Approaches presented herein enable maneuvering collaborative robots to rescue persons in a hydrological disaster. A plurality of robots are dispersed in a body of water to spread out and seek victims using cooperative foraging techniques within resource constraints. A location of victims located by a robot using sensing techniques is communicated to other robots. A situational assessment is performed using victim location information to determine a number of robots to deploy to the location. The deployed robots are directed to perform coordinated maneuvers to create a connected floatation unit to support floatation of victims for rescue.

Approaches presented herein enable maneuvering collaborative robots to rescue persons in a hydrological disaster. A plurality of robots are dispersed in a body of water to spread out and seek victims using cooperative foraging techniques within resource constraints. A location of victims located by a robot using sensing techniques is communicated to other robots. A situational assessment is performed using victim location information to determine a number of robots to deploy to the location. The deployed robots are directed to perform coordinated maneuvers to create a connected floatation unit to support floatation of victims for rescue.

Systems and methods for operating a HAUCS sensing platform. The methods comprise: autonomous travel by a UAAV to a first location in proximity to a body of water (“BoW”) in accordance with a mission plan; actuating a mechanical device to transition a sensor from a retracted position in which the sensor is adjacent to a UAAV to an extended position in which the sensor resides a given distance from a UAAV; collect, by HAUCS sensing platform and sensor, sensor data concerning a water condition of BoW at different depths; actuating the mechanical device to transition the sensor from the extended position to the retracted position after the sensor data has been collected; causing the sensor data to be processed using a machine learning-based analytical engine to determine whether a water distress condition exists/is predicted to occur; and modifying the mission plan when the water distress condition exists/is predicted to occur.

Systems and methods for operating a HAUCS sensing platform. The methods comprise: autonomous travel by a UAAV to a first location in proximity to a body of water (BoW) in accordance with a mission plan; actuating a mechanical device to transition a sensor from a retracted position in which the sensor is adjacent to a UAAV to an extended position in which the sensor resides a given distance from a UAAV; collect, by HAUCS sensing platform and sensor, sensor data concerning a water condition of BoW at different depths; actuating the mechanical device to transition the sensor from the extended position to the retracted position after the sensor data has been collected; causing the sensor data to be processed using a machine learning-based analytical engine to determine whether a water distress condition exists/is predicted to occur; and modifying the mission plan when the water distress condition exists/is predicted to occur.

Approaches presented herein enable maneuvering collaborative robots to rescue persons in a hydrological disaster. A plurality of robots are dispersed in a body of water to spread out and seek victims using cooperative foraging techniques within resource constraints. A location of victims located by a robot using sensing techniques is communicated to other robots. A situational assessment is performed using victim location information to determine a number of robots to deploy to the location. The deployed robots are directed to perform coordinated maneuvers to create a connected floatation unit to support floatation of victims for rescue.

Approaches presented herein enable maneuvering collaborative robots to rescue persons in a hydrological disaster. A plurality of robots are dispersed in a body of water to spread out and seek victims using cooperative foraging techniques within resource constraints. A location of victims located by a robot using sensing techniques is communicated to other robots. A situational assessment is performed using victim location information to determine a number of robots to deploy to the location. The deployed robots are directed to perform coordinated maneuvers to create a connected floatation unit to support floatation of victims for rescue.