Search and Rescue Robotics
By Robin Roberson Murphy, S. Tadokoro, Daniele Nardi, Adam Jacoff, P. Fiorini, Howie Choset, A. Erkmen. Springer Handbook of Robotics, 2008
355 citations recorded by the source corpus.
In order to summarize the status of rescue robotics, this chapter will cover the basic characteristics of disasters and their impact on robotic design, describe the robots actually used in disasters to date, promising robot designs (e.g., snakes, legged locomotion) and concepts (e.g., robot teams or swarms, sensor networks), methods of evaluation in benchmarks for rescue robotics, and conclude with a discussion of the fundamental problems and open issues facing rescue robotics, and their evolution from an interesting idea to widespread adoption. The Chapter will concentrate on the rescue phase, not recovery, with the understanding that capabilities for rescue can be applied to, and extended for, the recovery phase. The use of robots in the prevention and preparedness phases of disaster management are outside the scope of this chapter.
Subfields: Aerospace Engineering, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/3fb94cf58d728a59ee2e15ee1bf630521b860fb2
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Citations in the corpus
- Autonomous transportation and deployment with aerial robots for search and rescue missions (2011, background): “Search and rescue (SAR) takes many forms, each with its own unique risks and dangers to victim and responder (Murphy et al., 2008).”
- Adaptive Curriculum Learning (2021, background): “In human education, a teacher arranges the learning materials in the order of increasing difficulty, such that students can learn more complex concepts faster after gaining sufficient basic and easy knowledge [8,24].”
- On The Power of Curriculum Learning in Training Deep Networks (2019, background): “In many application areas, it is a common practice to introduce concepts in ascending order of difficulty, as judged by either the human teacher or in a problem dependent manner (e.g. Murphy et al., 2008; Zaremba & Sutskever, 2014; Amodei et al., 2016).”
- Human–Robot Interaction (2016, neutral): “…in using robotic avatars for surveillance, search and rescue for police work, border patrol, firefighting and rescue, and military operations (Barnes & Jen-tsch, 2010), with many human factors issues for display and control and mental workload (Murphy & Peschel, 2013; Murphy et al., 2008).”