situations

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