Autonomous robot coverage in rescue operation

PSO-Based Robot Path Planning for Multisurvivor Rescue in Limited Survival Time

“…In order to search and rescue survivors in a building after a disaster, Kibler et al constructed a flooding wireless protocol and a flooding fulfill search method and used an autonomous mobile robot as the development platform to verify the effectiveness of the wireless protocol and the search method [16]. Mandal et al utilized a generalized local Voronoi graph to establish the models of a disaster site, coverage range, and team work and planned a robot path online based on information provided by sensors during rescue [17]. Ferdous et al proposed a method of transferring people within the shortest time and the minimum cost, which focuses on disasters caused by flood, tsunami, and typhoon.…”

“…The positions of the 100 targets in case two are listed as follows: (70, 0), (60, 25), (82, 40), (80, 80), (20,45), (15,65), (36,87), (41,22), (95, 50), (2,11), (73, 10), (60, 35), (8,50), (20,90), (20,55), (15,76), (36,70), (41, 12), (95, 52), (12,17), (76,8), (60, 15), (29,30), (80, 70), (20, 35, (15, 55), (36,47), (41, 12), (95, 40), (2,31), (71,20), (60, 70), (11,90), (89,20), (20,2), (15,40), (36,65), (41, 6), (95, 40), (2,15), (70, 27), (60, 10), (88, 40), (26,60), (20,30), (15,3...…”

Planeación de trayectorias para un móvil robótico en un ambiente 3D

“…cialmente en 2 dimensiones. íxel xk pertenece o no a al tal que si es parte de él, su no ésta se calculará mediante la ecuación (5). De esta forma se logra relacionar a cada píxel con un grado de vecindad entre 0 y 1 con respecto a cada objeto.…”

“…Es así como se encuentran desempeñando diferentes tareas en campos como por ejemplo en el área de la medicina, en esta se tiene un caso puntual en el que se presentan como asistentes ante el tratamiento de patologías de diferente índole [1], en el área de automatización se emplean para tareas de tipo industrial [2], en el área de la biología permiten emular sistemas biológicos en diferentes ambientes [3] y así, otras muchas aplicaciones como su uso en el entrenamiento para procedimientos quirúrgicos [4] o para labores de búsqueda y rescate de personas [5].…”

Where to go first: prioritization of damaged areas for allocation of Urban Search and Rescue (USAR) operations (PI-USAR model)

“…SARPlan is a geographic decision-support system to assist the Canadian Forces in optimal planning of search operations for missing airplanes and to support deployment of required resources (Abi-Zeid et al 1999;Abi-Zeid & Frost 2005). Moreover, robotic USAR has grown significantly to assist rescuers in "life risking undertakings" that are "time-critical" (Liu & Nejat 2013), e.g., the "IUB Rugbot: an intelligent, rugged mobile robot" (Birk et al 2006), "Helios VII: an arm-equipped tracked vehicle for search and rescue operations" (Guarnieri et al 2004), and "autonomous robots system" (a group of robots) (Mandal et al 2013). Robot technologies were applied in SAR operations in several disasters such as the 2001 World Trade Centre collapse (Murphy 2004), the 2004 Mid Niigata earthquake in Japan, the 2005 Hurricane Katrina in the United States (Murphy et al 2008), and the 2011 Tohoku earthquake and tsunami in Japan (Guizzo 2011).…”